Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Web Mining: A Synergic Approach Resorting to Classifications and Clustering

Web Mining: A Synergic Approach Resorting to Classifications and Clustering

Kumbhar, V. S.
Kamat, R. K.
Oza, K. S.

Hardcover

Series: Information Science and Technology

DatabasesGeneral Computers

ISBN10: 8793379838
ISBN13: 9788793379831
Publisher: River Publ
Published: Nov 1 2016
Pages: 230
Weight: 1.11
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web usage data. With the emergence of the web as the predominant and converging platform for communication, business and scholastic information dissemination, especially in the last five years, there are ever increasing research groups working on different aspects of web mining mainly in three directions. These are: mining of web content, web structure and web usage. In this context there are good number of frameworks and benchmarks related to the metrics of the websites which is certainly weighty for B2B, B2C and in general in any e-commerce paradigm. Owing to the popularity of this topic there are few books in the market, dealing more on such performance metrics and other related issues. This book, however, omits all such routine topics and lays more emphasis on the classification and clustering aspects of the websites in order to come out with the true perception of the websites in light of its usability.

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