Efficient Personalized Web Mining: Utilizing the Most Utilized Data

Grace, L. K. Joshila; Maheswari, V. Uma; Nagamalai, Dhinaharan

doi:10.1007/978-3-642-22555-0_43

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Lk Joshila Grace Vmaheswari Dhinaharan Nagamalai Presen1

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2013

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“…The Most Utilized Data [6]. Concept-based user profiling methods aim at capturing users' conceptual requirements.…”

Section: Lk Joshila Grace Vmaheswari Dhinaharan Nagamalai Presenmentioning

confidence: 99%

Review on Classification of Web Log Data using CART Algorithm

Chand¹,

Chauhan²,

Shrivastava³

2013

IJCA

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Web Usage Mining (WUM) is the process of extracting knowledge from Web user behavior on web, who are actively involved in accessing the web data by exploiting Data Mining techniques. This knowledge can be used for various purposes such as personalization, system development and site improvement. This knowledge discovery is also useful for web designer to quickly respond to the web user needs. The researcher has developed no of classification technique to extract the user log data to find the interested web user. This paper reviews the various existing classification techniques for web user data mining and presents a comparative analysis of these classification techniques.

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“…The Most Utilized Data [6]. Concept-based user profiling methods aim at capturing users' conceptual requirements.…”

Section: Lk Joshila Grace Vmaheswari Dhinaharan Nagamalai Presenmentioning

confidence: 99%