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Mining the Web: Discovering Knowledge from Hypertext Data

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I still gave it 5 stars though the effective page number is 326. There are mainly 3 sections in the book --- the first section is 79 pages walks you thru the basic structure of a web search engine, the 2nd one talks about the learning process (clustering, classification and so on), yes, I know it is AI related stuffs, but this book does not have too much equation and is quite readable. From page 203 is the 3rd section --- application which includes page ranking and other interesting topics.

Author(s): Soumen Chakrabarti
Edition: 1
Publisher: Morgan Kaufmann
Year: 2002

Language: English
Pages: 364

Mining.the.Web......Page 1
FOREWORD......Page 7
PREFACE......Page 16
chapter 1 INTRODUCTION
......Page 20
part i INFRASTRUCTURE......Page 34
chapter 2 CRAWLING THE WEB......Page 36
chapter 3 WEB SEARCH AND INFORMATION RET RIEVAL......Page 64
part ii LEARNING......Page 96
chapter 4 SIMILARITY AND CLUSTERING
......Page 98
chapter 5 SUPERVISED LEARNING
......Page 144
chapter 6 SEMISUPERVISED LEARNING
......Page 196
part iii APPLICATIONS
......Page 220
chapter 7 SOCIAL NETWORK ANALYSIS
......Page 222
chapter 8 RESOURCE DISCOVERY......Page 274
chapter 9 THE FUTURE OF WEB MINING
......Page 308
REFERENCES......Page 326
I N D E X......Page 345