| 000 -LEADER |
|---|
| fixed length control field |
02212nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
VITAP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20210303161142.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190102b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789332571402 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
VITAP |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23rd Ed. |
| Classification number |
006.312 TAN |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10601 |
| Personal name |
Tan, Pang-Ning |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Introduction to Data Mining / |
| Statement of responsibility, etc. |
Pang-Ning Tan, Michael Steinbach and Vipin Kumar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
Pearson |
| Date of publication, distribution, etc. |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 760p. : ill. ; 24cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
It includes index.<br/><br/>Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples.<br/><br/>Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.<br/><br/><br/>Table of Content<br/><br/>Chapter 1 Introduction<br/>Chapter 2 Data<br/>Chapter 3 Exploring Data<br/>Chapter 4 Classification: Basic Concepts, Decision Trees, and Model Evaluation<br/>Chapter 5 Classification: Alternative Techniques<br/>Chapter 6 Association Analysis: Basic Concepts and Algorithms<br/>Chapter 7 Association Analysis: Advanced Concepts<br/>Chapter 8 Cluster Analysis: Basic Concepts and Algorithms<br/>Chapter 9 Cluster Analysis: Additional Issues and Algorithms<br/>Chapter 10 Anomaly Detection<br/> <br/>Salient Features<br/><br/>1. Provides both theoretical and practical coverage of all data mining topics<br/>2. Includes extensive number of integrated examples and figures<br/>3. Offers instructor resources including solutions for exercises and complete set of lecture slides<br/>4. Assumes only a modest statistics or mathematics background without any requirement of database knowledge<br/>5. Important topics such as predictive modeling, association analysis, clustering, anomaly detection, visualization covered" |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
10598 |
| Topical term or geographic name entry element |
Data Mining; Database Management; Knowledge Acquisition (Expert Systems) |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10599 |
| Personal name |
Steinbach, Michael |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10600 |
| Personal name |
Kumar, Vipin |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://www.pearsoned.co.in/web/books/9789332571402_Introduction-to-Data-Mining_PangNing-Tan.aspx">https://www.pearsoned.co.in/web/books/9789332571402_Introduction-to-Data-Mining_PangNing-Tan.aspx</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Reference Book |
