fprの皆様 立教大学の山口和範です。 来月長岡技術科学大学で開催される日本行動計量学会で 下記のチュートリアルセミナーが開催されます。 ぜひご参加ください。 申し込みや詳細は、http://www.ir.rikkyo.ac.jp/%7Ebsj33t/index.htm をご覧ください。 なお、講演は英語で行われますが、日本語での解説を立教大学の岡太彬訓教授が 行います。 -------------------------------------------------- 講演タイトル： WEB MINING ＆ e-INTELLIGENCE 講演者： Wolfgang Gaul教授, University of Karlsruhe 日 時： 2005年8月26日 1PM〜5PM 会 場： 長岡技術科学大学 講演要旨 The rise of the World Wide Web has dramatically increased the “availability of data/information” with all its advantages and disadvantages. For a discussion of how to tackle the challenge of Web data analysis different starting points can be taken into consideration, e.g.: From a more theoretical data-analytical point of view one can use data analysis and statistics as basis and proceed with data mining and web mining techniques for handling the underlying data problems. From a more application-oriented point of view one can start with the behavior of Web visitors and their wishes as prerequisites and suggest intelligent solutions for selected target groups. Of course, we will present own methodological developments, e.g.: our a priori algorithm for generalized sequences (to help to analyze navigational behavior of internet users) which generalizes the a priori algorithm for sets and for sequences, our FTMC (fuzzy two mode clustering) algorithm (to suggest another recommender system for collaborative filtering tasks) which can be applied to the missing values situation within Web response data, and our DTARtext algorithm (to support personalized Web content mining) which combines decision trees (DT) and association rules (AR) for text classification. Additionally, when Web usage data is analysed, the Web robot detection problem arises (as it is of importance to know whether human users or Web robots have created requests), for business with the help of the Web, optimization of online visibility of Web sites (in competition with other Web sites) is a problem that can be tackled by Web mining. In the seminar we will start with a description of recommender systems (software that collects, aggregates, transforms, … information from the Web and returns recommendations to support internet users as well as Web site owners) as general frame 23:16 2005/05/27 from which answers for the just mentioned topics and other interesting questions can be derived. -------------------------------------------------- 以上です。 kazunori yamaguchi, rikkyo university <http://www.ir.rikkyo.ac.jp/~kazunori/>
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