Improving Digital Forensics Through Data Mining Chrysoula Tsochataridou, Avi Arampatzis, Vasilios Katos Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi, Greece

Source URL: www.aviarampatzis.com

• Data mining
• Cluster analysis
• Multivariate statistics
• Weka
• Text mining
• K-means clustering
• Email
• Enron
• Computer cluster
• Statistics
• Computing
• Data analysis

litsift: Automated Text Categorization in Bibliographic Search Lukas C. Faulstich Peter F. Stadler

Source URL: www.bioinf.uni-leipzig.de

• Statistical classification
• Knowledge
• Natural language processing
• Data mining
• Faulstich
• Relational database management systems
• PubMed
• Bioinformatics
• Document classification
• Statistics
• Science
• Formal sciences

Microsoft PowerPoint - EdCon panel - training for employable graduates - Plachy 26 October 2014.pptx [Read-Only]

Source URL: edcon2014.ischool.syr.edu

• Data analysis
• Formal sciences
• Natural language processing
• Statistical natural language processing
• Business analytics
• ADAPA
• Analytics
• Text mining
• Data mining
• Science
• Statistics
• Business intelligence

Text and Data Mining Shaping IP for ICT ICTNet Conference June 2012

Source URL: community.oecd.org

12 September 2012 Joint announcement from ALPSP, PDR and STM Text and data-mining clause agreed by ALPSP, P-D-R and STM Pharmaceutical companies will be better able to pursue research using text and datamining, thanks to

Source URL: www.stm-assoc.org

U-Compare, OSCAR & the number 42 BalaKrishna Kolluru National Centre for Text Mining University of Manchester

Source URL: www-pmr.ch.cam.ac.uk

CONSEIL SUPÉRIEUR DE LA PROPRIÉTÉ LITTERAIRE ET ARTISTIQUE Mission sur l’exploration de données (« Text and Data mining ») Président de la mission :

Source URL: www.savoirscom1.info

TEXT MINING AND IRT FOR PSYCHIATRIC AND PSYCHOLOGICAL ASSESSMENT Qiwei He Graduation Committee

Source URL: www.rcec.nl

Utilizing Text Mining Results: The PastaWeb System G. Demetriou and R. Gaizauskas Department of Computer Science University of Sheffield Western Bank Sheffield S10 2TU UK

Source URL: www.ccs.neu.edu

WWW 2009 MADRID! Track: Data Mining / Session: Learning A Class-Feature-Centroid Classifier for Text Categorization Hu Guan

Source URL: www2009.org