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Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)
Pappa, Gisele L., Freitas, Alex
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Description for Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)
Paperback. This unique text seeks to automate the design of a data mining algorithm. It first overviews data mining and evolutionary algorithms then discusses the design of a new genetic programming system for automating the design of full rule induction algorithms. Series: Natural Computing Series. Num Pages: 200 pages, 33 black & white illustrations, biography. BIC Classification: UNF; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 10. Weight in Grams: 320.
Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This ... Read more
Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer
Condition
New
Series
Natural Computing Series
Number of Pages
187
Place of Publication
Berlin, Germany
ISBN
9783642261251
SKU
V9783642261251
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach (Natural Computing Series)
From the reviews: "The book is targeted at researchers and postgraduate students. As the amount of data being mined continues to grow it demands ever more sophisticated mining algorithms. Therefore there is a need for new algorithms and so Pappa and Freitas’ book will be of interest particularly to researchers in data mining. ... [T]his book will appeal to ... Read more