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Produktbild: Web Data Mining

Web Data Mining Exploring Hyperlinks, Contents, and Usage Data

Aus der Reihe Data-Centric Systems and Applications

59,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2013

Abbildungen

XX, 624 p.

Verlag

Springer Berlin

Seitenzahl

624

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

961 g

Auflage

Second Edition 2011

Sprache

Englisch

ISBN

978-3-642-26891-5

Beschreibung

Rezension

From the reviews:

"This is a textbook about data mining and its application to the Web. […] Liu succeeds in helping readers appreciate the key role that data mining and machine learning play in Web applications. […] It also motivates the student by adding immediacy and relevance to the concepts and algorithms described. I liked the way the concepts are introduced in a stepwise manner. […] I also appreciated the bibliographical notes at the end of each chapter."
ACM Computing Reviews, W. Hu, , January 2009

From the reviews of the second edition:

“Liu (Univ. of Illinois, Chicago) discusses all three types of Web mining--structure, content, and usage--in the technology’s efforts to glean information from hyperlinks, Web page content, and usage logs. […] Practical examples complement the discussions throughout the text, and each chapter includes useful ‘Bibliographic Notes’ and an extensive bibliography. […] Liu states that his intended audience includes bothundergraduate and graduate students, but notes that researchers and Web programmers could benefit from this text as well. Summing Up: Recommended. Upper-division undergraduates through professionals.”
J. Johnson, Choice, Vol. 49 (5), January 2012

"[...] Liu's
book provides a comprehensive, self-contained introduction to the major data mining techniques and their use in Web data mining. [...]
Professionals and researchers alike will find this excellent book handy as a reference. Its extensive lists of references at the end of each chapter provide hundreds of pointers for further reading. As a textbook, it is also suitable for advanced undergraduate and graduate courses on Web mining; it is highly selfcontained and includes many easy-to-understand examples that will help readers grasp the key ideas behind current Web data mining techniques."
ACM Computing Reviews, Fernando Berzal, February 2012

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.08.2013

Abbildungen

XX, 624 p.

Verlag

Springer Berlin

Seitenzahl

624

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

961 g

Auflage

Second Edition 2011

Sprache

Englisch

ISBN

978-3-642-26891-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Web Data Mining
  • 1. Introduction.- Part I: Data Mining Foundations.- 2. Association Rules and Sequential Patterns.- 3. Supervised Learning.- 4. Unsupervised Learning.- 5. Partially Supervised Learning.- Part II: Web Mining.- 6. Information Retrieval and Web Search.- 7. Social Network Analysis.- 8. Web Crawling.- 9. Structured Data Extraction: Wrapper Generation.- 10. Information Integration.- 11. Opinion Mining and Sentiment Analysis.- 12. Web Usage Mining.