Laurea in Computer Science/Science dell Informazione (MSc equivalent, 1982, Univ. Pisa, 110/110 cum laude)

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1 Fosca GIANNOTTI Curriculum Vitae Fosca Giannotti was born on 4 October 1958 in Castiglione Garfagnana (Lucca, Italy). She is married with Dino Pedreschi and has a son (Nicola, 21) and a daughter (Bianca, 18). Education: Current position: Laurea in Computer Science/Science dell Informazione (MSc equivalent, 1982, Univ. Pisa, 110/110 cum laude) Director of Research CNR (since January 2007, ISTI-CNR, Pisa). F.G. leads the Pisa KDD Lab - Knowledge Discovery and Delivery Lab - a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, the earliest Italian research group specifically targeted at data mining, and one of the first in Europe Positions held: - Visiting scientist at Barabási Lab, Center for Complex Network Research, Northeastern University, Boston ( ) - National Coordinator of the ICT Department of CNR, Area Data mining and Semantic Web. ( ) - Visiting scientist at UCLA Dept. of Computer Science, Univ. of California at Los Angeles (2006) - Visiting scientist at UCLA Dept. of Computer Science, Univ. of California at Los Angeles (1995) - Visiting scientist at CWI Amsterdam, The Netherlands (1993) - CNR Researcher ( , CNUCE-CNR, Pisa) - Visiting scientist at MCC, Microelectronics and Computer Technology Corporation, Austin, USA funded by a NATO-CNR fellowship ( ) - Distinguished researcher VII livello metalmeccanici Systems & Management R&D Lab, Pisa ( ) - Distinguished researcher I livello commercio SIPE Optimation R&D Lab, Pisa ( ) - Research fellow Progetto Finalizzato Informatica DATAID, Università di Pisa ( ) Research activity F.G. is the (co-)author of more than 170 publications on the following topics: - Social-complex network analysis: Knowledge Discovery in Complex Networks, Multi-dimensional Network Analysis, Analysis and Mining of Evolving Networks, interplay between Mobility and Social Networks, interplay between Data Mining and Network Analysis, Community Discovery - Data Mining and Knowledge Discovery in Databases: Privacy-preserving Data Mining, Spatiotemporal Data Mining, Constraint-based Pattern Discovery, Data Mining Query Languages, Knowledge Discovery Support Environments, Mobility data mining, Graph and Network Mining, Market Basket Analysis, Fraud Detection against Tax Evasion, Web Usage Mining and Enhanced Content Delivery, Mining of Biological and Medical Data. - Databases: Logic in Databases, Expressiveness Analysis of Logic Query Languages, Non monotonic Non Deterministic Temporal Reasoning, Deductive and Object-oriented Databases - Formal Methods: Partial (symbolic) Evaluation in Functional Programming, Type Systems in Logic Languages and Databases, Abstract Interpretation in Logic Programs, in Object-Oriented Databases and in Specification of Concurrent Systems - Knowledge-based Systems: Applications of Logic Programming to Expert Systems, Expert Systems for Resource Allocation, Integration with Mathematical Problem Solvers. 1

2 The Computer Science Bibliography server counts 157 publications of F.G. on June 2013, and ranks her around the 1500 th position within the list of the most prolific computer science researchers internationally (DBLP has 18,000+ CS researchers with at least 50 publications.) Among F.G. s publications, 26 journal publications are reported in the ISI repository. Google Scholar reports 170 publications, which received around 2500 citations (h-index = 25). The figure represents the temporal distribution of citations, rapidly increasing in the last years. 58 papers co-authored by F.G. received at least 10 citations (source: MyCitations/Google Scholar, as of June 30 th, 2013) F.G. is the co-editor (with Dino Pedreschi) of the book Mobility, Data Mining and Privacy, Springer, 2008, which settles the ground of the novel interdisciplinary area of research of privacy-aware spatiotemporal data mining of mobility. The e-book version of this book has been downloaded more than 5500 downloads from Springerlink, one of the top 50% ebook bestsellers of Springer s. F.G. is regularly member of the program committee of the main international conferences on data mining and knowledge discovery: IEEE ICDM, ACM KDD, ECML-PKDD, SIAM-SDM, CIKM, ASONAM, WSDM. F.G. has been appointed in 2012 as the chair of the steering committee of the European Conf. on Machine Learning and Knowledge Discovery in Databases. She has been a co-chair of ECML/PKDD 2004, the European conference on Machine Learning and Knowledge Discovery in Databases, and the program chair of ICDM 2008, the IEEE Int. Conf. on Data Mining. Main current research lines Constraint-based Frequent Pattern Mining: algorithms for the discovery of local patterns from large complex datasets in presence of constraints. Main results: high expressiveness of data mining queries, constraint-based optimization, novel solutions of previously intractable mining problems. Mining mobility data: spatio-temporal data mining techniques for trajectories of moving objects reconstructed from telecommunication logs, especially from mobile phones and other location-aware devices. Main results: methods for trajectory pattern discovery and clustering of trajectory data. The M- Atlas System a platform for mobility data mining. Privacy-preserving data mining: privacy-aware data mining techniques for the discovery of patterns and models that do not disclose sensitive information of the source data. Main results: methods for privacyaware pattern discovery and clustering of trajectory data, anonymization of mobility data. Complex network analysis and data mining: data mining techniques for the discovery of patterns and models for network (graph) data. Main results: network analytics for multi-dimensional networks, discovery of eras in evolving social networks, analysis of dynamic mobile social networks. International Prizes, Awards, Academy Memberships The outcomes of project GeoPKDD, the mobility data mining system M_Atlas, was selected among the top 10 achievements ever within FET-Open projects, and invited for showcase at the European Parliament in April 2010 at the presence of commissioner and EC vice-president Mrs Neelie Kroose. The paper Trajectory Pattern Mining by F. Giannotti, M. Nanni, F. Pinelli, D. Pedreschi at. 13th ACM SIGKDD, Int. Conf. on Knowledge Discovery and Data Mining 2007, is the fourth most cited paper of ACM SIGKDD, which is the top- ranked venue for the category Data mining & analysis (source: Google Scholar / metrics) Letter of appreciation from Dr. Paul Hearn, Senior Scientific Officer, Future and Emerging Technologies (FET-open), European Commission where he acknowledged F. G. s successful ability 2

3 to lead large scale research projects and her talent in guidance of young researchers. Letter dated Main projects with leadership responsibility as the project coordinator exploration initiative on sensing the pulse of a town joint with Comune di Pisa and Agency of Mobility of Pisa aimed at using the analytical platform MAtlas and new sources of Mobility Data (GPS trajectores form 170K vehicles observed for 5 weeks in Tuscany and 5 Millions of CDRs observed for 3 weeks in provincial di Pisa, and 15K Fleecker traces in Provincia di Pisa ) for defining a report on mobility demand and o tourism fluxes of Pisa. 90K exploration initiative on sensing the pulse of a town joint and funded by Orange Research Labs. aimed at using the analytical platform MAtlas and new sources of Mobility Data (25 Millions of CDRs observed for 3 weeks in Paris,) for defining a profiles of Tourists in Paris. Funds 50K : Coordinator of GeoPKDD Geographic Privacy-aware Knowledge Discovery and Delivery STREP within FET-Open program (Future Emerging Technologies). Partners: KDD Lab, ISTI-CNR (coord.), EPFL Lausanne (CH), Univ. Piraeus (GR),Univ. Hasselt (B), Fraunhofer Institute (D), Univ. Politecnica di Madrid (E), WIND Tele-comunicazioni spa (I), Univ. Sabanci, Istanbul (TK). Funding: K euro (478 K euro for ISTI-CNR). Effort: 373 p/m BI-COOP: Business Intelligence & Data Warehouse for UniCoop Tirreno, Industrial R&D project. Goal: design and implementation of intelligent CRM services based on basket market analysis. Partners: KDD Lab, ISTI-CNR (coord.), UniCoop Tirreno. Funding 150 K euro DIVA: Tecniche di Data Mining per la Scoperta di Evasione IVA, Industrial R&D project. Goal: design and implementation of predictive techniques for fiscal fraud evasion in case of IVA tax. Partners: KDD Lab, ICAR-CNR, SOGEI, Agenzia delle Entrate. Funding 180 K euro P3D. Privacy Preserving Pattern Discovery, curiosity-driven project, funded by ISTI CNR. Goal: Privacy preserving pattern extraction methods. Partners: KDD Lab e HPC Lab, ISTI- CNR. Funding: 70 K Euro ECD - Technologies and Services for Enhanced Contents Delivery, research project of Fondo Speciale della Ricerca di Interesse Strategico of MIR, legge 449/97. National coordinator of Action2: Mine The Web - Web search. Goal: design of methods, technologies and services for intelligent access and delivery of web contents based on web mining techniques. Partners: ISTI, Univ. Pisa, Univ. della Calabria, Univ. Roma 3, Univ. Modena, Politecnico Milano, Univ. Padova. (http://www-ecd.isti.cnr.it). Budget: 460 K euro (ISTI-CNR: 350 K euro) WebDigger, Industrial Research, funded by Fondazione della Cassa di Risparmio di Pisa. Goal: Design of a Webmining infrastructure for developing web data analytical services. Partners: ISTI-CNR, Univ. Pisa.: Budget: 220 Mil. Italian Lire ESPRIT Project Dedugis: Deductive DataBases for Intelligent Geographic Information Systems. Goal: Design and development of a new Geographic Information System capable to support spatio-temporal reasoning and uncertainty. Partners: CNUCE-CNR, GMD, CWI, Univ. Wuerzburg, Univ. Pisa. Partners Industriali: Intecs, Debis, Sistema, Sistemi Territoriali. Funding: 400 Mil. Italian Lire MineFaST. Industrial funded by FST - Fabbrica Servizi Telematici Atlantis. Goal: Design of an intelligent web caching system based on data mining techniques. Partners: FST, CNUCE-CNR, Univ. Pisa. Funding: 42 Mil. Italian Lire DataSift: Market basket analysis in retail industry. Progetto della Rete ad Alta Tecnologia della Regione Toscana. Goal: to realize a system for basket marked analysis based on association rules. Partners: Univ. Pisa, CNUCE-CNR, Intecs, COOP Toscana-Lazio. Funding: 100 Mil. Italian Lire as the coordinator of a research unit DataSIM - FET- ICT VII Framework, Coord. Hasselt Univ. Belgium. Budget KDD Lab. 400 K Euro. 3

4 LIFT, FET- ICT VII Framework, Coord. Fhg, Saint Augustin, Bonn. Budget KDD Lab. 270 K Euro MOTUS MObility and Tourism IN Urban Scenarios. Industria MISE. (Coord. TELECOM Italia). Coordinator of subproject: Mobility Knowledge Infrastructure MODAP Mobility, Data Mining and Privacy. FP7 FET-Open Coordination Action n Coord.: Sabanci Univ., Istanbul. Member of the steering committee MOVE Knowledge Discovery from Moving Objects. COST Action della European Science Foundation n. IC0903. Role: Expert n. 10, Member Country Representative Board Anonimo Anonimato e Privacy nell Analisi di Dati di Mobilità. PRIN project of MIUR, Italian Ministry of Research and Higher Education. Coord: Univ. Pisa KDubiq Knowledge Discovery in Ubiquitous Environments. Coordination Action IST- 6FP FET-Open FP6. Coord.: Fraunhofer Institute (D) KDNet Knowledge Discovery - Network of Excellence. FP6 IST TelCal project of Regione Calabria on Data mining and data warehousing and 2007 Project of Ministry of Finance on Data Mining systems for fiscal fraud detection (Italian consortium,) Kine: Knowledge Bases Integration Programming Environment. Progetto coordinato n. 008 del CNR. Teaching activity F.G. has taught classes on programming languages, databases and data mining in universities in Italy and abroad, both at undergraduate and at graduate/doctoral level. Currently, she teaches Data Mining at the graduate program of Business Informatics, University of Pisa Data Mining and CRM at the master program MAINS (Service Management, Innovation and Engineering) of Scuola Superiore S. Anna, Pisa F.G. has taught courses for several PhD School programs, most recent ones are: KDubiq 2006 Summer School: 1st European Summer School on Knowledge Discovery for Ubiquitous Computing, Dortmund (D). Course on: Privacy-preserving Data Mining. September Dottorato di Ricerca (PhD) in Informatica, Univ. Pisa: Privacy-preserving Data Publishing and Mining, July MODAP: 1st Summer School on Mobility, Data Mining and Privacy, Rodhos August 27th- September Member of the Scientific Committee. 1st. Lessons: : GeoPKDD perspective on movement (Fosca Giannotti) and Mobility Data Mining- PhD school Faculty of Engineering, Introductory course on Social Network Analysis. Univ. of Pisa. June 2011 MODAP: 2nd Summer School on Privacy-Aware Social Data Mining and Privacy, Leysen July Member of the Scientific Committee. Scientific School Chair and School opening. ESSCaSS 2013, 12th Estonian Summer School on Computer and Systems Science, course: Mobility Data Analysis and Mining - Dates: August 18th-22nd 2013 (Sun-Thu)- Location: Voore Guesthouse, Estonia IDEA League Summer School 2013, Protecting your privacy in a networked World, course on Privacy in Big Data. Dates: July 15-17, Location: Delft, Netherlands F.G. has been the advisor of more than 50 master theses and 8 PhD theses. Currently, she is supervising 3 doctoral candidates in the PhD schools of Computer Science (Univ. Pisa) and IMT (Institutions, Markets and Technologies) Lucca. Among the PhD candidates and postdocs that have been supervised by F.G. in the past, two are now permanent researchers of KDD LAB (Mirco Nanni and Roberto Trasarti), one is now a researcher at Yahoo! Research in Barcelona, Spain (Francesco Bonchi), another is a researcher at CNR in Cosenza, Italy (Giuseppe Manco), another is a researcher at University of Cagliari (Maurizio Atzori), another is a researcher at the European Research Center in Ispra (Laura Spinsanti), two are researchers at IBM Research in Dublin (Fabio Pinelli, and Michele Berlingerio), one is postdoc at Harvard University, Kennedy School (Michele Coscia), one is post-doc at Univ. Pisa (Anna Monreale). 4

5 Titles of Phd Theses 1. Giuseppe Manco Foundations of a Logic-Based Framework for Intelligent Data Analysis. 2. Francesco Bonchi Frequent Pattern Mining: Languages and Optimizations. 3. Analisa Di Deo Object-oriented Constraint Databases: Application to Spatial and Temporal Domains. 4. Fabio Pinelli, Mobility Data Mining. 5. Michele Berlingerio Network and Graph Data: Mining the Temporal Dimension. 6. Roberto Trasarti Spatio-temporal Data Mining Query Languages. 7. Anna Monreale Privacy-By-Design in Data Mining. 8. Michele Coscia Multidimensional Network Analysis 9. Diego Pennacchioli, Data Mining and Economic Complexity, (ongoing) 10. Luca Pappalardo Human Mobility and Social network Analysis (ongoing) 11. Giulio Rossetti, Dynamic Temporal Networks (ongoing) 5

6 Leadership Profile Fosca Giannotti is an active researcher in computer science for 30 years. In the first part of her career, the focus of her activity was on formal methods in programming, especially logic programming; progressively, she shifted towards logic and formal methods in databases and, eventually, to data mining and knowledge discovery. Her path, essentially, is from computing to data to knowledge, with a progression tied up with logic and formal methods, and a natural taste for combining theory with empirical evidence through data analysis. The scientific production has been progressively increasing despite her shift of topics. Her 121 publications reported by the dblp.uni-trier.de Computer Science Bibliography rank her around the 1500 th position within the list of the most prolific computer science researchers internationally (note that there are 11,000+ researchers with at least 50 publications on DBLP.) The key steps of her scientific career are sketched below Research fellow at University of Pisa. In the beginning of her career, F.G. investigated partial evaluation and symbolic execution in functional programming (the subject of her master thesis supervised by Professor Franco Turini); the excellent theoretical results achieved yield two journal publications and foster her passion for research. She starts to work in the area of database languages thanks to a research fellowships within the national Progetto Finalizzato Informatica. She designed and implemented a type-checking framework foran object-oriented database language based on type polymorphism and type hierarchies: a pioneering work, published in 1985, which preceded of several years the widespread effort devoted in the nineties to this kind of type systems : research in industrial R&D labs. In 1985 F.G. gets a permanent position in one of the many R&D labs active in Pisa at the time (SIPE Optimation and Systems & Management). The industrial context exposes her to two experiences that deeply influence her future career. The Logiform project: she collaborates with N. Ciaramella and F. Turini to shaping two ideas that will reveal disrupting in the following years, but were not understood by the industrial management at the time: spreadsheets and On Line Analytical Processing. F.G. remembers when she and her collaborators succeeds to present the idea in a meeting with the CEO of S&M, a big nation-wide company at the time, trying to convince him of the usefulness of a tool, implemented in Prolog, capable to make a table alive and realize directly a budget, a resource allocation sheet or a timetable, possibly getting the data from an underlying database. The CEO was kind to the young researchers, but remained convinced that logic programming was too far from reality contemporarily, on the other side of the ocean a group of Boston-area researchers proposed VisiCalc, which became Excel a few years later. The PACT European ESPRIT1 project: she collaborates by bringing in the ideas of Logiform applied to the problems of resource allocation. This experience is relevant for the tight collaboration with the project coordinator, Ian Thomas, who exposes F.G. to the complexity of management of large research initiatives at European level : visiting scientist at MCC research center, Austin, Texas. The period spent in Texas as a NATO-CNR fellow was crucial to initiate the activity in databases: in collaboration with Dino Pedreschi and Carlo Zaniolo, formerly at MCC Austin and later at UCLA, a framework for logic database languages (deductive databases) was proposed, capable of dealing with the notion of non determinism and non monotonic reasoning. The subject of this study is specifically the theoretical and empirical characterization of the expressive power of the queries in the proposed framework. This line of research also brought to many publications and to the construction of a popular deductive database system, the LDL system. The final publication in this line is Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases, published in the J. of Computer and System Sciences in onwards: researcher at CNR. In 1990 she gets a permanent researcher position in the Italian National Research Council, CNR, and decides to resign as an industrial researcher. She continues at the CNUCE institute of CNR her research program started at MCC Austin, centered on deductive databases and abstract interpretation of programming languages. F.G. is promoted to Primo Ricercatore in 2001 and Director of Research in onwards: the construction of the KDD LAB. The most important shift in F.G. s scientific career takes place around 1995, when, together with colleagues Dino Pedreschi and Franco Turini of Univ. Pisa, 6

7 she starts the Pisa Knowledge Discovery and Delivery Laboratory KDD LAB a joint initiative of the two research institutions (CNR and Univ. Pisa) aimed at research in the emerging field of Data Mining and Knowledge Discovery in Databases. Since then, when KDD LAB was the earliest research lab in data mining in Italy and one of the earliest in Europe, it has grown as an established joint, interdisciplinary initiative, and gained a solid international reputation in the highly competitive area of data mining. In 2004, KDD LAB organized the European Conference on Machine Learning and Knowledge Discovery in Databases ECML-PKDD (F.G. is program co-chair), while in December 2008 it organizes the IEEE International Conference on Data Mining ICDM, the premiere international forum for data mining researchers (F.G. is program chair.) Today, KDD LAB can count on 7 researchers, 6 post-docs, 5 PhD students, 3 technicians, and a variable number of international visitors. Data mining, i.e., the process of automatically discovering useful information in large data repositories, reveals as a natural development of F.G. scientific career, where theoretical and empirical investigation are intertwined and interdisciplinary team work is the rule. Early results were application oriented, e.g., a logic-based data mining methodology for market basket analysis in the retail industry, and the development of a predictive model for identifying tax evaders starting from the fiscal data warehouse of the Italian Ministry of Finance the results of the fiscal fraud detection study were published at the ACM KDD Conf. in 1999 (acceptance rate 10%). For this project, F.G. coordinates a team of 5 young researchers: Francesco Bonchi, Giuseppe Manco, Elio Masciari, Luigi Pontieri and Massimo Coppola today, all five are recognized researchers, either in CNR or industrial research labs (F. Bonchi is a senior researcher at Yahoo! Research Barcelona.) Today, KDD LAB continues to collaborate with the Ministry of Finance to deploy data mining prediction models into their routine activity of inspection against tax evasion. On another line, KDD LAB has a long-standing collaboration with Coop, the largest Italian supermarket chain, in the analysis and mining of sale transaction data for advanced CRM applications. The most recognized scientific results arrived after 2000: first, the development of a constraint-based pattern discovery methodology supported complex data mining querying to datasets of unprecedented size and complexity: these results have been published on various journals, including high-impact divulgation oriented journals such as IEEE Intelligent Systems. Second, a brand new interdisciplinary direction was started, at the crossroads of mobility, data mining and privacy, i.e., privacy-aware spatiotemporal data mining from mobility data, such as the data gathered by wireless networks and locationaware devices. Third the research community recognized the scientific solidity of the lab assigning the scientific responsibility of two of the major conferences of the area: respectively ECML/PKDD held in 2004 and IEEE ICDM held in : the GeoPKDD projects. F.G. is the proposer and later the coordinator of the European FP6 FET project GeoPKDD Geographic Privacy-aware Knowledge Discovery and Delivery Centered on mobility, data mining and privacy, GeoPKDD involves more than 40 researchers from 8 different European countries, many of those young postdocs, and produces a great deal of high-impact new scientific results, becoming the reference for the rapidly blossoming area of the analysis of mobility data sensed by mobile phones and other localization devices. F.G. is also co-editor of the book Mobility, Data Mining and Privacy, published by Springer in This new area of research, started by F.G. and her colleagues, emerged as a hot topic, with plenty of activity in many new workshops on spatio-temporal data mining and privacy-preserving data mining. The early results by F.G. in trajectory pattern discovery, trajectory clustering and anonymity-preserving pattern discovering, presented at major data mining conferences in the last five years, contributed to forge the newly emergent area, and influenced the research of many young researchers within and outside the GeoPKDD community. The results obtained by GeoPKDD brought a wide recognition to KDD LAB as a leading research hub on mobility data mining and data privacy technologies, becoming a reference not only for the international research community but also for leading industrial and public operators, such as telecom providers (Orange, Wind, Telecom Italia), the Italian and European Data Protection Commissions, the mobility agencies of regional and municipal administrations : responsible for the area Data Mining of the CNR ICT Department. F.G. becomes the national coordinator of the area Data Mining and Semantic Web of the ICT department of CNR, with responsibility of harmonizing the activities of 12 labs of 9 different CNR institutes involving 90 permanent researchers and 120 early-stage researchers. The goal is to create a network of CNR researchers on the topic of knowledge and data engineering and promote their results and potential 7

8 applications towards industry and the public administration. Her duties involve dissemination actions, proposal preparation, definition of strategic lines of research at national level, harmonization with European policies, hearings with funding agencies, etc : visiting scientist at the Center for Complex Network Research. From August 2009 through July 2010, F.G. is on leave as a sabbatical scholar at Barabási Lab, i.e. the CCNR lab at Northeastern University in Boston, MA, led by Albert-László Barabási. This experience is extremely important in bringing forward the vision of convergence of data mining and (social) network analysis into a broader data-driven science, capable of uncovering complex social and economic phenomena on the basis of models and patterns extracted from the big data made available by ICT-mediated human activities. A fruitful collaboration between KDD LAB and CCNR has been initiated, which is already bringing joint results. A first joint project shows how the combined methods of data mining and network science can provide deeper insight into the interplay between human mobility and the social network, and how the movement behavior of people impacts the dynamics of social ties : the FuturICT Flagship experience. From March 2011 through October 2012, F.G. has been involved into setting up the proposal for the FuturICT FET Flagship (www.futurict.eu): a research program for 10-years of basic research aimed at shaping a new ICT paradigm at the crossroad of ICT, Complex Systems and the Social Sciences. The initiative has involved more than 300 researchers all over Europe, and CNR was one of the 5 major proponents. The CNR team was lead by Dott.ssa Rosaria Conte of ISTC-CNR and F.G has been appointed by the Director of ICT Department of CNR, prof. Pietrabissa to coordinate the ICT component of the proposal. FuturICT was not selected for funding, but indeed the experience has been valuable both from the point of the community that has been created and the research roadmap that has been shaped. F.G. participated to the writing of following white papers published into The European Physical Journal Special Topics Vol. 214: the first two represent the pillars of privacyaware social data mining while the last focuses on the application of such paradigm for a new City Science. A planetary nervous system for social mining and collective awareness. F. Giannotti, D. Pedreschi, A. Pentland, P. Lukowicz, D. Kossmann, J. Crowley and D. Helbing. Eur. Phys. J. Special Topics 214, (2012) (open access) FuturICT The road towards ethical ICT, J. van den Hoven, D. Helbing, D. Pedreschi, J. Domingo- Ferrer, F. Giannotti and M. Christen. Eur. Phys. J. Special Topics 214, (2012) (open access) Smart cities of the future, M. Batty, K.W. Axhausen, F. Giannotti, A. Pozdnoukhov, A. Bazzani, M. Wachowicz, G. Ouzounis and Y. Portugali. Eur. Phys. J. Special Topics 214, (2012) (open access) Most dowloaded article of EPJ-ST, with 996 downloads in the last three months. In a nutshell, F.G. believes that the most relevant achievement of her career has been her early intuition, around 1992, of data mining as a high potential area of disruptive impact and the her determination in constructing a research group around this vision, capable of gaining international visibility. The KDD LAB is a tangible result of this vision, being today a reference for the data mining research community, one of the largest and most competitive today, a front-runner in the new wave of big data analytics, capable of attracting international visitors, post-docs, and students. 10-Year-Track-Record The Computer Science Bibliography server counts 157 publications of F.G. on June 2013, and ranks her around the 1500 th position within the list of the most prolific computer science researchers internationally (DBLP has 18,000+ CS researchers with at least 50 publications.) Among F.G. s publications, 26 journal publications are reported in the ISI repository. Google Scholar reports 170 publications, which received around

9 citations (h-index = 25). The figure represents the temporal distribution of citations, rapidly increasing in the last years. 58 papers co-authored by F.G. received at least 10 citations (source: MyCitations/Google Scholar, as of June 30 th, 2013) Publications in scientific journals and peer-to-peer international conferences 1. Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi: Evolving networks: Eras and turning points. Intell. Data Anal. 17(1): (2013) 2. L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti. Understanding the patterns of car travel. The European Physical Journal Special Topics 215 (1), (2013) 3. Davy Janssens, Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Salvatore Rinzivillo: Data Science for Simulating the Era of Electric Vehicles. KI Kuenstliche Intelligenz 26(3): (2012) 4. Jeroen van den Hoven, Dirk Helbing, Dino Pedreschi, Josep Domingo- Ferrer, Fosca Giannotti, Markus Christen: FuturICT - The Road towards Ethical ICT. Eur. Phys. J. Special Topics, 214 (2012) 5. Fosca Giannotti, Laks V.S. Lakshmanan, Anna Monreale, Dino Pedreschi, Hui (Wendy) Wang. Privacy- preserving Mining of Association Rules from Outsourced Transaction Databases in Clouds. In IEEE Systems Journal 2012 ISSN: , DOI: /JSYST F. Giannotti, D. Pedreschi, S. Pentland, P. Lukowicz, D. Kossmann, James Crowley, Dirk Helbing: FuturICT - A Planetary Nervous System, Eur. Phys. J. Special Topics, 214 (2012) 7. Michael Batty, Kay Axhausen, Giannotti Fosca, Alexei Pozdnoukhov, Armando Bazzani, Monica Wachowicz, Georgios Ouzonis and Yuval Portugali- FuturICT - Smart Cities of the Future. Eur. Phys. J. Special Topics, 214 (2012) 8. M. Berlingerio, M. Coscia, F. Giannotti, A. Monreale, D. Pedreschi. Multidimensional Networks: Foundations of Structural Analysis. World Wide Web Journal, DOI /s Unveiling the complexity of human mobility by querying and mining massive trajectory data. Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli, Chiara Renso, Salvatore Rinzivillo, Roberto Trasarti: VLDB J. 20(5): (2011) 10. Roberto Trasarti, Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chiara Renso: A Query Language for Mobility Data Mining. International Journal of Data Warehousing and Mining IJDWM 7(1): (2011) 11. Coscia, M., Giannotti, F. and Pedreschi, D., A Classification for Community Discovery Methods in Complex Networks. Statistical Analysis and Data Mining 4 (5), (2011). 12. Berlingerio, M., Coscia, M., Giannotti, F., Monreale, A. and Pedreschi, D., The Pursuit of Hubbiness: analysis of hubs in large multidimensional networks. Journal of Computational Science 2 (3), (2011). 13. Osman Abul, Francesco Bonchi, Fosca Giannotti: Hiding Sequential and Spatiotemporal Patterns. IEEE Trans. Knowl. Data Eng. 22(12): (2010) 14. Anna Monreale, Gennady L. Andrienko, Natalia V. Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel: Movement Data Anonymity through Generalization. Transactions on Data Privacy 3(2): (2010) 15. F. Bonchi, F. Giannotti, C. Lucchese, S. Orlando, R. Perego, R. Trasarti: A constraint- based querying system for exploratory pattern discovery. INFORMATION SYSTEMS. 34(1): 3-27 (2009) 16. A. Raffaetà, T. Ceccarelli, D. Centeno, F. Giannotti, A. Massolo, C. Parent, C. Renso, S. Spaccapietra, F. Turini: An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology. GEOINFORMATICA 12(1): (2008) 17. M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi. Anonymity preserving pattern discovery. VLDB J. 17(4): (2008) 18. S. Rinzivillo, D. Pedreschi, M. Nanni, F. Giannotti, N. Andrienko, G. Amdrienko. Visually driven analysis of movement data by progressive clustering. INFORMATION VISUALIZATION 7: (2008) 19. F. Bonchi, F. Giannotti, A. Mazzanti, D. Pedreschi. Efficient breadth-first mining of frequent pattern with monotone constraints. KNOWLEDGE AND INFORMATION SYSTEMS (2)

10 20. M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi. Anonymity and data mining. COMPUTER SYSTEMS SCIENCE AND ENGINEERING: 20(5) (2005) 21. F. Bonchi, F. Giannotti, A. Mazzanti, D. Pedreschi. Exante: A Preprocessing Method for Frequent Pattern Mining IEEE INTELLIGENT SYSTEMS: 20(3) (2005) 22. F. Giannotti, G. Manco, F. Turini: Specifying Mining Algorithms with Iterative User-Defined Aggregates. IEEE TRANS. ON KNOWLEDGE AND DATA ENGINEERING 16(10): (2004) 23. F. Bonchi, F. Giannotti, C. Gozzi, G. Manco, M. Nanni, D. Pedreschi, C. Renso, S. Ruggieri: Web log data warehousing and mining for intelligent web caching. DATA & KNOWLEDGE ENGINEERING 39(2): (2001) 24. F. Giannotti, G. Manco, M. Nanni, D. Pedreschi. Nondeterministic, Nonmonotonic Logic Databases IEEE TRANS. ON KNOWLEDGE AND DATA ENGINEERING: 13(5) (2001) 25. F. Giannotti, D. Pedreschi, C. Zaniolo. Semantics and Power of Nondeterministic Constructs JOURNAL OF COMPUTER AND SYSTEMS SCIENCES (1) Top recent publications in peer-reviewed conference proceedings 1. Coscia, M., Rinzivillo, S., Giannotti, F. and Pedreschi, D., Optimal Spatial Resolution for the Analysis of Human Mobility. In ASONAM, Michele Coscia, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi: DEMON: a local-first discovery method for overlapping communities. KDD 2012: Ruilin Liu, Wendy Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo: AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems. ECML/PKDD (2) 2012: Michele Coscia, Fosca Giannotti, Dino Pedreschi: Towards Democratic Group Detection in Complex Networks. SBP 2012: S. Hajian, A. Monreale, D. Pedreschi, J. Domingo-Ferrer and F. Giannotti. Injecting Discrimination and Privacy Awareness into Pattern Discovery. IEEE ICDM International Workshop on Discrimination and Privacy-Aware Data Mining (DPADM). 6. Bachi, G., Coscia, M., Monreale, A. and Giannotti F., Classifying Trust/Distrust Relationships in Online Social Networks. In SocialCom, Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti: Individual Mobility Profiles: Methods and Application on Vehicle Sharing. SEBD 2012: Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang: Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases. SEBD 2012: Mining mobility user profiles for car pooling. Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti: KDD 2011: Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert- László Barabási: Human mobility, social ties, and link prediction. KDD 2011: Fosca Giannotti: Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data. Mobile Data Management (1) 2011: Rebecca Ong, Fabio Pinelli, Roberto Trasarti, Mirco Nanni, Chiara Renso, Salvatore Rinzivillo, Fosca Giannotti: Traffic Jams Detection Using Flock Mining. ECML/PKDD (3) 2011: Fosca Giannotti: Mobility, Data Mining and Privacy: Mining Human Movement Patterns from Trajectory Data. EGC 2011: Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi: Foundations of Multidimensional Network Analysis. ASONAM 2011: Michele Berlingerio, Michele Coscia, Fosca Giannotti: Finding and Characterizing Communities in Multidimensional Networks. ASONAM 2011: Michele Berlingerio, Michele Coscia, Fosca Giannotti: Finding redundant and complementary communities in multidimensional networks. CIKM 2011: Giulio Rossetti, Michele Berlingerio, Fosca Giannotti: Scalable Link Prediction on Multidimensional Networks. ICDM Workshops 2011: Fosca Giannotti: Mobility, Data Mining and Privacy: Mining Human Movement Patterns from Trajectory Data. EGC 2011:

11 19. Roberto Trasarti, Salvatore Rinzivillo, Fabio Pinelli, Mirco Nanni, Anna Monreale, Chiara Renso, Dino Pedreschi, Fosca Giannotti: Exploring Real Mobility Data with M- Atlas. ECML/PKDD, Machine Learning and Knowledge Discovery in Databases, European Conference 2010: Mirco Nanni, Roberto Trasarti, Chiara Renso, Fosca Giannotti, Dino Pedreschi: Advanced knowledge discovery on movement data with the GeoPKDD system. EDBT, 13th Int. Conf. on Extending Database Technology 2010: Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi: As Time Goes by: Discovering Eras in Evolving Social Networks. PAKDD, 14th Pacific-Asia Conf. on Knowledge Discovery and Data Mining 2010: Michele Coscia, Fosca Giannotti, Ruggero G. Pensa: Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography. ASONAM, Int. Conf. on Advances in Social Network Analysis and Mining 2009: Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli: Trajectory pattern analysis for urban traffic. GIS-IWCTS, Workshop on Computational Transportation Science 2009: Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti: Temporal mining for interactive workflow data analysis. 15th ACM SIGKDD, Int. Conf. on Knowledge Discovery and Data Mining 2009: Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti: WhereNext: a location predictor on trajectory pattern mining. 15th ACM SIGKDD, Int. Conf. on Knowledge Discovery and Data Mining 2009: Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis: The DAEDALUS framework: progressive querying and mining of movement data. GIS, 16th ACM SIGSPATIAL Int. Symp. on Advances in Geographic Information Systems 2008: Andrea Zanda, Christine Körner, Fosca Giannotti, Daniel Schulz, Michael May: Clustering of German municipalities based on mobility characteristics: an overview of results. GIS, 16th ACM SIGSPATIAL Int. Symp. on Advances in Geographic Information Systems 2008: F. Giannotti, M. Nanni, F. Pinelli, D. Pedreschi: Trajectory pattern mining. 13th ACM SIGKDD, Int. Conf. on Knowledge Discovery and Data Mining 2007: M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi: Towards Low-Perturbation Anonymity Preserving Pattern Discovery. 21st ACM SAC F. Giannotti, M. Nanni, D. Pedreschi: Efficient Mining of Temporally Annotated Sequences. 6th SIAM DM, SIAM Int. Conf. on Data Mining M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi: Blocking Anonymity Threats Raised by Frequent Itemset Mining. 5th IEEE ICDM, Int. Conf. on Data Mining M. Atzori, F. Bonchi, F. Giannotti, D. Pedreschi: k-anonymous Patterns. 9th PKDD V. Bacarella, F. Giannotti, M. Nanni, D. Pedreschi: Discovery ads web hosts in traffic data analysis. 9th ACM SIGMOD Workshop on Research in Data Mining F. Bonchi, F. Giannotti, A. Mazzanti, D. Pedreschi: ExAMiner: optimized level-wise frequent pattern mining. 3th IEEE ICDM, Int. Conf. on Data Mining Editor of monographs and conference proceedings - (F. Giannotti, D. Pedreschi, Eds.) Mobility, Data Mining and Privacy. Springer, ISBN , December 2007, Citations Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy. IEEE Computer Society Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy. Lecture Notes in Computer Science 3202 Springer 2004, ISBN Invited lectures, keynotes and tutorials (most recent) - Invited talk: BIG DATA & Social Data Mining the scientific vision, Undicesima Conferenza Nazionale Statistica, Rome, 20 February, Invited talk: BIG DATA & Social Data Mining the scientific vision, ISTAT (Italian Statistical Agency), Rome, September 2012, 11

12 - Invited talk: ICDM Panel, Panel: Big - - The Value of Data, speaker on the issue: Transparency&Privacy Dicember 2012 Bruxelles - Invited talk: Mining the patterns and profiles of human mobility, MIT Trasportation Department, Cambridge, MA, USA January 18, 2012, Northeastern University CCNR,: Barabasi Lab., Boston, MA, USA January 19, 2012, TRB Annual Meeting, Washingthon, USA January 22, Invited talk: Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data. Mobile Data Management, 6-9 June, 2011, Luleå, Sweden - Invited talk: Mobility, data mining and privacy: mining human mobility patterns from trajectory data. Symp. Extraction et gestion des connaissances (EGC'2011), Brest, France, January Invited talk: Mobility, data mining and privacy: mining human mobility patterns from trajectory data. XI Brazilial Symposium on Geoinformatics (GEOINFO 2010), Campos do Jordao, SP, Brasil, December Invited talk: Mobility, data mining and privacy: mining human mobility patterns from trajectory data. Google, Boston, MA, February Invited talk: Mobility, data mining and privacy: mining human mobility patterns from trajectory data. Media Lab, Transportation Dept., & Database Lab, MIT, Boston, MA, March Tutorial: Geographic privacy-aware knowledge discovery and delivery. Tutorial at EDBT 2009, 12th International Conference on Extending Database Technology, Saint Petersburg, Russia, March 24-26, Invited talk: Mobility, Data Mining and Privacy. SIAM Conference on Mathematics for Industry: Challenges and Frontiers 2009 (MI09). October 10 th, San Francisco, CA. - Invited talk: GeoPKDD: Research Challenges and Results. Dagstuhl Seminar n. 8471: Geopgraphic Privacy-aware Knowledge Discovery and Delivery. Schloss Dagstuhl, Germany. Data: Tutorial: Mobility, Data Mining and Privacy. Tutorial at ECML PKDD 2008, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 2008, Antwerp, Belgium - Invited talk: Mobility, Data Mining and Privacy. International Seminar Celebrating the 20th Anniversary of EPFL's Database Laboratory (LBD), Lausanne, September Invited talk: Mobility, Data Mining and Privacy. IEEE Data Mining Forum 2008, Hong Kong Polytechnic University and IEEE Technical Committee on Intelligence Informatics (TCII), May Tutorial: Privacy and Anonymity in Movement Aware Data Analysis, Tutorial at PAKDD 2007, Pacific Asian Conference on Knowledge Discovery in Databases, Nanjing, China, May Invited talk: Mobility, Privacy and Geography: a Knowledge Discovry Perspective. Workshop on Knowledge Discovery for Sustainable Mobility. The Waag Society, Amsterdam, NL. Date: 9 November Invited talk: Business Process Intelligence and Business Intelligence: differences and convergences. Workshop on Business Process Intelligence (BPI). Vienna. 4 September

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