Data Mining: Know It All Export

@book{citeulike:3847170, abstract = {This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. * Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. * Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions. * Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.}, author = {Chakrabarti, Soumen and Cox, Earl and Frank, Eibe and G\~{a}¼ting, Ralf H. and Han, Jiawei and Jiang, Xia and Kamber, Micheline and Lightstone, Sam S. and Nadeau, Thomas P. and Neapolitan, Richard E. and Pyle, Dorian and Refaat, Mamdouh and Schneider, Markus and Teorey, Toby J. and Witten, Ian H.}, citeulike-article-id = {3847170}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0123746299}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&path=ASIN/0123746299}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&path=ASIN/0123746299}, citeulike-linkout-3 = {http://www.amazon.jp/exec/obidos/ASIN/0123746299}, citeulike-linkout-4 = {http://www.amazon.co.uk/exec/obidos/ASIN/0123746299/citeulike00-21}, citeulike-linkout-5 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0123746299}, citeulike-linkout-6 = {http://www.worldcat.org/isbn/0123746299}, citeulike-linkout-7 = {http://books.google.com/books?vid=ISBN0123746299}, citeulike-linkout-8 = {http://www.amazon.com/gp/search?keywords=0123746299&index=books&linkCode=qs}, citeulike-linkout-9 = {http://www.librarything.com/isbn/0123746299}, day = {21}, howpublished = {Hardcover}, isbn = {0123746299}, keywords = {computer-science, data-mining}, month = {November}, posted-at = {2009-01-04 14:22:31}, priority = {2}, publisher = {Morgan Kaufmann}, title = {Data Mining: Know It All}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0123746299}, year = {2008} }

TY - BOOK ID - citeulike:3847170 L3 - citeulike-article-id:3847170 N2 - This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. * Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. * Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions. * Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. SN - 0123746299 TI - Data Mining: Know It All PB - Morgan Kaufmann KW - computer-science KW - data-mining AU - Chakrabarti, Soumen AU - Cox, Earl AU - Frank, Eibe AU - Gã¼ting, Ralf AU - Han, Jiawei AU - Jiang, Xia AU - Kamber, Micheline AU - Lightstone, Sam AU - Nadeau, Thomas AU - Neapolitan, Richard AU - Pyle, Dorian AU - Refaat, Mamdouh AU - Schneider, Markus AU - Teorey, Toby AU - Witten, Ian PY - 2008/11/21/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0123746299 ER -