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Contrast data mining: methods and applications: Ramamohanarao (Rao) Kotagiri Abstract: The ability to distinguish, differentiate and contrast between different datasets is a key objective in data mining. Such an ability can assist domain experts to understand their data, and can help in building robust and accurate classification models. This presentation will introduce the principal techniques for contrasting different types of data, covering the main dataset varieties such as relational, sequence, and graph forms of data, clusters, as well as data cubes. It will also focus on some important real world application areas that illustrate how mining contrasts is advantageous. Short Bio: Professor Ramamohanarao (Rao) Kotagiri received his degrees BE at Andhra University, ME at the Indian Institute of Science, Bangalore and PhD at Monash University. He was awarded the Alexander von Humboldt Fellowship in 1983. He has been at the University Melbourne since 1980 and was appointed a professor in computer science in 1989. Rao held several senior positions including Head of Computer Science and Software Engineering, Head of the School of Electrical Engineering and Computer Science at the University of Melbourne, Deputy Director of Centre for Ultra Broadband Information Networks, Co-Director of the Key Centre for Knowledge-Based Systems, and Research Director for the Cooperative Research Centre for Intelligent Decision Systems. He served as a member of the Australian Research Council Information Technology Panel. He served on the Prime Minister's Science, Engineering and Innovation Council working party on Data for Scientists. He also served on the Editorial Boards of the Computer Journal. At present he is on the Editorial Boards for Universal Computer Science, the Journal of Knowledge and Information Systems, IEEE TKDE (Transactions on Knowledge and Data Engineering), Journal of Statistical Analysis and Data Mining and VLDB (Very Large Data Bases) Journal. He served as a program committee member of several International conferences including SIGMOD, IEEE ICDM, VLDB, ICLP and ICDE. He was the program Co-Chair for VLDB, PAKDD, DASFAA and DOOD conferences. He is a steering committee member of IEEE ICDM, PAKDD and DASFAA. Rao is a Fellow of the Institute of Engineers Australia, Australian Academy Technological Sciences and Engineering and Australian Academy of Science. Rao has research interests in the areas of Database Systems, Logic Based Systems, Agent Oriented Systems, Information Retrieval, Data Mining, Intrusion Detection and Machine Learning. |
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