Colloquium A

日時(Date) 2022年10月6日(木)2限(11:30--12:30)
Thu. Oct. 6th, 2022, 2nd period (11:30--12:30)
場所(Location) Face to face (L1) and Online (link: TBA)
司会(Chair) Md Delwar Hossain
講演者(Presenter) Prof. Latifur Khan (Department of Computer Science, University of Texas at Dallas, USA)
題目(Title) Big Stream Data Analytics: Current & Future Trends
概要(Abstract) Data streams are continuous flows of data. Examples of data streams include network traffic, sensor data, call center records and so on. Their sheer volume and speed pose a great challenge for the data mining community to mine them. Data streams demonstrate several unique properties: concept-drift, and concept-evolution. Concept-drift occurs in data streams when the underlying concept of data changes over time. Concept-evolution occurs when new classes evolve in streams. Each of these properties adds a challenge to data stream mining. This talk will present an organized picture on how to handle various data mining techniques in data streams: in particular, how to handle classification and clustering in evolving data streams by addressing these challenges. In this talka number of applications of stream mining will be presented such as adaptive website fingerprinting, evolving insider threatdetection, textual stream classification, attack trace classification using good quality similarity metrics (metric learning) and domain adaptation. This research was funded in part by NSF, NASA, Air Force Office of Scientific Research (AFOSR), NSA, IBM Research, HPE and Raytheon.
講演言語(Language) English
講演者紹介(Introduction of Lecturer) Dr. Latifur Khan is currently a full Professor (tenured) in the Computer Science department at the University of Texas at Dallas, USA where he has been teaching and conducting research since September 2000. He received his Ph.D. degree in Computer Science from the University of Southern California (USC) in August of 2000. Dr. Khan is a fellow of IEEE, IET, BCS, and an ACM Distinguished Scientist. He has received prestigious awards including the IEEE Technical Achievement Award for Intelligence and Security Informatics, IEEE Big Data Security Award and IBM Faculty Award (research) 2016.Dr. Latifur Khan has published over 300 papers in premier journals and prestigious conferences. Currently, Dr. Khan’s research area focuses on big data management and analytics, data mining and its application over cyber security, complex data management including geo-spatial data and multimedia data. His research has been supported by grants from NSF, NIH, the Air Force Office of Scientific Research (AFOSR), DOE, NSA, IBM and HPE. More details can be found at: link