Web data mining. Exploring hyperlinks, contents, and usage data.

Autor/in	Liu, Bing
Titel	Web data mining. Exploring hyperlinks, contents, and usage data.
Quelle	Berlin u.a.: Springer (2007), XIX, 532 S. PDF als Volltext (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Reihe	Data-centric systems and applications
Beigaben	Illustrationen; Literaturangaben S. 485-515
Zusatzinformation	Inhaltsverzeichnis Inhaltsangabe
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	3-540-37881-2; 978-3-540-37881-5
DOI	10.1007/978-3-540-37882-2
Schlagwörter	Hypertext; Algorithmus; Analyse; Daten; Inhalt; Internet
Abstract	Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. [This book is] a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. [This] book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2008/1