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» K-medoid-style Clustering Algorithms for Supervised Summary ...
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JODL
2006
131views more  JODL 2006»
13 years 7 months ago
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...
Padmavathi Mundur, Yong Rao, Yelena Yesha
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 23 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
14 years 7 months ago
Mining multi-faceted overviews of arbitrary topics in a text collection
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 9 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang