{"product_id":"9789814590099","title":"Data Mining With Decision Trees: Theory And Applications (2nd Edition): Theory and Applications","description":"\u003cp\u003eDecision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.\u003c\/p\u003e\u003cp\u003eThis 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition.  In this new edition, all chapters have been revised and new topics brought in. New topics include Cost-Sensitive Active Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning, Lessons Learned from Comparative Studies, and Learning Decision Trees for Big Data. A walk-through guide to existing open-source data mining software is also included in this edition.\u003c\/p\u003e\u003cp\u003eThis book invites readers to explore the many benefits in data mining that decision trees offer:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSelf-explanatory and easy to follow when compacted\u003c\/li\u003e\n\u003cli\u003eAble to handle a variety of input data: nominal, numeric and textual\u003c\/li\u003e\n\u003cli\u003eScales well to big data\u003c\/li\u003e\n\u003cli\u003eAble to process datasets that may have errors or missing values\u003c\/li\u003e\n\u003cli\u003eHigh predictive performance for a relatively small computational effort\u003c\/li\u003e\n\u003cli\u003eAvailable in many open source data mining packages over a variety of platforms\u003c\/li\u003e\n\u003cli\u003eUseful for various tasks, such as classification, regression, clustering and feature selection\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eIntroduction to Decision Trees\u003c\/li\u003e\n\u003cli\u003eTraining Decision Trees\u003c\/li\u003e\n\u003cli\u003eA Generic Algorithm for Top-Down Induction of Decision Trees\u003c\/li\u003e\n\u003cli\u003eEvaluation of Classification Trees\u003c\/li\u003e\n\u003cli\u003eSplitting Criteria\u003c\/li\u003e\n\u003cli\u003ePruning Trees\u003c\/li\u003e\n\u003cli\u003ePopular Decision Trees Induction Algorithms\u003c\/li\u003e\n\u003cli\u003eBeyond Classification Tasks\u003c\/li\u003e\n\u003cli\u003eDecision Forests\u003c\/li\u003e\n\u003cli\u003eA Walk-through Guide for Using Decision Trees Software\u003c\/li\u003e\n\u003cli\u003eAdvanced Decision Trees\u003c\/li\u003e\n\u003cli\u003eCost-sensitive Active and Proactive Learning of Decision Trees\u003c\/li\u003e\n\u003cli\u003eFeature Selection\u003c\/li\u003e\n\u003cli\u003eFuzzy Decision Trees\u003c\/li\u003e\n\u003cli\u003eHybridization of Decision Trees with Other Techniques\u003c\/li\u003e\n\u003cli\u003eDecision Trees and Recommender Systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eReadership:\u003c\/b\u003e Researchers, graduate and undergraduate students in information systems, engineering, computer science, statistics and management.\u003cbr\u003e","brand":"World Scientific Publishing Company, Incorporated","offers":[{"title":"Default Title","offer_id":47150140489968,"sku":"9789814590099","price":44.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9789814590099_p0.jpg?v=1763691135","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9789814590099","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}