Utilizing Data Mining and Machine Learning Techniques for Effective Network Construction and Data Analysis
Reda Alhajj, University of Calgary

Presentation slides


ABSTRACT

Recent developments in the technology from handheld devices to sensors to surveillance to microarrays to the wide availability of the Web (e.g., social media, social networking, internet of things, click stream, etc.) allow for electronically capturing, collecting and maintaining large volumes of structured and unstructured data leading to huge data repositories. Example data sources include logs and transactions related to information retrieval via Web access, to e-commerce such as click streams and retail purchases, on-going events such as weather and stock market status, social interactions such as social media and social networking, monitoring systems such as traffic control, fraud detection, and homeland security, and so on. Such data is recognized as a valuable resource for knowledge discovery leading to effective decision making. Yet this can happen only if these large volumes of data can be processed and analyzed effectively. This talk will discuss effective and informative knowledge discovery from data by describing a comprehensive framework which integrates efficient and robust network modeling, data mining and machine learning techniques to address variety of application domains including database design, web log analysis and website structuring, disease biomarker detection, social network analysis, etc.


BIO


Reda Alhajj is Professor in the Department of Computer Science at the University of Calgary, Alberta, Canada. He published over 400 papers in reputable journals and fully refereed international conferences. He served on the program committee of several international conferences including IEEE ICDE, IEEE ICDM, IEEE IAT, SIAM DM, etc. He also served as guest editor of several special issues and the Program Chair of IEEE IRI 2008-2011, CaSoN 2009-2011, ASONAM 2009-2011, and OSINT-WM 2009-2011; he is steering chair for ASONAM, FOSINT-SI and HI-BI-BI. He is editor in chief of SNAM and NetMAHIB journals, the LNSN series, the ESNAM encyclopedia. He is on the editorial board of several journals and associate editor of IEEE SMC- Part C. Dr. Alhajj's has a research group hosting large number of PhD and MSc students working primarily in the areas of computational and systems biology, data mining, multiagent systems, schema integration and re-engineering, social networks and XML. He received Outstanding Achievements in Supervision Award from the Faculty of Graduate Studies at the University of Calgary.