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» An Empirical Study on Web Mining of Parallel Data
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PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
KDD
2009
ACM
237views Data Mining» more  KDD 2009»
15 years 10 months ago
Exploring social tagging graph for web object classification
This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable semantic categories has long ...
Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
15 years 1 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
WSDM
2009
ACM
187views Data Mining» more  WSDM 2009»
15 years 4 months ago
Speeding up algorithms on compressed web graphs
A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
Chinmay Karande, Kumar Chellapilla, Reid Andersen
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen