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» CURE: An Efficient Clustering Algorithm for Large Databases
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116
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ICDE
2007
IEEE
152views Database» more  ICDE 2007»
15 years 10 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...
215
Voted
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
16 years 3 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...
ICB
2007
Springer
159views Biometrics» more  ICB 2007»
15 years 7 months ago
Coarse Iris Classification by Learned Visual Dictionary
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
Xianchao Qiu, Zhenan Sun, Tieniu Tan
118
Voted
SIGMETRICS
2008
ACM
113views Hardware» more  SIGMETRICS 2008»
15 years 3 months ago
Layered interval codes for tcam-based classification
Ternary content-addressable memories (TCAMs) are increasingly used for high-speed packet classification. TCAMs compare packet headers against all rules in a classification database...
Anat Bremler-Barr, David Hay, Danny Hendler, Boris...
125
Voted
EDBT
2008
ACM
122views Database» more  EDBT 2008»
16 years 3 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...