[dbjapan] Re: Prof. Sharma Chakravarthy 講演会（日程変更）

[Haruo Yokota <yokota [at] cs.titech.ac.jp>]

日本データベース学会の皆様、

過日、下記のように、3月17日（木）に Prof. Sharma Chakravarthy 講演会を
東工大で開催する旨のご連絡を致しましたが、東北地方太平洋沖地震の影響に
より、日程を変更して3月15日（火）に開催する方向で調整を行っております。

直前の変更で申し訳ありませんが、詳細が決定し次第再度連絡をさせて頂けれ
ばと思います。

よろしくお願い致します。

                             ACM　SIGMOD日本支部　支部長　横田　治夫


At Thu, 10 Mar 2011 20:50:06 +0900 (JST) [<20110310.205006.70198249.yokota [at] cs.titech.ac.jp>]
	 Haruo Yokota <yokota [at] cs.titech.ac.jp> wrote:
> 
> 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/kouenkai20110317.html
> 
> 講演者： Prof. Sharma Chakravarthy (The University of Texas at Arlington)
> 演題： InfoSift: Adapting Graph Mining Techniques for Document Classification
> 日時： 3月17日（木）　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-20110317.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:
>  InfoSift: Adapting Graph Mining Techniques for Document Classification
> 
> Abstract: 
> I will briefly describe ongoing projects at the IT Lab before the main
> presentation.
> 
> Text classification is the problem of assigning pre-defined class labels to
> incoming, unclassified documents. The class labels are defined based on a
> sample of pre-classified documents, which are used as a training corpus. A
> number of machine learning, probabilistic, and information retrieval based
> approaches have been proposed for text classification.
> 
> This talk proposes a novel graph-based mining approach for document
> classification. Our approach is based on the premise that representative --
> common and recurring -- structures or patterns can be extracted from a
> pre-classified document class and the same can be used effectively for
> classifying incoming documents. To the best of our knowledge, there is no
> existing work in the area of text, email or web page classification based on
> pattern inference and the utilization of the learned patterns for
> classification. A number of factors that influence representative structure
> extraction and classification are analyzed conceptually and validated
> experimentally. In our approach, the notion of inexact graph match is
> leveraged for deriving structures that provide coverage for characterizing the
> contents of a document class. The results of our approach are compared with
> Naïve Bayes approach. We discuss both single and multi-folder classification
> for emails.
> 
> This is a joint work with my students Many Aery and Aravind Venkatachalam.
> 
> 
> Short Biography:
> Sharma Chakravarthy is Professor of Computer Science and Engineering
> Department at The University of Texas at Arlington, Texas. He established the
> Information Technology Laboratory at UT Arlington in Jan 2000 and currently
> heads it. Sharma Chakravarthy has also established the NSF-funded, Distributed
> and Parallel Computing Cluster at UT Arlington in 2003. He is the recipient of
> the university-level “Creative Outstanding Researcher” award for 2003 and the
> department level senior outstanding researcher award in 2002. His book -
> Stream Data Processing: A Quality of Service Perspective - is published by
> Springer in 2009.
> 
> He is well known for his work on stream and event processing, semantic query
> optimization, multiple query optimization, active databases (HiPAC project at
> CCA and Sentinel project at the University of Florida, Gainesville), and more
> recently web database ranking, graph mining, and identification of experts.
> 
> His current research includes web technologies, stream data processing,
> complex event processing, mining & knowledge discovery, and information
> integration. He has published over 150 papers in refereed international
> journals and conference proceedings. He has given tutorial on a number of
> database topics, such as stream processing, graph mining, database mining,
> active, real-time, distributed, object-oriented, and heterogeneous databases
> in North America, Europe, and Asia. He is an associate editor of TKDE. He is
> listed in Who's Who Among South Asian Americans and Who's Who Among America's
> Teachers.
> 
> Prior to joining UTA, he was with the University of Florida, Gainesville.
> Prior to that, he worked as a Computer Scientist at the Computer Corporation
> of America (CCA) and as a Member, Technical Staff at Xerox Advanced
> Information Technology, Cambridge, MA.
> 
> Sharma Chakrvarthy received the B.E. degree in Electrical Engineering from the
> Indian Institute of Science, Bangalore and M.Tech from IIT Bombay, India. He
> worked at TIFR (Tata Institute of Fundamental Research), Bombay, India for a
> few years. He received M.S. and Ph.D degrees from the University of Maryland
> in College park in 1981 and 1985, respectively.
> 
> 
> −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−
>                      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
> −−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−