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SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
14 years 11 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
123
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CIVR
2008
Springer
220views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Web-based information content and its application to concept-based video retrieval
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
Alexander Haubold, Apostol Natsev
ICDE
2007
IEEE
152views Database» more  ICDE 2007»
15 years 4 months ago
Automatically Identifying Known Software Problems
Re-occurrence of the same problem is very common in many large software products. By matching the symptoms of a new problem to those in a database of known problems, automated dia...
Natwar Modani, Rajeev Gupta, Guy M. Lohman, Tanvee...
CIKM
2006
Springer
14 years 11 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 3 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...