Usage and Research Challenges in the Area of Frequent Pattern in Data Mining

Kannan, P. Alagesh; Ramaraj, E.

doi:10.9790/0661-1320813

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2016

2022

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“…Latheefa & Rohini (2013) [5] developed a Custom-Built Apriori tool to discover interesting frequent access pattern in Web usage data. Alagesh & Ramaraj (2013) [6] discussed the usage of frequent user access pattern and analyzed the gap between existing technology and requirement. Meera & Firoz (2014) [7] proposed hybird approach of FP-Growth algorithm and Decision Tree.…”

Section: Literature Reviewmentioning

confidence: 99%

Discovery of Frequent Usage Pattern for Web Data to Optimized Web based Applications

Kaur¹,

Garg²

2016

IJCA

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The traffic on WWW is increasing at a rapid rate due to users interaction with web sites, these activities contributes to enormous information which is maintained in Web log file. Web usage mining plays an important role in discovering frequent pattern from Web data, that helps to better serve the need of Web based applications. In present research work, researcher finds out different user and their session, which help in identifying unique user's navigational path from preprocessed Web log data. Further, researcher also proposed Modified Apriori algorithm which helps in extracting frequent usage pattern using average support.

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Section: Literature Reviewmentioning

confidence: 99%