Semi-automated web resource discovery and analysis: An approach based on interactive machine learning principles

Semi-automated web resource discovery and analysis: An approach based on interactive machine learning principles (2001)

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by Asle Pedersen

BibTeX

@MISC{Pedersen01semi-automatedweb,
    author = {Asle Pedersen},
    title = {Semi-automated web resource discovery and analysis: An approach based on interactive machine learning principles},
    year = {2001}
}

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Abstract

ps visualisation. 69. S. Chakrabarti, M. van den Berg and B. Dom. Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery. WWW8. 61 23. WhizBang! Labs. http://www.whizbang.com/ 24. Inxight Thing Finder. http://www.inxight.com/ 25. C. J. Godby, R.R. Reighart. The WordSmith Indexing System. 1998 26. Chimezie Thomas-Ogbuji. Transforming Python performance data. February 2001. http://www106. ibm.com/developerworks/library/x-transpy/?dwzone=xml 27. The Python programming language. http://www.python.org 28. MySQL. http://www.mysql.com 29. Python DB API 2.0. http://www.python.org/topics/database/DatabaseAPI-2.0.html 30. Armin S. A Rehrl, Martin Frey, R. Alexander Rehrl. World Wide Web Robot for Extreme Datamining with Swiss-Tx Supercomputers. Interim Report, June 1999. 31. Ninth Python Conference. http://www.python9.org 32. Robot Exclusion Protocol. http://www.robotstxt.org 33. Zlib. http://www.info-zip.org/pub/infozip/zlib/ 34. The Reiser Filesystem. http://

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