Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Wiley, 2003, ISBN: 0-470-84906-1. Book's page at Wiley. Sample chapter: Text Analysis (pdf). References (with hyperlinks when available). Data sets and software.
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Modeling the Internet and the Web : Probabilistic Methods and Algorithms | ibook.ics.uci.edu Reviews
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Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Wiley, 2003, ISBN: 0-470-84906-1. Book's page at Wiley. Sample chapter: Text Analysis (pdf). References (with hyperlinks when available). Data sets and software.
ibook.ics.uci.edu
Table of contents: Modeling the Internet and the Web : Probabilistic Methods and Algorithms
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Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Probability and Learning from a Bayesian Perspective. Parameter Estimation from Data. A simple die example. Mixture Models and the Expectation Maximization Algorithm. Learning directed graphical models from data. Scale-free properties (80/20 rule). Applications to languages: Zipf and Heaps laws. Origin of power-law distributions and Fermi's model. General structure of an HTML document. Resource identifiers: URI, URL, and URN. Empiri...
Bibliography: Modeling the Internet and the Web : Probabilistic Methods and Algorithms
http://ibook.ics.uci.edu/references.html
Bibliography of the Book. Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Several cited papers are online and can be retrieved following the provided links. Legend:. Html], [.pdf], [.ps], [.ps.Z], [.ps.gz]: author's version of the paper, in the specified format. CS]: document page at CiteSeer. Pub]: document page at publisher's site. Author's links may become broken. In these cases papers might be still retrievable from the cache at CiteSeer. Pp 332343. [ .ps.Z. 046135. [ Pub.
Errata: Modeling the Internet and the Web : Probabilistic Methods and Algorithms
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Errata corrige of the Book. Modeling the Internet and the Web. Probabilistic Methods and Algorithms. We very much appreciate reports of any kind of errors/omissions. Please click one of the authors' names above to reach his webpage and send comments. The line before Equation 3.1 should read. Small, the number of. Neighbors has a Poisson distribution with mean. The second to last line before subsection 3.2.2 should read. Equation 3.7 should read. Corrected version of Figure 4.3. Should be 0, not 1.
Slides: Modeling the Internet and the Web : Probabilistic Methods and Algorithms
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Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Lecture 1: Basic WWW Technologies (based on Chapter 3). Lecture 2: Web Graphs (based on Chapter 3). Lecture 3: Text Analysis (based on Chapter 4). Lecture 4: Link Analysis (based on Chapter 5). Lecture 5: Advanced Crawling Techniques (based on Chapter 6). Lecture 6: Modeling and Understanding Human Behavior (based on chapter 7). Lecture 7: Future Internet Technologies (not covered in the book).
Data sets: Modeling the Internet and the Web : Probabilistic Methods and Algorithms
http://ibook.ics.uci.edu/datasets.html
Data sets for the Book. Modeling the Internet and the Web. Probabilistic Methods and Algorithms. We very much appreciate the suggestion of pointers to other related data sets and research software. Please click one of the authors' names above to reach his webpage and send comments. Prescript (PostScript to text) utility. Maintained at the New Zealand Digital Library website. The stemming algorithm of M. Porter. Maintained by the author. The TREC test collection. The Reuters-21578 data set.
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Modeling the Internet and the Web : Probabilistic Methods and Algorithms
Modeling the Internet and the Web. Probabilistic Methods and Algorithms. Wiley, 2003, ISBN: 0-470-84906-1. Book's page at Wiley. Sample chapter: Text Analysis (pdf). References (with hyperlinks when available). Data sets and software.
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