|Author:||Michael Geatz,Richard Roiger|
|Title:||Data Mining: A Tutorial Based Primer|
|Format:||azw txt doc lrf|
|ePUB size:||1879 kb|
|FB2 size:||1371 kb|
|DJVU size:||1220 kb|
|Publisher:||Pearson; 1st edition (October 6, 2002)|
Richard J. Roiger is a professor of computer science at Minnesota State University, Mankato and a senior software engineer for Information Acumen Corporation (ww. nfoacumen. Richard received a P. degree in Computer Science from the University of Minnesota in 1991. He is a member of the American Association of Artificial Intelligence, the Association for Computing Machinery and IEEE.
The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Government works Printed on acid-free paper Version Date: 20161025 International Standard.
Richard Roiger, Michael Geatz. Data Mining: A Tutorial Based Primer. Richard Roiger, Michael Geatz. Data Mining: A Tutorial Based Primer Richard Roiger, Michael Geatz This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded perspective. A basic familiarity with the field of data mining concepts is built and then enhanced via 13 data mining tutorials. Upon completion of these tutorials, students will be fully able to data mine. This book is appropriate for.
2nd ed. - CRC Press, 2016. 512 p. - (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem.
Richard Roiger, Minnesota State University. Michael Geatz, Information Acumen Corporation. and a software consultant to the financial and medical device industries. He was also co-founder of an artificial intelligence company, Information Acumen Corp. is a named inventor of a patented piezoelectric switch for use in radio frequency identification (RFID) chips as well as the world's first wrist pulse sensor, and is proud of his civilian service to the . Roiger, Michael W. Geatz. Addison-Wesley Publishing 2003. Updated: July 15, 2012. Supplements: iData Analyzer Download. Using WEKA with Data Mining A Tutorial-Based Primer. PowerPoint Slides (Includes slides on microarray data mining). More Datasets (Now includes two microarray datasets). Neural Networks (New GUI Interface!)
2 The Course Book Data Mining: A Tutorial Based Primer by Richard . oiger, Michael Geatz. 3 . Data Mining: A Definition The process of employing one or more computer learning techniques to automatically analyze and extract knowledge from data
Contributor(s): Geatz, Michael. Publisher: Boston : Addison Wesley, c2003Description: 1 v. (various pagings) : ill. ; 24 cm. + 1 CD-ROM (4 3/4 i. Subject(s): Data mining Veri madenciliği DDC classification: 00. Tags from this library: No tags from this library for this title. Genel Koleksiyon, Main Collection.
Author: Richard J. Roiger. Dr. Roiger does an excellent job of describing in step by step detail formulae involved in various data mining algorithms, along with illustrations. In addition, his tutorials in Weka software provide excellent grounding for students in comprehending the underpinnings of Machine Learning as applied to Data Mining.