000			02683cam a2200229 a 4500
999			_c823 _d823
001			18310
010			_a 99017280
020			_a1558605290 (pbk./CD-ROM)
040			_aDLC
082	0	0	_a005.74
100	1		_aPyle, Dorian. _938417
245	1	0	_aData preparation for data mining / _cDorian Pyle.
260			_aSan Francisco, Calif. : _bMorgan Kaufmann Publishers, _cc1999.
300			_axix, 540 p. : _bill ; _c24 cm. + _e1 computer laser optical disc (4 3/4 in.)
504			_aIncludes bibliographical references (p. 509-511) and index.
520			_aData Preparation for Data Mining addresses an issue unfortunately ignored by most authorities on data mining: data preparation. Thanks largely to its perceived difficulty, data preparation has traditionally taken a backseat to the more alluring question of how best to extract meaningful knowledge. But without adequate preparation of your data, the return on the resources invested in mining is certain to be disappointing. Dorian Pyle corrects this imbalance. A twenty-five-year veteran of what has become the data mining industry, Pyle shares his own successful data preparation methodology, offering both a conceptual overview for managers and complete technical details for IT professionals. Apply his techniques and watch your mining efforts pay off-in the form of improved performance, reduced distortion, and more valuable results. On the enclosed CD-ROM, you'll find a suite of programs as C source code and compiled into a command-line-driven toolkit. This code illustrates how the author's techniques can be applied to arrive at an automated preparation solution that works for you. Also included are demonstration versions of three commercial products that help with data preparation, along with sample data with which you can practice and experiment. * Offers in-depth coverage of an essential but largely ignored subject. * Goes far beyond theory, leading you-step by step-through the author's own data preparation techniques. * Provides practical illustrations of the author's methodology using realistic sample data sets. * Includes algorithms you can apply directly to your own project, along with instructions for understanding when automation is possible and when greater intervention is required. * Explains how to identify and correct data problems that may be present in your application. * Prepares miners, helping them head into preparation with a better understanding of data sets and their limitations.
526	0		_aISIT311
650		0	_aDatabase management. _9580
650		0	_aData mining. _9312
856			_uhttps://uowd.box.com/s/emji2tyypl5bnk41qhxxpqodaug1myvj _zLocation Map
942			_c3DAY _2ddc