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AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 1 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
ICDM
2010
IEEE
235views Data Mining» more  ICDM 2010»
14 years 7 months ago
Content-Based Methods for Predicting Web-Site Demographic Attributes
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...
Santosh Kabbur, Eui-Hong Han, George Karypis
CN
2000
63views more  CN 2000»
14 years 9 months ago
Squeal: a structured query language for the Web
The Web contains an abundance of useful semi-structured information that can and should be mined. Types of structure include hyperlinks between pages, structure within hypertext p...
Ellen Spertus, Lynn Andrea Stein
KDD
2009
ACM
143views Data Mining» more  KDD 2009»
15 years 10 months ago
Optimizing web traffic via the media scheduling problem
Website traffic varies through time in consistent and predictable ways, with highest traffic in the middle of the day. When providing media content to visitors, it is important to...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 10 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri