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» Summarising Data by Clustering Items
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SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 8 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
WWW
2007
ACM
14 years 8 months ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
IRAL
2003
ACM
14 years 19 days ago
An approach for combining content-based and collaborative filters
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
Qing Li, Byeong Man Kim
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
14 years 1 months ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme