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» Mining for Useful Association Rules Using the ATMS
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 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
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 5 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
BIRTHDAY
2004
Springer
14 years 28 days ago
Psychologische Theorien sind Information-Retrieval-Verfahren
Psychological models of learning, forgetting, and memory processes are presented. These models describe human information processing as the formation and retrieval of associations...
Manfred Wettler
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 11 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...