Modeling the Internet and the Web: Probabilistic Methods and Algorithms / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
$95.18
Used and New from Other Sellers
Used and New from Other Sellers
from $42.02
Usually ships in 1-2 business days
(Save 64%)
Other sellers (Hardcover)
  • All (10) from $42.02   
  • New (4) from $101.08   
  • Used (6) from $42.02   

Overview

Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet.

 Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level.
 Takes a modern approach based on mathematical, probabilistic, and graphical modeling.
 Provides an integrated presentation of theory, examples, exercises and applications.
 Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web.

Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.

"This book is fascinating!" - David Hand (Imperial College, UK)

"This book provides an extremely useful introduction to the intellectually stimulating problems of data mining electronic business." - Andreas S. Weigend (Chief Scientist, Amazon.com)

Read More Show Less

Editorial Reviews

From the Publisher
"…I congratulate the authors on a very well-researched and well-written publication." (Technometrics, August 2004, Vol. 46, No. 3)

“…fascinating …I highly recommend this book…” (Short Book Reviews, August 2004)

“…a very well-researched and well-written publication.” (Technometrics, August 2004) 

Read More Show Less

Product Details

Read an Excerpt

Click to read or download

Read More Show Less

Table of Contents

Preface.

1 Mathematical Background.

1.1 Probability and Learning from a Bayesian Perspective.

1.2 Parameter Estimation from Data.

1.3 Mixture Models and the Expectation Maximization Algorithm.

1.4 Graphical Models.

1.5 Classification.

1.6 Clustering.

1.7 Power-Law Distributions.

1.8 Exercises.

2 Basic WWW Technologies.

2.1 Web Documents.

2.2 Resource Identifiers: URI, URL, and URN.

2.3 Protocols.

2.4 Log Files.

2.5 Search Engines.

2.6 Exercises.

3 Web Graphs.

3.1 Internet and Web Graphs.

3.2 Generative Models for the Web Graph and Other Networks.

3.3 Applications.

3.4 Notes and Additional Technical References.

3.5 Exercises.

4 Text Analysis.

4.1 Indexing.

4.2 Lexical Processing.

4.3 Content-Based Ranking.

4.4 Probabilistic Retrieval.

4.5 Latent Semantic Analysis.

4.6 Text Categorization.

4.7 Exploiting Hyperlinks.

4.8 Document Clustering.

4.9 Information Extraction.

4.10 Exercises.

5 Link Analysis.

5.1 Early Approaches to Link Analysis.

5.2 Nonnegative Matrices and Dominant Eigenvectors.

5.3 Hubs and Authorities: HITS.

5.4 PageRank.

5.5 Stability.

5.6 Probabilistic Link Analysis.

5.7 Limitations of Link Analysis.

6 Advanced Crawling Techniques.

6.1 Selective Crawling.

6.2 Focused Crawling.

6.3 Distributed Crawling.

6.4 Web Dynamics.

7 Modeling and Understanding Human Behavior on the Web.

7.1 Introduction.

7.2 Web Data and Measurement Issues.

7.3 Empirical Client-Side Studies of Browsing Behavior.

7.4 Probabilistic Models of Browsing Behavior.

7.5 Modeling and Understanding Search Engine Querying.

7.6 Exercises.

8 Commerce on the Web: Models and Applications.

8.1 Introduction.

8.2 Customer Data on theWeb.

8.3 Automated Recommender Systems.

8.4 Networks and Recommendations.

8.5 Web Path Analysis for Purchase Prediction.

8.6 Exercises.

Appendix A: Mathematical Complements.

A.1 Graph Theory.

A.2 Distributions.

A.3 Singular Value Decomposition.

A.4 Markov Chains.

A.5 Information Theory.

Appendix B: List of Main Symbols and Abbreviations.

References.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)