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A Practical Guide To Data Mining For Business And Industry
Andrea Ahlemeyer - Stubbe, Shirley Coleman
Synopsis "A Practical Guide To Data Mining For Business And Industry"
Normal 0 False False False En - Us Zh - Cn Th Microsoftinternetexplorer4 / * Style Definitions * / Table. Msonormaltable {Mso - Style - Name: Table Normal; Mso - Tstyle - Rowband - Size: 0; Mso - Tstyle - Colband - Size: 0; Mso - Style - Noshow: Yes; Mso - Style - Priority: 99; Mso - Style - Qformat: Yes; Mso - Style - Parent: ; Mso - Padding - Alt: 0In 5. 4Pt 0In 5. 4Pt; Mso - Para - Margin: 0In; Mso - Para - Margin - Bottom: . 0001Pt; Mso - Pagination: Widow - Orphan; Font - Size: 10. 0Pt; Font - Family: Calibri, Sans - Serif; } The Authors Present A User Friendly Approach To Data Mining Methods Covering The Typical Uses To Which It Is Applied. The Methodology Is Complemented By Case Studies To Create A Versatile Reference Book, Allowing Readers To Look For Specific Methods As Well As For Specific Applications. The Book Is Designed So That The Reader Can Cross - Refer From A Particular Application Or Method To Sectors Of Interest Just As In A Classic Cookbook. The Necessary Basic Knowledge Of Data Mining Methods Is Presented, Along With Sector Issues To Do With Data Mining And Its Various Applications
