Glazier, Joisse, <br/><br/>
Data mining techniques / 
Joisse Glazier. 
 - United States :  AcademiQ Infomedia LLC,   2022. 
 - 297 pages :  color illustrations, tables ;  23 cm. 
<br/><br/>Includes glossary and index. 
<br/><br/>Chapter 1 Introduction 1 -- Chapter 2 Getting to know your data 39 -- Chapter 3 Data preprocessing 83 -- Chapter 4 Data warehousing and online analytical processing 125 -- Chapter 5 Data cube technology 187 -- Chapter 6 Mining frequently patterns, associations, and correlations: basic concepts and methods 243 -- Chapter 7 Advanced pattern mining 279 -- Chapter 8 Classification: basic concepts 327 -- Chapter 9 Classification: advanced methods 393 -- Chapter 10 Cluster analysis: Basic comcepts and methods 443 -- Chapter 11 Advanced cluster analysis 497 -- Chapter 12 Outlier detection 543 -- Chapter 13 Data mining trends and research frontiers 585 -- Bibliography 633 -- Index 673 
<br/><br/> "Authors examine the principles and methods of data mining. Written from a database perspective, they offer the reader a theoretical orientation and practical instruction that can be applied directly to projects." 
<br/><br/><label>ISBN: </label>9781645341284 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.
<br/><br/><label>Dewey Class. No.: </label>006.312  / G553d