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KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 5 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
147
Voted
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
16 years 5 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
166
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 5 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 5 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
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