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» The Challenges of Automatic Summarization
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CIDM
2007
IEEE
14 years 3 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
MM
2010
ACM
178views Multimedia» more  MM 2010»
13 years 9 months ago
Topical summarization of web videos by visual-text time-dependent alignment
Search engines are used to return a long list of hundreds or even thousands of videos in response to a query topic. Efficient navigation of videos becomes difficult and users ofte...
Song Tan, Hung-Khoon Tan, Chong-Wah Ngo
NLUCS
2004
13 years 10 months ago
Making Cognitive Summarization Agents Work In A Real-World Domain
The advantage of cognitively motivated automatic summarizing is that human users can better understand what happens. This improves acceptability. The basic empirical finding in hum...
Brigitte Endres-Niggemeyer, Elisabeth Wansorra
JUCS
2010
213views more  JUCS 2010»
13 years 7 months ago
Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization
: Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are ...
Gamgarn Somprasertsri, Pattarachai Lalitrojwong
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
13 years 10 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi