Výsledky vyhledávání - "Web usage data"

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Binary Particle Swarm Optimization based Biclustering of Web usage Data

Autor: Rathipriya, R., Thangavel, K., Bagyamani, J.

Web mining is the nontrivial process to discover valid, novel, potentially useful knowledge from web data using the data mining techniques or methods. It may give information that is useful for improving the services offered by web portals and inform

Externí odkaz: http://arxiv.org/abs/1108.0748

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Construction of Community Web Directories based on Web usage Data

Autor: Sandhyarani, Ramancha, Rajkumar, Bodakuntla, Gyani, Jayadev

Publikováno v: Advanced Computing: An International Journal (ACIJ), Vol.3, No.2, March 2012

This paper support the concept of a community Web directory, as a Web directory that is constructed according to the needs and interests of particular user communities. Furthermore, it presents the complete method for the construction of such directo

Externí odkaz: http://arxiv.org/abs/1204.2225

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Clustering Dynamic Web Usage Data

Autor: Da Silva, Alzennyr, Lechevallier, Yves, Rossi, Fabrice, De Carvahlo, Francisco De A. T.

Publikováno v: Innovative Applications in Data Mining (2009) 71-82

Most classification methods are based on the assumption that data conforms to a stationary distribution. The machine learning domain currently suffers from a lack of classification techniques that are able to detect the occurrence of a change in the

Externí odkaz: http://arxiv.org/abs/1201.0963

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Akademický článek

Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method

Autor: Adeniyi, D.A., Wei, Z., Yongquan, Y.

Publikováno v: In Applied Computing and Informatics January 2016 12(1):90-108

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Akademický článek

Maintaining Requirements Using Web Usage Data

Autor: Garcia, Jorge Esparteiro, Paiva, Ana C.R.

Publikováno v: In Procedia Computer Science 2016 100:626-633

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A Survey on Preprocessing Methods for Web Usage Data

Autor: Chitraa, V., Davamani, Dr. Antony Selvdoss

Publikováno v: IJCSIS, Vol. 7 No. 3, March 2010

World Wide Web is a huge repository of web pages and links. It provides abundance of information for the Internet users. The growth of web is tremendous as approximately one million pages are added daily. Users' accesses are recorded in web logs. Bec

Externí odkaz: http://arxiv.org/abs/1004.1257

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Akademický článek

Comparative Performance of Interestingness Measures to Identify Redundant and Non-informative Rules from Web Usage Data

Autor: Dilip Singh Sisodia, Riya Singhal, Vijay Kandal

Publikováno v: International Journal of Technology, Vol 9, Iss 1, Pp 201-211 (2018)

Association rules are used to predict frequent web user behaviors from web usage data. These rules are formed using frequent items. The number of association rules increases as the number of frequent items increases and produces several redundant and

Externí odkaz: https://doaj.org/article/5321bc6b1b3e46878e139bedb4d39704

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