ACM　SIGMOD日本支部の皆様
日本データベース学会の皆様、


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　　　　　　　主催　ACM SIGMOD日本支部
　　　　　　　協賛　日本データベース学会

日時　１０月７日（木）　午後５時〜午後６時３０分
場所　東京大学生産技術研究所　E棟５階　会議室A（Ew-501)
　　　http://www.iis.u-tokyo.ac.jp/map/index.html

Title: Mining Interesting Patterns from Large Data Sets and their use in
       building Efficient Classifiers
Speaker: Professor Ramamohanarao Kotagiri
         Department of Computer Science and Software Engineering
         The University of Melbourne

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                        ACM　SIGMOD日本支部　支部長　北川博之
　　　　　　　　　　　　　　　　　　　　　　 担当幹事　中野　美由紀

                        連絡(問合せ)先　ACM SIGMOD日本支部
                                sigmodj_lecture@tkl.iis.u-tokyo.ac.jp
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Title: Mining Interesting Patterns from Large Data Sets and their use in
       building Efficient Classifiers
Speaker: Professor Ramamohanarao Kotagiri
         Department of Computer Science and Software Engineering
         The University of Melbourne

Abstract:
Collection of vast amounts of information became feasible for many
businesses, organisations and institutions due to the availability of
inexpensive storage, communication and computer systems.  In practice,
the collected information could be several hundreds of terabytes.
However, collection of such a large volume of information is worthless
for these organisations unless the data can be used for inferring some
useful knowledge that can be employed for improving the efficiency of
their systems and/or processes. In my talk I introduce the notion of
Interesting Patterns from data sets, which can be used for understanding
existing processes, or building efficient classifiers and intelligent
decision systems.  Discovering these patterns is, however,
computationally a very hard problem in general. I will present efficient
ways of discovering some of these patterns, so that they can be used for
building intelligent decision systems.




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中野　美由紀		東京大学　生産技術研究所　喜連川研究室
Miyuki NAKANO		Institute of Industrial Science, Univ. of Tokyo
miyuki@tkl.iis.u-tokyo.ac.jp


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