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KDD
2010
ACM
232views Data Mining» more  KDD 2010»
13 years 9 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
WWW
2008
ACM
14 years 6 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
APVIS
2010
13 years 3 months ago
Interactive local clustering operations for high dimensional data in parallel coordinates
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 3 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
EOR
2007
96views more  EOR 2007»
13 years 5 months ago
A fast method for discovering critical edge sequences in e-commerce catalogs
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...