Modeling the Internet and the Web
Probabilistic Methods and Algorithms
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Despite its haphazard growth, the Web hides powerful underlying regularities - from the organization of its links to the patterns found in its use by millions of users. Probabilistic modelling allows many of these regularities to be predicted on the basis of theoretical models based on statistical methodology. Among these applications are data mining and bioinformatics. This text has been designed to fill a specific niche and will cover the most important aspects of the Internet at the information level using a modern unified mathematical/probabilistic/graphical models/machine learning treatment. The book will not deal with the physical layer, or the protocol layer of the Internet. Rather it will focus on the information and application layers, as well as some of the emerging properties of the Internet.
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)
_ 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)