dbjapanメーリングリストアーカイブ(2010年)
[dbjapan] Prof. Jeffrey Xu Yu 講演会(12月22日)
- To: dbjapan [at] dbsj.org
- Subject: [dbjapan] Prof. Jeffrey Xu Yu 講演会(12月22日)
- From: Haruo Yokota <yokota [at] cs.titech.ac.jp>
- Date: Fri, 10 Dec 2010 15:44:54 +0900 (LMT)
- Cc: yokota [at] cs.titech.ac.jp
日本データベース学会の皆様、 東工大の横田です。 下記の ACM SIGMOD 日本支部講演会のご案内をさせて頂きます。 http://www.sigmodj.org/Events/kouenkai20101222.html 講演者: Prof. Jeffrey Xu Yu (the Chinese University of Hong Kong) 演題: Large Attribute Graph Clustering 日時: 12月22日(水) 午後3時〜午後4時 会場: 東京工業大学 大岡山キャンパス 西8E号棟10階 1004会議室 (東京都目黒区大岡山2-12-1) 下記地図(大岡山東・西・南地区)の 26 の番号が振ってあるビル http://www.titech.ac.jp/about/campus/o_map.html?id=03 参加費:無料 参加申込: Webにてお申し込み下さい。 http://www.sigmodj.org/Event-reg/form-20101222.html に登録用フォームがありますので、ご利用下さい。 会場の収容人数に限りがございますので、収容人数を越えましたら そこで申込みは絞めきらせて頂きますので、ご了承下さい。 参加登録には確認のメールをお返しします。確認メールが来ない場合には、 helpdesk [at] sigmodj.org までお問合せください。 ACM SIGMOD日本支部 支部長 横田 治夫 ----------------------------------------------------------------- Title: Large Attribute Graph Clustering Abstract: In recent years, there exist many large graphs available including social networks, sensor networks, biological networks, etc. Such large graphs need to be fully investigated. Graph clustering has shown its effectiveness in analyzing and visualizing large graphs. The goal of clustering a large graph is to partition vertices into different clusters based on various criteria. Almost all existing graph clustering approaches focus on either the similarity of topological structure around vertices or the similarity of attribute values associated with vertices. In this talk, we discuss a new graph clustering approach based on both structural and attribute similarities using a unified distance measure. Our approach partitions a large attribute graph into k clusters such that each cluster contains a densely connected subgraph with homogeneous attribute values. We will discuss the details of our approach in this talk. Short Biography: Dr Jeffrey Xu Yu is a Professor in the Department of Systems Engineering and Engineering Management, the Chinese University of Hong Kong. His current main research interests include graph mining, graph query processing, graph pattern matching, and keywords search in relational databases. Dr. Yu served/serves in over 200 organization committees and program committees in international conferences/workshops. Dr. Yu also served as an associate editor of IEEE Transactions on Knowledge and Data Engineering (2004-2008), and currently servers in VLDB Journal editorial board and ACM SIGMOD executive committee. He has published over 200 papers including papers published in reputed journals and major international conferences. −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−− 横田 治夫 〒152-8552 東京都目黒区大岡山 2-12-1 東京工業大学 大学院 情報理工学研究科 計算工学専攻 TEL: (03) 5734-3505 (直通)、 FAX: (03) 5734-3504 email: yokota [at] cs.titech.ac.jp −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−
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