IT training advanced data mining techniques olson delen 2008 01 21

➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạm

Loại tài liệu: PDF

Số trang: 182 Trang

Tài liệu: ✅ ĐÃ ĐƯỢC PHÊ DUYỆT

TẢI VỀ

Nội dung chi tiết: IT training advanced data mining techniques olson delen 2008 01 21

IT training advanced data mining techniques olson delen 2008 01 21

David L.OIsonDursun DeienAdvanced Data Mining Techniquesâ SpringerDavid L. Olson • Dursun DeienAdvanced Data Mining Techniques0 SpringerDr. David L. O

IT training advanced data mining techniques olson delen 2008 01 21OlsonDepartment of Management ScienceUniversity of NebraskaLincoln. NE 68588-0491USAdolson3@unl.eduDr. Dursun Deien Department of Management Science a

nd Information Systems 700 North Greenwood Avenue Tulsa. Oklahoma 74106 USAdursun.delen@okstate.eduISBN: 978-3-540-76916-3e-ISBN: 978-3-540-76917-0Lib IT training advanced data mining techniques olson delen 2008 01 21

IT training advanced data mining techniques olson delen 2008 01 21

the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,

David L.OIsonDursun DeienAdvanced Data Mining Techniquesâ SpringerDavid L. Olson • Dursun DeienAdvanced Data Mining Techniques0 SpringerDr. David L. O

IT training advanced data mining techniques olson delen 2008 01 21e provisions of the German Copyright Law of September 9, 1965. in its current version, and permission for use must always be obtained from springer. V

iolations are liable to prosecution under the German Copyright Law.The use of general descriptive names, registered names, trademarks, etc. in this pu IT training advanced data mining techniques olson delen 2008 01 21

blication docs not imply, even in the absence of a specific statement, that such names arc exempt from the relevant protective laws and regulations an

IT training advanced data mining techniques olson delen 2008 01 21

d therefore free for general use.Cover design: WMX Design, HeidelbergPrinted on acid-free paper987654 3 21springer.comI dedicate this book to my grand

David L.OIsonDursun DeienAdvanced Data Mining Techniquesâ SpringerDavid L. Olson • Dursun DeienAdvanced Data Mining Techniques0 SpringerDr. David L. O

IT training advanced data mining techniques olson delen 2008 01 21 mining tools that have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficul

ty for the conventional approaches of logistic regression, neural network models, and decision trees. Among these traditional algorithms, neural netwo IT training advanced data mining techniques olson delen 2008 01 21

rk models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relati

IT training advanced data mining techniques olson delen 2008 01 21

ve advantages of several contemporary methods.Book ConceptOur intent is to cover the fundamental concepts of data mining, to demonstrate the potential

David L.OIsonDursun DeienAdvanced Data Mining Techniquesâ SpringerDavid L. Olson • Dursun DeienAdvanced Data Mining Techniques0 SpringerDr. David L. O

IT training advanced data mining techniques olson delen 2008 01 21. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part 111 focuses on business ap

plications of data mining. Not all of these chapters need to be covered, and their sequence could be varied at instructor design.The book will include IT training advanced data mining techniques olson delen 2008 01 21

short vignettes of how specific concepts have been applied in real practice. A scries of representative data sets will be generated to demonstrate sp

IT training advanced data mining techniques olson delen 2008 01 21

ecific methods and concepts. References to data mining software and sites such as www.kdnuggcts.com will be provided.

David L.OIsonDursun DeienAdvanced Data Mining Techniquesâ SpringerDavid L. Olson • Dursun DeienAdvanced Data Mining Techniques0 SpringerDr. David L. O