000			01309nam a2200169Ia 4500
008			140323b2001 xxu||||| |||| 00| 0 eng d
020			_a1402000332
082			_a006.3
245			_aData mining for scientific and engineering applications
260			_aBoston _bKluwer Academic Publishers _c2001
300			_a605 p.
520			_aAdvances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific data sets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenge that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications.
650			_aData mining.
700			_aGrossman, Robert L; Kamath, Chandrika; Kegelmeyer, P _91114615
942			_cBK
999			_c294119 _d294119