MARC details
000 -LEADER |
fixed length control field |
02529nam a22002057a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
VITAP |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230325105852.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230325b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9788131519554 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
VITAP |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Edition number |
23rd |
Classification number |
006.312 DU |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
11228 |
Personal name |
Du, Hongbo |
245 ## - TITLE STATEMENT |
Title |
Data Mining Techniques and Applications : |
Remainder of title |
An Introduction / |
Statement of responsibility, etc. |
Hongbo Du |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New Delhi |
Name of publisher, distributor, etc. |
Cengage Learning India Pvt. Ltd. |
Date of publication, distribution, etc. |
2010 |
300 ## - PHYSICAL DESCRIPTION |
Other physical details |
xvii, 315p. : ill. ; |
Dimensions |
24cm |
520 ## - SUMMARY, ETC. |
Summary, etc. |
It includes bibliography and index pages.<br/><br/>Overview:<br/><br/>'This concise and approachable introduction to data mining s a mixture of data mining techniques originating from statistics, machine learning and databases, and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit. Author Hongbo Du shares his years of commercial, as well as research-based, experience in the field through extensive examples and real-world case studies, highlighting how data mining solutions provided by software tools are used in practical problem solving. Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing, and text mining. <br/><br/>Features:<br/><br/>' Practical, hands-on instruction in data mining techniques using Weka Provides an easy-to-follow coverage of data mining algorithms via use of pseudo code and abstract data structures together with illustrative examples Real-life case study and examples demonstrating the practical applications of data mining techniques. <br/><br/>Table of Contents:<br/><br/>'1. Introduction 2. Principles of Data Mining 3. Data, Data Pre-processing and Data Exploration 4. Basic Techniques for Cluster Detection 5. Advanced Techniques for Cluster Detection 6. Decision Tree Induction Techniques for Classification 7. Other Techniques for Classification 8. Techniques for Boolean Association Rule Discovery 9. Techniques for Other Types of Association Rules 10. Data Mining in Practice.<br/> |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
11230 |
Topical term or geographic name entry element |
Data Mining |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://www.cengage.co.in/book-list/print/data-mining-techniques-and-applications-an-introduction-23">https://www.cengage.co.in/book-list/print/data-mining-techniques-and-applications-an-introduction-23</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Text Book |
Edition |
23rd |
Classification part |
006.312 |
Call number suffix |
DU |