000 02512 a2200265 4500
008 140323b2008 xxu||||| |||| 00| 0 eng d
020 _a9789812771711
082 _a006.312
100 _aRokach, Lior
245 _aData mining with decision trees: theory and applications
260 _aNew Jersey
_bWorld Scientific Publishing Co. Pvt. Ltd.
300 _axviii, 244 p
365 _bUSD 87.00
440 _aSeries in machine perception and artificial intelligence; v.
500 _aIncludes bibliographical references and index
520 _aThis is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer: 1. Self-explanatory and easy to follow when compacted 2. Able to handle a variety of input data: nominal, numeric and textual 3. Able to process datasets that may have errors or missing values 4. High predictive performance for a relatively small computational effort 5. Available in many data mining packages over a variety of platforms 6. Useful for various tasks, such as classification, regression, clustering and feature selection. Source: http://search.barnesandnoble.com
650 _aData mining
650 _aDecision trees
650 _aMachine learning
650 _aDecision support systems
700 _aMaimon, Oded
942 _cBK
952 _p167396
_DHimanshu Book Co.
_MProf. Venkata Rao V
_o006.312 R6D2
999 _c162014