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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 9 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ACSC
2008
IEEE
15 years 3 months ago
Integrating recommendation models for improved web page prediction accuracy
Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, ebusiness in particular. Differ...
Faten Khalil, Jiuyong Li, Hua Wang
ASUNAM
2009
IEEE
15 years 4 months ago
Modeling a Store's Product Space as a Social Network
A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
Troy Raeder, Nitesh V. Chawla
BIBE
2007
IEEE
176views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
HICCUP: Hierarchical Clustering Based Value Imputation using Heterogeneous Gene Expression Microarray Datasets
Abstract—A novel microarray value imputation method, HICCUP1 , is presented. HICCUP improves upon existing value imputation methods in the several ways. (1) By judiciously integr...
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo...
DATAMINE
1999
152views more  DATAMINE 1999»
14 years 9 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen