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JCIT
2010
174views more  JCIT 2010»
13 years 2 months ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram
CIKM
2003
Springer
14 years 28 days ago
Question answering from the web using knowledge annotation and knowledge mining techniques
We present a strategy for answering fact-based natural language questions that is guided by a characterization of realworld user queries. Our approach, implemented in a system cal...
Jimmy J. Lin, Boris Katz
ACSW
2004
13 years 9 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
WWW
2010
ACM
14 years 2 months ago
On the high density of leadership nuclei in endorsement social networks
In this paper we study the community structure of endorsement networks, i.e., social networks in which a directed edge u → v is asserting an action of support from user u to use...
Guillermo Garrido, Francesco Bonchi, Aristides Gio...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
13 years 12 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...