Search Engines, Link Analysis, and User's Web Behavior: A Unifying Web Mining Approach / Edition 1

by George Meghabghab, Abraham Kandel

Overview

WEB MINING Link Analysis Search Engines User’s Web Behavior HITS Algorithm Fuzzy Cognitive Map Radial Basis Function PageRank Algorithm Interior Point Method Fuzzy Bags Rgeression Models Rough Sets Information Theory Thisbookpresentsaspecificand unified approach framework to three- jor components: Search Engines Performance, Link Analysis, and User’s Web Behavior. Theexplosivegrowthandthewidespreadaccessibilityof theWWW has led to a surge of research activity in the area of information retrieval on VI Preface the WWW. The three aspects of web mining follow the taxonomy of the above diagram: Link Analysis, Search engines, and User’s web behavior are considered in the unifying approach. The book is organized in three sections as follows: 1. In section I of the book (chapters 2–4) we study Link Analysis within the hubs and authorities framework. Link Analysis is the science of hyperlink structures ranking, which are used to determine the relative authority of a Web page and produce improved algorithms for the ranking of Web search results. We use the HITS Algorithm developed by Kleinberg and we propose to study HITS in a 2-D new space: In-degree and Out Degree variables. After we categorize each web page into a specific toplogy we study the impact of each web topology on HITS in the new 2-D space. We describe why HITS does not fare well in almost all the different topologies of web graphs. We also describe the PageRank Algorithm in this new 2-D space.

Product Details

ISBN-13:	9783642096167
Publisher:	Springer Berlin Heidelberg
Publication date:	12/08/2010
Series:	Studies in Computational Intelligence , #99
Edition description:	Softcover reprint of hardcover 1st ed. 2008
Pages:	270
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Basic WWW Technologies.- Web Graphs.- Link Analysis of Web Graphs.- PageRank Algorithm Applied to Web Graphs.- Shastic Simulations Of Search Engines.- Modeling Human Behavior on the Web.