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» The Challenges of Automatic Summarization
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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 9 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
VLDB
2005
ACM
196views Database» more  VLDB 2005»
14 years 2 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
RIAO
2007
13 years 10 months ago
Capturing Sentence Prior for Query-Based Multi-Document Summarization
In this paper, we have considered a real world information synthesis task, generation of a fixed length multi document summary which satisfies a specific information need. This...
Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Va...
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
14 years 3 months ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
IPM
2007
143views more  IPM 2007»
13 years 8 months ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...