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» Hierarchical Document Clustering using Frequent Itemsets
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ICIP
2006
IEEE
14 years 9 months ago
Extraction of Significant Video Summaries by Dendrogram Analysis
In the current video analysis scenario, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introdu...
Sergio Benini, Aldo Bianchetti, Riccardo Leonardi,...
CGA
2006
13 years 7 months ago
The Distance-Similarity Metaphor in Region-Display Spatializations
n explore and understand abstract information spaces as if they were real geographic spaces. According to the distance-similarity metaphor1 one of the most popular spatial metaphor...
Sara Irina Fabrikant, Daniel R. Montello, David M....
CIKM
2004
Springer
14 years 26 days ago
A practical web-based approach to generating topic hierarchy for text segments
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
Shui-Lung Chuang, Lee-Feng Chien
CIKM
2001
Springer
13 years 12 months ago
PowerDB-IR - Information Retrieval on Top of a Database Cluster
Our current concern is a scalable infrastructure for information retrieval (IR) with up-to-date retrieval results in the presence of frequent, continuous updates. Timely processin...
Torsten Grabs, Klemens Böhm, Hans-Jörg S...
ICWSM
2008
13 years 9 months ago
Mining and Visualizing Online Web Content Using BAM: Brand Association Map
In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conv...
Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jon...