CS 349: Data Mining, Search, and the World Wide Web


Tuesdays and Thursdays 4:15 - 5:30 in Bldg 370, Room 370 on the Main Quad

Instructors: Sergey Brin and Lawrence Page
Tues and Thurs 5:30 - 7:00 or by appointment.
sergey@cs.stanford.edu and page@cs.stanford.edu

Course Assistant: Diane Tang
Gates 416: Mon - Wed 11:15 - 12:15 or by appointment.


Over the past two years there has been a close collaboration between the Data Mining Group (MIDAS) and the Digital Libraries Group at Stanford in the area of Web research. It has culminated in the WebBase project whose aims are to maintain a local copy of the World Wide Web (or at least a substantial portion thereof) and to use it as a research tool for information retrieval, data mining, and other applications. This has led to the development of the PageRank algorithm, the Google search engine, the DIPRE algorithm, and a number of other works which represent the cutting edge of research on the Web today (see WebBase Publications).

The topics of this class are data mining and information retrieval in the context of the World Wide Web. First, we will cover background material in data mining and information retrieval that is relevant to the class. Second, we will cover recent advances made at Stanford (PageRank, DIPRE,...) and elsewhere (Kleinberg, Mitchell,...). Third and most important students will get the opportunity to work hands on with the WebBase as this will be a project class. We have already modularized a large part of the code to give people the opportunity to work with it and will continue to do so throughout the summer. Several people have already taken advantage of the code. The current WebBase repository consists of roughly 25 million web pages amounting to 150 GB of HTML.


Very Tentative Syllabus

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Sergey Brin [ sergey@cs.Stanford.EDU ]
Last modified: Sat Oct 24 23:18:37 PDT 1998