9780470849064-0470849061-Modeling the Internet and the Web: Probabilistic Methods and Algorithms

Modeling the Internet and the Web: Probabilistic Methods and Algorithms

ISBN-13: 9780470849064
ISBN-10: 0470849061
Edition: 1
Author: Pierre Baldi, Paolo Frasconi, Padhraic Smyth
Publication date: 2003
Publisher: Wiley
Format: Hardcover 306 pages
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Book details

ISBN-13: 9780470849064
ISBN-10: 0470849061
Edition: 1
Author: Pierre Baldi, Paolo Frasconi, Padhraic Smyth
Publication date: 2003
Publisher: Wiley
Format: Hardcover 306 pages

Summary

Modeling the Internet and the Web: Probabilistic Methods and Algorithms (ISBN-13: 9780470849064 and ISBN-10: 0470849061), written by authors Pierre Baldi, Paolo Frasconi, Padhraic Smyth, was published by Wiley in 2003. With an overall rating of 3.6 stars, it's a notable title among other Internet, Groupware, & Telecommunications (Networking & Cloud Computing, Internet & Social Media, Bioinformatics, Biological Sciences) books. You can easily purchase or rent Modeling the Internet and the Web: Probabilistic Methods and Algorithms (Hardcover) from BooksRun, along with many other new and used Internet, Groupware, & Telecommunications books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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)

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