نتایج جستجو برای: Rule discovery

تعداد نتایج: 285936  

Journal: :Data Mining and Knowledge Discovery 2005

Journal: :journal of advances in computer research 2013
farzad soleymani sabzchi shahram jamali maryam jafari

due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...

Journal: :The Analysis of Verbal Behavior 1990

1996
Mika Klemettinen Heikki Mannila Pirjo Ronkainen Hannu Toivonen

The papers in the series are intended for internal use and are distributed by the author. Copies may be ordered from the library of Department of Computer Science. Abstract Telecommunication networks produce large amounts of alarm information daily. This data contains potentially valuable knowledge about the network. We present a methodology for the analysis of large telecommunication networks ...

Journal: :journal of advances in computer research 2013
maryam jafari shahram jamali farzad soleymani sabzchi

web usage mining (wum) is the automatic discovering of hidden informationof user access pattern from the web log data. frequent pattern discovery is one ofthe main techniques in wum that can be used to implement recommender systems,forecast user`s navigational behaviour, and personalize web sites. many algorithmshave been suggested on obtaining frequent user navigation patterns. this paperprese...

Journal: :Science China Information Sciences 2014

Journal: :Journal of Mathematics and Computer Science 2014

Journal: :The Japanese Journal of Educational Psychology 1993

2004
Geoffrey I. Webb

Association rule discovery and other exploratory rule discovery techniques explore large search spaces of potential rules to find those that appear interesting by some user-selected criterion of interestingness. Due to the large number of rules considered, they suffer from an extreme risk of type-1 error, finding rules that appear to satisfy the interestingness criteria on the sample data only ...

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