ACM　SIGMOD日本支部の皆様 日本データベース学会の皆様、 　　　　　　　　講演会のご案内 　　　　　　　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 参加費　無料 参加ご希望の方は、ＳＩＧＭＯＤホームページにて （ http://www.sigmodj.org ） 会員登録の後（会費無料、すでに登録されている方は結構です）、 sigmodj_lecture@tkl.iis.u-tokyo.ac.jpに 添付の参加申込書をお送り下さい。 皆様のご参加をお待ちしております。 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 　　　　　　　　　　　　　　　　http://www.sigmodj.org ----------------------------------------------------------------- To: sigmodj_lecture@tkl.iis.u-tokyo.ac.jp ACM SIGMOD日本支部　講演会　参加申し込み １０月７日の講演会に参加 ・名前 ・ご所属 ------------------------------------------------------------------ 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. ----------------------------------------------------------------------- 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