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PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
16 years 13 days ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
CSE
2009
IEEE
15 years 11 months ago
Processing Approximate Moving Range Queries in Mobile Sensor Environments
— The ubiquity of mobile devices has led to a rising demand for location-based services and applications. A major part of these services is based on the location-detection capabi...
Antoniya Petkova, Kien A. Hua, Alexander J. Aved
CIKM
2009
Springer
15 years 11 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
VLDB
1999
ACM
188views Database» more  VLDB 1999»
15 years 10 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
15 years 10 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma