Features Selection and k-nn Parameter Optimization Based on Genetic Algorithm for Benchmarked Medical Datasets Classification
|
|
|
- Cory Edwards
- 2 years ago
- Views:
Transcription
1 Features Selection and k-nn Parameter Optimization Based on Genetic Algorithm for Benchmarked Medical Datasets Classification by Rizki Tri Prasetio Submission date: 24-Oct :35AM (UTC+1100) Submission ID: File name: JOIN_Template_2020_1.docx (141.17K) Word count: 4209 Character count: 24124
2
3
4
5
6
7
8
9
10
11 Features Selection and k-nn Parameter Optimization Based on Genetic Algorithm for Benchmarked Medical Datasets Classification ORIGINALITY REPORT 22% SIMILARITY INDEX 12% INTERNET SOURCES 19% PUBLICATIONS 4% STUDENT PAPERS PRIMARY SOURCES 1 Rizki Tri Prasetio, Dwiza Riana. "A comparison of classification methods in vertebral column 6% disorder with the application of genetic algorithm and bagging", th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), % ejournal.bsi.ac.id 3 2% join.if.uinsgd.ac.id 4 1% 5 1% 6 1%
12 7 C. V. Subbulakshmi, S. N. Deepa. "Medical Dataset Classification: A Machine Learning 1% Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier", The Scientific World Journal, Zheng, Hong, Sharatchandra Pankanti, and Runsheng Wang. "", Object Detection 1% Classification and Tracking Technologies, Communications in Computer and Information Science, Submitted to Higher Education Commission 10 Pakistan Student Paper Chung-Chian Hsu, Wei-Hao Huang. "Integrated dimensionality reduction technique for mixedtype data involving categorical values", Applied Soft Computing, 2016 Khan, Kashif Ullah, and Usman Qamar.
13 14 "Improved Single-Label Text Categorization by Instance Filtration", 2015 Ninth International Conference on Complex Intelligent and Software Intensive Systems, Palanichamy, Jaganathan, and Kuppuchamy Ramasamy. "A threshold fuzzy entropy based feature selection for medical database classification", Computers in Biology and Medicine, ars.ac.id 16 sportsmedicine-open.springeropen.com K. Ramachandra Murthy, Ashish Ghosh. "Noisyfree Length Discriminant Analysis with cosine hyperbolic framework for dimensionality reduction", Expert Systems with Applications, 2017 aircconline.com Ahmad Hanif Asyhar, Yuniar Farida, Nurissaidah Ulinnuha, Dian Candra Rini Novitasari, Ahmad Zaenal Arifin. "Sentiment
14 Analysis of Regional Head Candidate s Electability from the National Mass Media Perspective Using the Text Mining Algorithm", Advances in Science, Technology and Engineering Systems Journal, Pei-Chann Chang, Jyun-Jie Lin, Chen-Hao Liu. "An attribute weight assignment and particle swarm optimization algorithm for medical database classifications", Computer Methods and Programs in Biomedicine, 2012 doaj.org 22 elibrary.almaata.ac.id "China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume II", Springer Science and Business Media LLC, Pratik Aher, Purva Raut. "Incremental radius approach for classification", 2017 International Conference on Advances in Computing, Communication and Control (ICAC3), 2017 Irwin O. Kennedy, Patricia Scanlon, Francis J. 26 Mullany, Milind M. Buddhikot, Keith E. Nolan,
15 Thomas W. Rondeau. "Radio Transmitter Fingerprinting: A Steady State Frequency Domain Approach", 2008 IEEE 68th Vehicular Technology Conference, L. Silva. "Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms", IEEE Transactions on Pattern Analysis and Machine Intelligence, 5/2005 snmrecwebext.eng.fau.edu Qiao Yu, Junyan Qian, Shujuan Jiang, Zhenhua Wu, Gongjie Zhang. "An Empirical Study on the Effectiveness of Feature Selection for Cross- Project Defect Prediction", IEEE Access, Elshazly, Hanaa Ismail, Abeer Mohamed Elkorany, and Aboul Ella Hassanien. "Ensemble-based classifiers for prostate cancer diagnosis", th International Computer Engineering Conference (ICENCO), 2013.
16 32 Kartick Subramanian, Sundaram Suresh, Narasimhan Sundararajan. "A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems", IEEE Transactions on Fuzzy Systems, 2013 Exclude quotes On Exclude matches Off Exclude bibliography On
ENSEMBLE DECISION TREE CLASSIFIER FOR BREAST CANCER DATA
ENSEMBLE DECISION TREE CLASSIFIER FOR BREAST CANCER DATA D.Lavanya 1 and Dr.K.Usha Rani 2 1 Research Scholar, Department of Computer Science, Sree Padmavathi Mahila Visvavidyalayam, Tirupati, Andhra Pradesh,
A NEW DECISION TREE METHOD FOR DATA MINING IN MEDICINE
A NEW DECISION TREE METHOD FOR DATA MINING IN MEDICINE Kasra Madadipouya 1 1 Department of Computing and Science, Asia Pacific University of Technology & Innovation ABSTRACT Today, enormous amount of data
Domain Classification of Technical Terms Using the Web
Systems and Computers in Japan, Vol. 38, No. 14, 2007 Translated from Denshi Joho Tsushin Gakkai Ronbunshi, Vol. J89-D, No. 11, November 2006, pp. 2470 2482 Domain Classification of Technical Terms Using
The multilayer sentiment analysis model based on Random forest Wei Liu1, Jie Zhang2
2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016) The multilayer sentiment analysis model based on Random forest Wei Liu1, Jie Zhang2 1 School of
One Continuous Auditing Practice in China: Data-oriented Online Auditing(DOOA)
One Continuous Auditing Practice in China: Data-oriented Online Auditing(DOOA) Wei Chen, Jin-cheng Zhang, and Yu-quan Jiang Nanjing Audit University, Nanjing, Jiangsu 210029, China chenweich@nau.edu.cn
Evaluation of Feature Selection Methods for Predictive Modeling Using Neural Networks in Credits Scoring
714 Evaluation of Feature election Methods for Predictive Modeling Using Neural Networks in Credits coring Raghavendra B. K. Dr. M.G.R. Educational and Research Institute, Chennai-95 Email: raghavendra_bk@rediffmail.com
131-1. Adding New Level in KDD to Make the Web Usage Mining More Efficient. Abstract. 1. Introduction [1]. 1/10
![131-1. Adding New Level in KDD to Make the Web Usage Mining More Efficient. Abstract. 1. Introduction [1]. 1/10](/thumbs/25/4963058.jpg "131-1. Adding New Level in KDD to Make the Web Usage Mining More Efficient. Abstract. 1. Introduction [1]. 1/10")
1/10 131-1 Adding New Level in KDD to Make the Web Usage Mining More Efficient Mohammad Ala a AL_Hamami PHD Student, Lecturer m_ah_1@yahoocom Soukaena Hassan Hashem PHD Student, Lecturer soukaena_hassan@yahoocom
Survey of Web Testing Techniques
Survey of Web Testing Techniques Sonal Anand M.Tech (Computer Science) USIT, GGSIPU New Delhi, India Anju Saha Assistant Professor USIT, GGSIPU New Delhi, India ABSTRACT This paper presents a survey of
A Survey on classification & feature selection technique based ensemble models in health care domain
A Survey on classification & feature selection technique based ensemble models in health care domain GarimaSahu M.Tech (CSE) Raipur Institute of Technology,(R.I.T.) Raipur, Chattishgarh, India garima.sahu03@gmail.com
Publication List. Chen Zehua Department of Statistics & Applied Probability National University of Singapore
Publication List Chen Zehua Department of Statistics & Applied Probability National University of Singapore Publications Journal Papers 1. Y. He and Z. Chen (2014). A sequential procedure for feature selection
Introducing diversity among the models of multi-label classification ensemble
Introducing diversity among the models of multi-label classification ensemble Lena Chekina, Lior Rokach and Bracha Shapira Ben-Gurion University of the Negev Dept. of Information Systems Engineering and
SURVIVABILITY ANALYSIS OF PEDIATRIC LEUKAEMIC PATIENTS USING NEURAL NETWORK APPROACH
330 SURVIVABILITY ANALYSIS OF PEDIATRIC LEUKAEMIC PATIENTS USING NEURAL NETWORK APPROACH T. M. D.Saumya 1, T. Rupasinghe 2 and P. Abeysinghe 3 1 Department of Industrial Management, University of Kelaniya,
Research on Sentiment Classification of Chinese Micro Blog Based on
Research on Sentiment Classification of Chinese Micro Blog Based on Machine Learning School of Economics and Management, Shenyang Ligong University, Shenyang, 110159, China E-mail: 8e8@163.com Abstract
OPTIMUM LEARNING RATE FOR CLASSIFICATION PROBLEM
OPTIMUM LEARNING RATE FOR CLASSIFICATION PROBLEM WITH MLP IN DATA MINING Lalitha Saroja Thota 1 and Suresh Babu Changalasetty 2 1 Department of Computer Science, King Khalid University, Abha, KSA 2 Department
Continuous Fastest Path Planning in Road Networks by Mining Real-Time Traffic Event Information
Continuous Fastest Path Planning in Road Networks by Mining Real-Time Traffic Event Information Eric Hsueh-Chan Lu Chi-Wei Huang Vincent S. Tseng Institute of Computer Science and Information Engineering
Top Top 10 Algorithms in Data Mining
ICDM 06 Panel on Top Top 10 Algorithms in Data Mining 1. The 3-step identification process 2. The 18 identified candidates 3. Algorithm presentations 4. Top 10 algorithms: summary 5. Open discussions ICDM
Equity forecast: Predicting long term stock price movement using machine learning
Equity forecast: Predicting long term stock price movement using machine learning Nikola Milosevic School of Computer Science, University of Manchester, UK Nikola.milosevic@manchester.ac.uk Abstract Long
Healthcare Data Mining: Prediction Inpatient Length of Stay
3rd International IEEE Conference Intelligent Systems, September 2006 Healthcare Data Mining: Prediction Inpatient Length of Peng Liu, Lei Lei, Junjie Yin, Wei Zhang, Wu Naijun, Elia El-Darzi 1 Abstract
Method of Fault Detection in Cloud Computing Systems
, pp.205-212 http://dx.doi.org/10.14257/ijgdc.2014.7.3.21 Method of Fault Detection in Cloud Computing Systems Ying Jiang, Jie Huang, Jiaman Ding and Yingli Liu Yunnan Key Lab of Computer Technology Application,
ANALYSIS OF FEATURE SELECTION WITH CLASSFICATION: BREAST CANCER DATASETS
ANALYSIS OF FEATURE SELECTION WITH CLASSFICATION: BREAST CANCER DATASETS Abstract D.Lavanya * Department of Computer Science, Sri Padmavathi Mahila University Tirupati, Andhra Pradesh, 517501, India lav_dlr@yahoo.com
Statistical Feature Selection Techniques for Arabic Text Categorization
Statistical Feature Selection Techniques for Arabic Text Categorization Rehab M. Duwairi Department of Computer Information Systems Jordan University of Science and Technology Irbid 22110 Jordan Tel. +962-2-7201000
Feature Selection for Classification in Medical Data Mining
Feature Selection for Classification in Medical Data Mining Prof.K.Rajeswari 1, Dr.V.Vaithiyanathan 2 and Shailaja V.Pede 3 1 Associate Professor, PCCOE, Pune University, & Ph.D Research Scholar, SASTRA
E-commerce Transaction Anomaly Classification
E-commerce Transaction Anomaly Classification Minyong Lee minyong@stanford.edu Seunghee Ham sham12@stanford.edu Qiyi Jiang qjiang@stanford.edu I. INTRODUCTION Due to the increasing popularity of e-commerce
How To Create A Text Classification System For Spam Filtering
Term Discrimination Based Robust Text Classification with Application to Email Spam Filtering PhD Thesis Khurum Nazir Junejo 2004-03-0018 Advisor: Dr. Asim Karim Department of Computer Science Syed Babar
An Innovative Way for Mining Clinical and Administrative Healthcare Data
An Innovative Way for Mining Clinical and Administrative Healthcare Data Siu Hung Keith Lo and Maiga Chang School of Computing and Information Systems, Athabasca University, Canada keithshlo@yahoo.com,
Top 10 Algorithms in Data Mining
Top 10 Algorithms in Data Mining Xindong Wu ( 吴 信 东 ) Department of Computer Science University of Vermont, USA; 合 肥 工 业 大 学 计 算 机 与 信 息 学 院 1 Top 10 Algorithms in Data Mining by the IEEE ICDM Conference
Semi-Supervised Learning in Inferring Mobile Device Locations
Semi-Supervised Learning in Inferring Mobile Device Locations Rong Duan, Olivia Hong, Guangqin Ma rduan,ohong,gma @research.att.com AT&T Labs 200 S Laurel Ave Middletown, NJ 07748 Abstract With the development
Effective Product Ranking Method based on Opinion Mining
Effective Product Ranking Method based on Opinion Mining Madhavi Kulkarni Student Department of Computer Engineering G. H. Raisoni College of Engineering & Management Pune, India Mayuri Lingayat Asst.
A Novel Feature Selection Method Based on an Integrated Data Envelopment Analysis and Entropy Mode
A Novel Feature Selection Method Based on an Integrated Data Envelopment Analysis and Entropy Mode Seyed Mojtaba Hosseini Bamakan, Peyman Gholami RESEARCH CENTRE OF FICTITIOUS ECONOMY & DATA SCIENCE UNIVERSITY
KNOWLEDGE-BASED IN MEDICAL DECISION SUPPORT SYSTEM BASED ON SUBJECTIVE INTELLIGENCE
JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 22/2013, ISSN 1642-6037 medical diagnosis, ontology, subjective intelligence, reasoning, fuzzy rules Hamido FUJITA 1 KNOWLEDGE-BASED IN MEDICAL DECISION
SU Qiang Professor ---------------------------------------------------------------------------------------------------------------------------------
SU Qiang Professor PhD Advisor Department: Department of Management Science and Engineering Email: suq@tongji.edu.cn Office Phone: +86-21-65981443 ---------------------------------------------------------------------------------------------------------------------------------
Customer Relationship Management using Adaptive Resonance Theory
Customer Relationship Management using Adaptive Resonance Theory Manjari Anand M.Tech.Scholar Zubair Khan Associate Professor Ravi S. Shukla Associate Professor ABSTRACT CRM is a kind of implemented model
INVESTIGATIONS INTO EFFECTIVENESS OF GAUSSIAN AND NEAREST MEAN CLASSIFIERS FOR SPAM DETECTION
INVESTIGATIONS INTO EFFECTIVENESS OF AND CLASSIFIERS FOR SPAM DETECTION Upasna Attri C.S.E. Department, DAV Institute of Engineering and Technology, Jalandhar (India) upasnaa.8@gmail.com Harpreet Kaur
TOWARD BIG DATA ANALYSIS WORKSHOP
TOWARD BIG DATA ANALYSIS WORKSHOP 邁 向 巨 量 資 料 分 析 研 討 會 摘 要 集 2015.06.05-06 巨 量 資 料 之 矩 陣 視 覺 化 陳 君 厚 中 央 研 究 院 統 計 科 學 研 究 所 摘 要 視 覺 化 (Visualization) 與 探 索 式 資 料 分 析 (Exploratory Data Analysis, EDA)
Discovering Sequential Rental Patterns by Fleet Tracking
Discovering Sequential Rental Patterns by Fleet Tracking Xinxin Jiang (B), Xueping Peng, and Guodong Long Quantum Computation and Intelligent Systems, University of Technology Sydney, Ultimo, Australia
Computational intelligence in intrusion detection systems
Computational intelligence in intrusion detection systems --- An introduction to an introduction Rick Chang @ TEIL Reference The use of computational intelligence in intrusion detection systems : A review
REVIEW OF ENSEMBLE CLASSIFICATION
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IJCSMC, Vol. 2, Issue.
Acknowledgments. Data Mining with Regression. Data Mining Context. Overview. Colleagues
Data Mining with Regression Teaching an old dog some new tricks Acknowledgments Colleagues Dean Foster in Statistics Lyle Ungar in Computer Science Bob Stine Department of Statistics The School of the
Open Access Research on Application of Neural Network in Computer Network Security Evaluation. Shujuan Jin *
Send Orders for Reprints to reprints@benthamscience.ae 766 The Open Electrical & Electronic Engineering Journal, 2014, 8, 766-771 Open Access Research on Application of Neural Network in Computer Network
Jiexun Li, Ph.D. College of Information Science and Technology, Drexel University, Philadelphia, PA
EDUCATION Jiexun Li, Ph.D. Assistant Professor College of Information Science and Technology Drexel University, Philadelphia, PA 19104 Phone: (215) 895-1459 Fax: (215) 895-2494 Email: jiexun.li@ischool.drexel.edu
A Survey on Product Aspect Ranking
A Survey on Product Aspect Ranking Charushila Patil 1, Prof. P. M. Chawan 2, Priyamvada Chauhan 3, Sonali Wankhede 4 M. Tech Student, Department of Computer Engineering and IT, VJTI College, Mumbai, Maharashtra,
Optimal PID Controller Design for AVR System
Tamkang Journal of Science and Engineering, Vol. 2, No. 3, pp. 259 270 (2009) 259 Optimal PID Controller Design for AVR System Ching-Chang Wong*, Shih-An Li and Hou-Yi Wang Department of Electrical Engineering,
PREDICTING STOCK PRICES USING DATA MINING TECHNIQUES
The International Arab Conference on Information Technology (ACIT 2013) PREDICTING STOCK PRICES USING DATA MINING TECHNIQUES 1 QASEM A. AL-RADAIDEH, 2 ADEL ABU ASSAF 3 EMAN ALNAGI 1 Department of Computer
4. GPCRs PREDICTION USING GREY INCIDENCE DEGREE MEASURE AND PRINCIPAL COMPONENT ANALYIS
4. GPCRs PREDICTION USING GREY INCIDENCE DEGREE MEASURE AND PRINCIPAL COMPONENT ANALYIS The GPCRs sequences are made up of amino acid polypeptide chains. We can also call them sub units. The number and
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization
A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization Ángela Blanco Universidad Pontificia de Salamanca ablancogo@upsa.es Spain Manuel Martín-Merino Universidad
MS1b Statistical Data Mining
MS1b Statistical Data Mining Yee Whye Teh Department of Statistics Oxford http://www.stats.ox.ac.uk/~teh/datamining.html Outline Administrivia and Introduction Course Structure Syllabus Introduction to
International Journal of Computer Science Trends and Technology (IJCST) Volume 2 Issue 3, May-Jun 2014
RESEARCH ARTICLE OPEN ACCESS A Survey of Data Mining: Concepts with Applications and its Future Scope Dr. Zubair Khan 1, Ashish Kumar 2, Sunny Kumar 3 M.Tech Research Scholar 2. Department of Computer
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald and Iadh Ounis School
Immune Support Vector Machine Approach for Credit Card Fraud Detection System. Isha Rajak 1, Dr. K. James Mathai 2
Immune Support Vector Machine Approach for Credit Card Fraud Detection System. Isha Rajak 1, Dr. K. James Mathai 2 1Department of Computer Engineering & Application, NITTTR, Shyamla Hills, Bhopal M.P.,
Text Mining Approach for Big Data Analysis Using Clustering and Classification Methodologies
Text Mining Approach for Big Data Analysis Using Clustering and Classification Methodologies Somesh S Chavadi 1, Dr. Asha T 2 1 PG Student, 2 Professor, Department of Computer Science and Engineering,
A SECURE DECISION SUPPORT ESTIMATION USING GAUSSIAN BAYES CLASSIFICATION IN HEALTH CARE SERVICES
A SECURE DECISION SUPPORT ESTIMATION USING GAUSSIAN BAYES CLASSIFICATION IN HEALTH CARE SERVICES K.M.Ruba Malini #1 and R.Lakshmi *2 # P.G.Scholar, Computer Science and Engineering, K. L. N College Of
Research Article www.ijptonline.com EFFICIENT TECHNIQUES TO DEAL WITH BIG DATA CLASSIFICATION PROBLEMS G.Somasekhar 1 *, Dr. K.
ISSN: 0975-766X CODEN: IJPTFI Available Online through Research Article www.ijptonline.com EFFICIENT TECHNIQUES TO DEAL WITH BIG DATA CLASSIFICATION PROBLEMS G.Somasekhar 1 *, Dr. K.Karthikeyan 2 1 Research
Car insurance risk assessment with data mining for an Iranian leading insurance company
International Journal of Business and Economics Research 2014; 3(3): 128-134 Published online May 30, 2014 (http://www.sciencepublishinggroup.com/j/ijber) doi: 10.11648/j.ijber.20140303.12 Car insurance
The 2014-2016 Board of Directors
The 2014-2016 Board of Directors President Yang, Honggang, Ph.D. 杨 红 钢 Dean, School of Humanities and Social Sciences Nova Southeastern University yangh@nova.edu Vice President Chen, Jie, Ph.D. 陈 捷 Dean,
AN APPLICATION OF INTERVAL-VALUED INTUITIONISTIC FUZZY SETS FOR MEDICAL DIAGNOSIS OF HEADACHE. Received January 2010; revised May 2010
International Journal of Innovative Computing, Information and Control ICIC International c 2011 ISSN 1349-4198 Volume 7, Number 5(B), May 2011 pp. 2755 2762 AN APPLICATION OF INTERVAL-VALUED INTUITIONISTIC
Semi-Supervised and Unsupervised Machine Learning. Novel Strategies
Brochure More information from http://www.researchandmarkets.com/reports/2179190/ Semi-Supervised and Unsupervised Machine Learning. Novel Strategies Description: This book provides a detailed and up to
Manjeet Kaur Bhullar, Kiranbir Kaur Department of CSE, GNDU, Amritsar, Punjab, India
Volume 5, Issue 6, June 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Multiple Pheromone
Conclusions and Future Directions
Chapter 9 This chapter summarizes the thesis with discussion of (a) the findings and the contributions to the state-of-the-art in the disciplines covered by this work, and (b) future work, those directions
Metaheuristics in Big Data: An Approach to Railway Engineering
Metaheuristics in Big Data: An Approach to Railway Engineering Silvia Galván Núñez 1,2, and Prof. Nii Attoh-Okine 1,3 1 Department of Civil and Environmental Engineering University of Delaware, Newark,
Data Mining - Evaluation of Classifiers
Data Mining - Evaluation of Classifiers Lecturer: JERZY STEFANOWSKI Institute of Computing Sciences Poznan University of Technology Poznan, Poland Lecture 4 SE Master Course 2008/2009 revised for 2010
A Layered Signcryption Model for Secure Cloud System Communication
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 6, June 2015, pg.1086
Biomedical Big Data and Precision Medicine
Biomedical Big Data and Precision Medicine Jie Yang Department of Mathematics, Statistics, and Computer Science University of Illinois at Chicago October 8, 2015 1 Explosion of Biomedical Data 2 Types
Meta-Ensemble Classification Modeling for Concept Drift
, pp. 231-244 http://dx.doi.org/10.14257/ijmue.2015.10.3.22 Meta-Ensemble Classification Modeling for Concept Drift Joung Woo Ryu 1 and Jin-Hee Song 2 1 Technical Research Center, Safetia Ltd. Co., South
SMTP: Stedelijk Museum Text Mining Project
SMTP: Stedelijk Museum Text Mining Project Jeroen Smeets Maastricht University smeetsjeroen@hotmail.com Prof. Dr. Ir. Johannes C. Scholtes Maastricht University j.scholtes@maastrichtuniversity.nl Dr. Claartje
Neural Networks for Sentiment Detection in Financial Text
Neural Networks for Sentiment Detection in Financial Text Caslav Bozic* and Detlef Seese* With a rise of algorithmic trading volume in recent years, the need for automatic analysis of financial news emerged.
DATA MINING USING INTEGRATION OF CLUSTERING AND DECISION TREE
DATA MINING USING INTEGRATION OF CLUSTERING AND DECISION TREE 1 K.Murugan, 2 P.Varalakshmi, 3 R.Nandha Kumar, 4 S.Boobalan 1 Teaching Fellow, Department of Computer Technology, Anna University 2 Assistant
COMPARING NEURAL NETWORK ALGORITHM PERFORMANCE USING SPSS AND NEUROSOLUTIONS
COMPARING NEURAL NETWORK ALGORITHM PERFORMANCE USING SPSS AND NEUROSOLUTIONS AMJAD HARB and RASHID JAYOUSI Faculty of Computer Science, Al-Quds University, Jerusalem, Palestine Abstract This study exploits
Database Modeling and Visualization Simulation technology Based on Java3D Hongxia Liu
International Conference on Information Sciences, Machinery, Materials and Energy (ICISMME 05) Database Modeling and Visualization Simulation technology Based on Java3D Hongxia Liu Department of Electronic
INTEROPERABLE FEATURES CLASSIFICATION TECHNIQUE FOR CLOUD BASED APPLICATION USING FUZZY SYSTEMS
INTEROPERABLE FEATURES CLASSIFICATION TECHNIQUE FOR CLOUD BASED APPLICATION USING FUZZY SYSTEMS * C. Saravanakumar 1 and C. Arun 2 1 Department of Computer Science and Engineering, Sathyabama University,
International Workshop on Big Data Analytics for Advanced Databases (BIGDATA, 2016)
International Workshop on Big Data Analytics for Advanced Databases (BIGDATA, 2016) Call for Papers AIM and SCOPE There is an exponential growth in digital data with unprecedented new platforms derived
Classification On The Clouds Using MapReduce
Classification On The Clouds Using MapReduce Simão Martins Instituto Superior Técnico Lisbon, Portugal simao.martins@tecnico.ulisboa.pt Cláudia Antunes Instituto Superior Técnico Lisbon, Portugal claudia.antunes@tecnico.ulisboa.pt
HYBRID PROBABILITY BASED ENSEMBLES FOR BANKRUPTCY PREDICTION
HYBRID PROBABILITY BASED ENSEMBLES FOR BANKRUPTCY PREDICTION Chihli Hung 1, Jing Hong Chen 2, Stefan Wermter 3, 1,2 Department of Management Information Systems, Chung Yuan Christian University, Taiwan
A Survey on Outlier Detection Techniques for Credit Card Fraud Detection
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. VI (Mar-Apr. 2014), PP 44-48 A Survey on Outlier Detection Techniques for Credit Card Fraud
Diagnosis of Students Online Learning Portfolios
Diagnosis of Students Online Learning Portfolios Chien-Ming Chen 1, Chao-Yi Li 2, Te-Yi Chan 3, Bin-Shyan Jong 4, and Tsong-Wuu Lin 5 Abstract - Online learning is different from the instruction provided
Application of Data Mining Techniques to Model Breast Cancer Data
Application of Data Mining Techniques to Model Breast Cancer Data S. Syed Shajahaan 1, S. Shanthi 2, V. ManoChitra 3 1 Department of Information Technology, Rathinam Technical Campus, Anna University,
Prediction of Stock Performance Using Analytical Techniques
136 JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, VOL. 5, NO. 2, MAY 2013 Prediction of Stock Performance Using Analytical Techniques Carol Hargreaves Institute of Systems Science National University
IDENTIFIC ATION OF SOFTWARE EROSION USING LOGISTIC REGRESSION
http:// IDENTIFIC ATION OF SOFTWARE EROSION USING LOGISTIC REGRESSION Harinder Kaur 1, Raveen Bajwa 2 1 PG Student., CSE., Baba Banda Singh Bahadur Engg. College, Fatehgarh Sahib, (India) 2 Asstt. Prof.,
Real Time Data Analytics Loom to Make Proactive Tread for Pyrexia
Real Time Data Analytics Loom to Make Proactive Tread for Pyrexia V.Sathya Preiya 1, M.Sangeetha 2, S.T.Santhanalakshmi 3 Associate Professor, Dept. of Computer Science and Engineering, Panimalar Engineering
First Semester Computer Science Students Academic Performances Analysis by Using Data Mining Classification Algorithms
First Semester Computer Science Students Academic Performances Analysis by Using Data Mining Classification Algorithms Azwa Abdul Aziz, Nor Hafieza IsmailandFadhilah Ahmad Faculty Informatics & Computing
A New Method for Traffic Forecasting Based on the Data Mining Technology with Artificial Intelligent Algorithms
Research Journal of Applied Sciences, Engineering and Technology 5(12): 3417-3422, 213 ISSN: 24-7459; e-issn: 24-7467 Maxwell Scientific Organization, 213 Submitted: October 17, 212 Accepted: November
Predicting Information Popularity Degree in Microblogging Diffusion Networks
Vol.9, No.3 (2014), pp.21-30 http://dx.doi.org/10.14257/ijmue.2014.9.3.03 Predicting Information Popularity Degree in Microblogging Diffusion Networks Wang Jiang, Wang Li * and Wu Weili College of Computer
Towards applying Data Mining Techniques for Talent Mangement
2009 International Conference on Computer Engineering and Applications IPCSIT vol.2 (2011) (2011) IACSIT Press, Singapore Towards applying Data Mining Techniques for Talent Mangement Hamidah Jantan 1,
Blog Post Extraction Using Title Finding
Blog Post Extraction Using Title Finding Linhai Song 1, 2, Xueqi Cheng 1, Yan Guo 1, Bo Wu 1, 2, Yu Wang 1, 2 1 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 2 Graduate School
CHURN PREDICTION IN MOBILE TELECOM SYSTEM USING DATA MINING TECHNIQUES
International Journal of Scientific and Research Publications, Volume 4, Issue 4, April 2014 1 CHURN PREDICTION IN MOBILE TELECOM SYSTEM USING DATA MINING TECHNIQUES DR. M.BALASUBRAMANIAN *, M.SELVARANI
Recommending News Articles using Cosine Similarity Function Rajendra LVN 1, Qing Wang 2 and John Dilip Raj 1
Paper 1886-2014 Recommending News s using Cosine Similarity Function Rajendra LVN 1, Qing Wang 2 and John Dilip Raj 1 1 GE Capital Retail Finance, 2 Warwick Business School ABSTRACT Predicting news articles
Welcome. Data Mining: Updates in Technologies. Xindong Wu. Colorado School of Mines Golden, Colorado 80401, USA
Welcome Xindong Wu Data Mining: Updates in Technologies Dept of Math and Computer Science Colorado School of Mines Golden, Colorado 80401, USA Email: xwu@ mines.edu Home Page: http://kais.mines.edu/~xwu/
BIOINF 585 Fall 2015 Machine Learning for Systems Biology & Clinical Informatics http://www.ccmb.med.umich.edu/node/1376
Course Director: Dr. Kayvan Najarian (DCM&B, kayvan@umich.edu) Lectures: Labs: Mondays and Wednesdays 9:00 AM -10:30 AM Rm. 2065 Palmer Commons Bldg. Wednesdays 10:30 AM 11:30 AM (alternate weeks) Rm.
Grid Density Clustering Algorithm
Grid Density Clustering Algorithm Amandeep Kaur Mann 1, Navneet Kaur 2, Scholar, M.Tech (CSE), RIMT, Mandi Gobindgarh, Punjab, India 1 Assistant Professor (CSE), RIMT, Mandi Gobindgarh, Punjab, India 2
Artificial Neural Network Approach for Classification of Heart Disease Dataset
Artificial Neural Network Approach for Classification of Heart Disease Dataset Manjusha B. Wadhonkar 1, Prof. P.A. Tijare 2 and Prof. S.N.Sawalkar 3 1 M.E Computer Engineering (Second Year)., Computer
Class Imbalance Learning in Software Defect Prediction
Class Imbalance Learning in Software Defect Prediction Dr. Shuo Wang s.wang@cs.bham.ac.uk University of Birmingham Research keywords: ensemble learning, class imbalance learning, online learning Shuo Wang
CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW
CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW 1 XINQIN GAO, 2 MINGSHUN YANG, 3 YONG LIU, 4 XIAOLI HOU School of Mechanical and Precision Instrument Engineering, Xi'an University
VOL. 3, NO. 7, July 2013 ISSN 2225-7217 ARPN Journal of Science and Technology 2011-2012. All rights reserved.
An Effective Web Usage Analysis using Fuzzy Clustering 1 P.Nithya, 2 P.Sumathi 1 Doctoral student in Computer Science, Manonmanaiam Sundaranar University, Tirunelveli 2 Assistant Professor, PG & Research
Cloud Storage-based Intelligent Document Archiving for the Management of Big Data
Cloud Storage-based Intelligent Document Archiving for the Management of Big Data Keedong Yoo Dept. of Management Information Systems Dankook University Cheonan, Republic of Korea Abstract : The cloud
International Journal of Software and Web Sciences (IJSWS) www.iasir.net
International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research) ISSN (Print): 2279-0063 ISSN (Online): 2279-0071 International
Journal of Chemical and Pharmaceutical Research, 2015, 7(3):1388-1392. Research Article. E-commerce recommendation system on cloud computing
Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2015, 7(3):1388-1392 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 E-commerce recommendation system on cloud computing
Feature Subset Selection in E-mail Spam Detection
Feature Subset Selection in E-mail Spam Detection Amir Rajabi Behjat, Universiti Technology MARA, Malaysia IT Security for the Next Generation Asia Pacific & MEA Cup, Hong Kong 14-16 March, 2012 Feature
Microblog Sentiment Analysis with Emoticon Space Model
Microblog Sentiment Analysis with Emoticon Space Model Fei Jiang, Yiqun Liu, Huanbo Luan, Min Zhang, and Shaoping Ma State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory
Future Trend Prediction of Indian IT Stock Market using Association Rule Mining of Transaction data
Volume 39 No10, February 2012 Future Trend Prediction of Indian IT Stock Market using Association Rule Mining of Transaction data Rajesh V Argiddi Assit Prof Department Of Computer Science and Engineering,
Knowledge Based System for Detection and Prevention of DDoS Attacks using Fuzzy logic
Knowledge Based System for Detection and Prevention of DDoS Attacks using Fuzzy logic Amit Khajuria 1, Roshan Srivastava 2 1 M. Tech Scholar, Computer Science Engineering, Lovely Professional University,
Mobile Phone APP Software Browsing Behavior using Clustering Analysis
Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, January 7 9, 2014 Mobile Phone APP Software Browsing Behavior using Clustering Analysis