Better Decision Tree from Intelligent Instance Selection: A new instance selection method based on Genetic Algorithm for optimizing decision trees - Softcover
Synopsis
This book describes theoretical and experimental studies of instance selection to improve data mining model. Data preparation is one of the most important and time consuming phases in knowledge discovery. Preparation tasks often determine the success of data mining engagements. The importance of instance selection is the primary focus because the size of current and future databases often exceeds the amount of data which current data mining algorithms can handle properly. Instance selection thus can be used to improve scalability of data mining algorithms as well as improve the quality of the data mining results. This book presents a new optimization-based approach for instance selection that uses a genetic algorithm to select a subset of instances to produce a simpler decision tree model with acceptable accuracy. The resultant trees are easier to comprehend and interpret by the decision maker and hence more useful in practice. Numerical results are obtained for several difficult test data sets indicating that GA-based instance selection can often reduce the size of the decision tree by an order of magnitude while still maintaining good prediction accuracy.
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Product Description
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About the Author
Dr. Wu has over 10 years experiences in data management, data mining, and operations research. His expertise is in instance selection, decision tree modeling and metaheuristic optimization. He holds a bachelor?s and master's degree from Tsinghua University in China, and a PhD?s degree in Industrial Engineering from Iowa State University.
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Better Decision Tree from Intelligent Instance Selection | A new instance selection method based on Genetic Algorithm for optimizing decision trees
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Taschenbuch. Condition: Neu. Better Decision Tree from Intelligent Instance Selection | A new instance selection method based on Genetic Algorithm for optimizing decision trees | Shuning Wu | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639167412 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101550475
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Better Decision Tree from Intelligent Instance Selection : A new instance selection method based on Genetic Algorithm for optimizing decision trees
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes theoretical and experimentalstudies of instance selection to improve data miningmodel. Data preparation is one of the most importantand time consuming phases in knowledge discovery.Preparation tasks often determine the success of datamining engagements. The importance of instanceselection is the primary focus because the size ofcurrent and future databases often exceeds the amountof data which current data mining algorithms canhandle properly. Instance selection thus can be usedto improve scalability of data mining algorithms aswell as improve the quality of the data mining results. This book presents a new optimization-based approachfor instance selection that uses a genetic algorithmto select a subset of instances to produce a simplerdecision tree model with acceptable accuracy. Theresultant trees are easier to comprehend andinterpret by the decision maker and hence more usefulin practice. Numerical results are obtained forseveral difficult test data sets indicating thatGA-based instance selection can often reduce the sizeof the decision tree by an order of magnitude whilestill maintaining good prediction accuracy. Seller Inventory # 9783639167412
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Better Decision Tree from Intelligent Instance Selection: A new instance selection method based on Genetic Algorithm for optimizing decision trees
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