In Data Mining, Witten and Frank define the subject as “the extraction of implicit, previously unknown, and potentially useful information from data,” as the process of “finding and describing patterns in data.” Machine learning, a sub-discipline of computer science, goes one step further by attempting to use these patterns to classify previously unseen data. Historians are now beginning to use both kinds of techniques in the research process.
Readings for Discussion
Cohen, Daniel J. “![[WWW]](http://wikispot.org/wiki/eggheadbeta/img/sycamore-www.png){kind=small}
Mapping What Americans Did on September 11,” dancohen.org (8 Aug 2006).
Cohen, Daniel J. “Intelligence Analysts and Humanities Scholars,” dancohen.org (13 Nov 2006).
Cohen, Daniel J. “History and the Second Decade of the Web,” Rethinking History (Jun 2004).
Cohen, Daniel J. and Roy Rosenzweig. “Web of Lies? Historical Knowledge on the Internet,” First Monday 10, no. 12 (15 Nov 2005).
Garrett, Jeffrey. “KWIC and Dirty? Human Cognition and the Claims of Full-Text Searching,” Journal of Electronic Publishing 9, no. 1 (Winter 2006).
Kelly, T. Mills. “Analyzing Traffic,” edwired (29 Sep 2006).
Turkel, W. J. “Searching for History,” Digital History Hacks (12 Oct 2006).
Unsworth, John. “The Scholar in the Digital Library,” (6 Apr 2000).
