Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

Bing Liu


Web mining goals to find worthy details and information from internet links, web page contents, and utilization information. even supposing net mining makes use of many traditional facts mining thoughts, it's not basically an software of conventional info mining as a result of semi-structured and unstructured nature of the net facts. the sector has additionally built lots of its personal algorithms and methods.

Liu has written a finished textual content on internet mining, which is composed of 2 elements. the 1st half covers the information mining and computing device studying foundations, the place the entire crucial suggestions and algorithms of knowledge mining and desktop studying are awarded. the second one half covers the most important themes of net mining, the place internet crawling, seek, social community research, dependent facts extraction, details integration, opinion mining and sentiment research, internet utilization mining, question log mining, computational ads, and recommender structures are all handled either in breadth and intensive. His ebook therefore brings the entire similar thoughts and algorithms jointly to shape an authoritative and coherent text. 

The publication deals a wealthy mixture of thought and perform. it truly is compatible for college kids, researchers and practitioners drawn to net mining and information mining either as a studying textual content and as a reference publication. Professors can with ease use it for periods on facts mining, internet mining, and textual content mining. extra instructing fabrics comparable to lecture slides, datasets, and applied algorithms can be found on-line.

Show sample text content

Download sample