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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 23 hour 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...
118
Voted
HPCC
2005
Springer
15 years 5 months ago
High Performance Subgraph Mining in Molecular Compounds
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
Giuseppe Di Fatta, Michael R. Berthold
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 22 hour ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
16 years 23 hour ago
Context-aware query suggestion by mining click-through and session data
Query suggestion plays an important role in improving the usability of search engines. Although some recently proposed methods can make meaningful query suggestions by mining quer...
Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen L...
IGARSS
2010
14 years 9 months ago
Geospatiotemporal data mining in an early warning system for forest threats in the United States
We investigate the potential of geospatiotemporal data mining of multi-year land surface phenology data (250 m Normalized Difference Vegetation Index (NDVI) values derived from th...
Forrest M. Hoffman, Richard Tran Mills, Jitendra K...