FlowSpy: : exploring Activity-Execution Patterns from Business Processes



Similar documents
Supporting the BPM lifecycle with FileNet

Business Process Improvement Framework and Representational Support

Dimensions of Business Process Intelligence

An Evaluation Framework for Business Process Management Products

DISCOVERY AND ANALYSIS OF ACTIVITY PATTERN CO- OCCURRENCES IN BUSINESS PROCESS MODELS

Supporting the BPM life-cycle with FileNet

A Data Warehousing Environment to Monitor Metrics in Software Development Processes

An Ontology-based Framework for Enriching Event-log Data

FileNet s BPM life-cycle support

Business Process Modeling

Mercy Health System. St. Louis, MO. Process Mining of Clinical Workflows for Quality and Process Improvement

Ontology-Based Filtering Mechanisms for Web Usage Patterns Retrieval

Toward using Business Process Intelligence to Support Incident Management Metrics Selection and Service Improvement

An Outlook on Semantic Business Process Mining and Monitoring

Towards Process Evaluation in Non-automated Process Execution Environments

Aalborg Universitet. The Predictive Aspect of Business Process Intelligence Pérez, Moisés Lima; Møller, Charles

Decision Mining in Business Processes

Measuring Performance in the Retail Industry

Analysis of Service Level Agreements using Process Mining techniques

Business Development and Predictive Analytics

Dept. of IT in Vel Tech Dr. RR & Dr. SR Technical University, INDIA. Dept. of Computer Science, Rashtriya Sanskrit Vidyapeetha, INDIA

Process Mining in Big Data Scenario

Semantic Analysis of Business Process Executions

Investigating Clinical Care Pathways Correlated with Outcomes

Chapter XXI Business Process Intelligence

Towards a Software Framework for Automatic Business Process Redesign Marwa M.Essam 1, Selma Limam Mansar 2 1

A Software Framework for Risk-Aware Business Process Management

Business Process Management: A personal view

Profiling Event Logs to Configure Risk Indicators for Process Delays

A Framework for Recommending Resource Allocation based on Process Mining

A Semantic Approach to the Discovery of Workflow Activity Patterns in Event Logs. Diogo R. Ferreira. Lucinéia H. Thom

Towards the Next Generation Intelligent BPM In the Era of Big Data

Process Mining. ^J Springer. Discovery, Conformance and Enhancement of Business Processes. Wil M.R van der Aalst Q UNIVERS1TAT.

Business Process Analytics Using a Big Data Approach

Syllabus BT 416 Business Process Management

Process Mining for Electronic Data Interchange

Data Warehouse Model for Audit Trail Analysis in Workflows

AHP Based Comparison of open-source BPM Systems

Feature. Applications of Business Process Analytics and Mining for Internal Control. World

Learning Business Rules for Adaptive Process Models

Web Usage mining framework for Data Cleaning and IP address Identification

CHAPTER 1 INTRODUCTION

Subject Description Form

BPM optimization Part 2: Workflow map optimization by using multiobjective algorithms

Process Mining and Monitoring Processes and Services: Workshop Report

Managing and Tracing the Traversal of Process Clouds with Templates, Agendas and Artifacts

Towards an Intelligent Workflow Designer based on the Reuse of Workflow Patterns

Using Business Intelligence to Achieve Sustainable Performance

Business Intelligence and the Methods of Information Mining

Dotted Chart and Control-Flow Analysis for a Loan Application Process

SQL Server 2012 End-to-End Business Intelligence Workshop

PREPROCESSING OF WEB LOGS

Prototype of assignment intelligent adaptive of service providers inside of ESB with data mining

Workflow Patterns for Business Process Modeling

PROCESOS DE EXPLOTACIÓN DE INFORMACIÓN BASADOS EN SISTEMAS INTELIGENTES INFORMATION MINING PROCESSES BASED ON INTELLIGENT SYSTEMS

An Evaluation of Conceptual Business Process Modelling Languages

Introduction to Data Mining and Machine Learning Techniques. Iza Moise, Evangelos Pournaras, Dirk Helbing

Integrating Business Processes into GIS-based Simulations

Determining Preferences from Semantic Metadata in OLAP Reporting Tool

Monitoring of Business Processes with Complex Event Processing

Introduction to Data Mining

A Framework for Identifying and Managing Information Quality Metrics of Corporate Performance Management System

A Meta-model of Business Interaction for Assisting Intelligent Workflow Systems

ProM 6 Tutorial. H.M.W. (Eric) Verbeek mailto:h.m.w.verbeek@tue.nl R. P. Jagadeesh Chandra Bose mailto:j.c.b.rantham.prabhakara@tue.

Ontology-Based Discovery of Workflow Activity Patterns

The Open University s repository of research publications and other research outputs

Implementing Heuristic Miner for Different Types of Event Logs

Process Mining Online Assessment Data

Semantic Analysis of Flow Patterns in Business Process Modeling

Online Compliance Monitoring of Service Landscapes

Identifying Collaboration Patterns in Software Development Social Networks

CENTERPOINT ENERGY TEXARKANA SERVICE AREA GAS SUPPLY RATE (GSR) JULY Small Commercial Service (SCS-1) GSR

A Flexible Approach for Assessing Service Compatibility at Element Level

Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach

EXTENDING BUSINESS PROCESS MODELING TOOLS WITH WORKFLOW PATTERN REUSE

Performance Measurement Framework with Indicator Life-Cycle Support

Handling Big(ger) Logs: Connecting ProM 6 to Apache Hadoop

Using Data Mining for Mobile Communication Clustering and Characterization

Business Process Quality Metrics: Log-based Complexity of Workflow Patterns

Towards Cross-Organizational Process Mining in Collections of Process Models and their Executions

A Survey on Web Mining From Web Server Log

Business Process Mining: From Theory to Practice

Model Discovery from Motor Claim Process Using Process Mining Technique

BUSINESS INTELLIGENCE

Improving Business Process Quality through Exception Understanding, Prediction, and Prevention

COMPUTER AUTOMATION OF BUSINESS PROCESSES T. Stoilov, K. Stoilova

CORPORATE CALENDAR OF EVENTS. RANDON S.A. IMPLEMENTOS E PARTICIPAÇÕES Av. Abramo Randon, 770 Bairro Interlagos Caxias do Sul - RS

IDENTIFYING PATTERNS OF WORKFLOW DESIGN RELYING ON ORGANIZATIONAL STRUCTURE ASPECTS

Workflow Automation and Management Services in Web 2.0: An Object-Based Approach to Distributed Workflow Enactment

PLG: a Framework for the Generation of Business Process Models and their Execution Logs

Process mining challenges in hospital information systems

Formal Methods for Preserving Privacy for Big Data Extraction Software

Database Marketing, Business Intelligence and Knowledge Discovery

DATA MINING - SELECTED TOPICS

Business Intelligence in E-Learning

TEACHING AN APPLIED BUSINESS INTELLIGENCE COURSE

Enhance Preprocessing Technique Distinct User Identification using Web Log Usage data

II. OLAP(ONLINE ANALYTICAL PROCESSING)

Embedding Conformance Checking in a Process Intelligence System in Hospital Environments. 1 University Hospital of Jena

A Research Article on Data Mining in Addition to Process Mining: Similarities and Dissimilarities

Transcription:

FlowSpy: : exploring Activity-Execution Patterns from Business Processes Cristian Tristão 1, Duncan D. Ruiz 2, Karin Becker 3 ctristaobr@gmail.com, duncan@pucrs.br, kbeckerbr@gmail.com 1 Departamento de Informática, PUC-Rio Rio de Janeiro RJ Brazil 2 Faculdade de Informática, PUCRS Porto Alegre RS Brazil 3 Quality Knowledge Porto Alegre RS Brazil

Summary Introduction; FlowSpy; Related Work; Conclusion and Future Work; References. 2

Introduction Business Process Management (BPM) control, management and automation WfMS measurement, analysis and monitoring BPA Business Process Analysis (BPA) Data summarization [CAS05] [GOL04] [GRI04] Monitoring through KPIs [CAS05] [GOL04] [GRI04] Rules obtained by mining [AAL05] [AAL03] [GRI04] Process Mining (PM) Discovery Comparison Prediction 3

Introduction Web Utilization Miner (WUM) [SPI00] 4

Introduction Case Study Exploratory analysis of execution flows and Data Quantification - [A, O, I] Check the most frequent paths, paths occurring more or less than expected, frequency of exceptions above than the expected, identify cycles, etc. 5

FlowSpy a1(1,_) a2(1,_) a4(1,_) 90% 10% a3(1,_) 100% 100% a4(1,_) (III) Views Abstraction Manager Log pre-processing Pattern Visualization Abstraction Mining Integrator Metrics Manager (II) System Analysis Prepared data Analysis Profiles Data Extractor Aggregate Tree Analytical Model ETL Execution Data Process Model Data Sources (I) Data Sources FlowSpy 6

FlowSpy Process Analysis Profiles 7

FlowSpy Log pre-processing generating a shorter aggregate tree, containing only the activities/sub-flows of interest, as represented by a given analysis profile. forms exclusion abstraction 8

FlowSpy Log preprocessing 9

FlowSpy Pattern Visualization Abstraction simplifying an analysis pattern to improve its interpretation. Increase or decrease the detail level of the flows represented by the pattern. Forms aggregation exclusion. 10

FlowSpy Pattern Visualization Abstraction 11

FlowSpy Integrator 12

FlowSpy Integrator 13

FlowSpy Integrator 14

Related Work Business Process Intelligence [GRI04] Process Mining Engine - classification algorithms Process Region ibom [CAS05] Abstract Process Monitor Delta Analysis e Conformance Testing [AAL05] Process Comparison Business Alignment 15

Conclusion and Future Work FlowSpy provides: a detailed analysis of business behavior; quantification of different execution flows; abstraction mechanisms that deal with process complexity and different process views. FlowSpy x WUM 16

Conclusion and Future Work how to combine statistical analysis and execution flow of activities in a synergic approach? development of a data storage structure (aggregate tree) by means of performance metrics. Execution model to predict results. 17

References [AAL05] Aalst, W.M.P. van der. Business Alignment: Using Process Mining as a Tool for Delta Analysis and Conformance Testing. Requirements Engineering Journal. Springer London. Vol. 10, Number 3, Nov. 2005, p. 198 211. [AAL03] Aalst, W.M.P. van der, Hofstede, A. H.M. ter and Weske, M. Business Process Management: A survey. In BPM 2003. LNCS 2678, pp. 1-12, 2003. [CAS05] Castellanos, M.; Casati, F.; Ming-Chien Shan; Dayal, U. ibom: A Platform for Intelligent Business Operation Management. Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on 05-08 April 2005, page(s): 1084-1095. [GOL04] Golfarelli, M., Rizzi, S. and Cella, L. Beyond data warehousing: what's next in business intelligence?. Proceedings of the 7th ACM international workshop on Data warehousing and OLAP. Washington, DC, USA. Nov. 2004, p. 1-6. [GRI04] Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M. and Shan, M. C. Business Process Intelligence. Computers in Industry, Vol. 53, Issue 3, Apr 2004, p. 321-343. [SPI00] Spiliopoulou, M. Web Usage Mining for Site Evaluation. Making a site better fit its users. Communications of the ACM, vol.43, nº 8, Aug. 2000, pp. 127-134. [TRI06] Tristão, C.; Becker, K. Aplicação de Técnicas de Mineração do Uso da Web para Análise de Processos de Negócio: um Estudo de Caso. In: ERBD 2006, Anais do Congresso. Passo Fundo, abril de 2006. [WES04] Weske, M., van der Aalst, W., and Verbeek, H. Advances in Business Process Management. Data & Knowledge Engineering. Vol. 50, No. 1, Jan 2004, p. 1-8. [WMC99] Workflow Management Coalition. The Workflow Management Coalition Specification - Terminology & Glossary. Document Number WFMC-TC-1011, Feb 1999, 65 p. 18

FlowSpy: : exploring Activity-Execution Patterns from Business Processes Cristian Tristão 1, Duncan D. Ruiz 2, Karin Becker 3 ctristaobr@gmail.com, duncan@pucrs.br, kbeckerbr@gmail.com 1 Departamento de Informática, PUC-Rio Rio de Janeiro RJ Brazil 2 Faculdade de Informática, PUCRS Porto Alegre RS Brazil 3 Quality Knowledge Porto Alegre RS Brazil