Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Feature Extraction, Construction And Selection: A Data Mining PerspectiveISBN13:9781461376224ISBN10:146137622XAuthor:Huan Liu (Editor), Motoda, Hiroshi (Editor)Description:There Is Broad Interest In Feature Extraction, Construction, And Selection Among Practitioners From Statistics, Pattern Recognition, And Data Mining To Machine Learning Data Preprocessing Is An Essential Step In The Knowledge Discovery Process For Real-World Applications This Book Compiles Contributions From Many Leading And Active Researchers In This Growing Field And Paints A Picture Of The State-Of-Art Techniques That Can Boost The Capabilities Of Many Existing Data Mining Tools The Objective Of This Collection Is To Increase The Awareness Of The Data Mining Community About The Research Of Feature Extraction, Construction And Selection, Which Are Currently Conducted Mainly In Isolation This Book Is Part Of Our Endeavor To Produce A Contemporary Overview Of Modern Solutions, To Create Synergy Among These Seemingly Different Branches, And To Pave The Way For Developing Meta-Systems And Novel Approaches Even With Today's Advanced Computer Technologies, Discovering Knowledge From Data Can Still Be Fiendishly Hard Due To The Characteristics Of The Computer Generated Data Feature Extraction, Construction And Selection Are A Set Of Techniques That Transform And Simplify Data So As To Make Data Mining Tasks Easier Feature Construction And Selection Can Be Viewed As Two Sides Of The Representation Problem Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:2012-10-11Weight:1.35 lbsDimensions:0.89'' H x 9.21'' L x 6.14'' WNumber of Pages:410Language:English
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Book Title: Feature Extraction, Construction And Selection: A Data Minin...
Item Length: 9.3in
Item Height: 0.4in
Item Width: 6.1in
Author: Hiroshi Motoda
Publication Name: Feature Extraction, Construction and Selection : a Data Mining Perspective
Format: Trade Paperback
Language: English
Publisher: Springer
Publication Year: 2012
Series: The Springer International Series in Engineering and Computer Science Ser.
Type: Textbook
Item Weight: 23.6 Oz
Number of Pages: Xxiv, 410 Pages