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DCC
2005
IEEE
16 years 6 months ago
Efficient Alphabet Partitioning Algorithms for Low-Complexity Entropy Coding
We analyze the technique for reducing the complexity of entropy coding consisting in the a priori grouping of the source alphabet symbols, and in dividing the coding process in tw...
Amir Said
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 3 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
16 years 3 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
ICWS
2009
IEEE
16 years 3 months ago
Towards Automated RESTful Web Service Composition
Emerging as the popular choice for leading Internet companies to expose internal data and resources, RESTful Web services are attracting increasing attention in the industry. Whil...
Haibo Zhao, Prashant Doshi
ALT
2004
Springer
16 years 3 months ago
Learning r-of-k Functions by Boosting
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
Kohei Hatano, Osamu Watanabe