Seminar: Mining Data in Motion: from Cyber Security to Survival Analysis

SpeakerProf. Mark Last
AffiliationBen-Gurion University of the Negev
DateMonday, 17 Nov 2014
Time13:00 - 14:00
LocationRoberts G08 (Sir David Davies lecture theatre)
Event seriesComputer Science Seminars

Data stream mining algorithms are aimed at extracting knowledge from volatile streaming data. These algorithms face four principal challenges of big data mining: volume, variety, velocity, and veracity. In the first part of my talk, I will present a series of incremental algorithms for mining dynamic data streams. These algorithms are shown empirically to produce more accurate classification models than the batch algorithms in the presence of a concept drift while being computationally cheaper than the competing incremental methods. The second part of my talk will be focused on mining event data streams, which represent a sequence of events related to specific entities in the course of their lifetime. At each point in time, some of the monitored entities may be "censored", or more specifically, "right-censored", since they have not experienced the event of interest yet and we do not know when the event will occur in the future. In this research, we have modified standard classification algorithms so that they can seamlessly handle a continuous stream of both censored and non-censored data. The developed algorithms have been evaluated on real-world sets of time-based data from such diverse domains as intrusion detection, survival analysis, and transportation planning.

About the speaker. Mark Last is a Full Professor at the Department of Information Systems Engineering, Ben-Gurion University of the Negev, Israel and the Head of the Data Mining and Software Quality Engineering Group. Prof. Last obtained his Ph.D. degree from Tel Aviv University, Israel in 2000. He has published about 180 peer-reviewed papers and 10 books on data mining, text mining, and software engineering. Prof. Last currently serves as an Associate Editor of IEEE Transactions on Cybernetics and Pattern Analysis and Applications. His main research interests are focused on data mining, cross-lingual text mining, software quality engineering, and medical informatics.
Prof. Last is currently visiting UCL as Honorary Research Associate in the Division of Infection and Immunity.

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