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KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 7 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
DCC
2006
IEEE
16 years 6 months ago
Low-Complexity Compression of Short Messages
We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of s...
Stephan Rein, Clemens Gühmann, Frank H. P. Fi...
CIKM
2009
Springer
16 years 1 months ago
A query language for analyzing networks
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
Anton Dries, Siegfried Nijssen, Luc De Raedt
WINE
2005
Springer
268views Economy» more  WINE 2005»
16 years 9 days ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
IDEAS
1999
IEEE
166views Database» more  IDEAS 1999»
15 years 11 months ago
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems
In this paper, we introduce a probabilistic relational data model as the basis for developing multi-agent probabilistic reasoning systems. Since our model subsumes the traditional...
Cory J. Butz, S. K. Michael Wong