Automated Database Schema Design Using Mined Data Dependencies (1998)


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by S. K. M. Wong , C. J. Butz , Y. Xiang
Venue:J. Amer. Soc. Inform. Sci
Citations:6 - 0 self

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23 A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks – Y. Xiang, S.K.M. Wong, N. Cercone - 1995
2 The Relational Database Theory of Bayesian Networks – Cory James Butz - 2000
2 A Method for Constructing the Dependency Structure of a Probabilistic Network – S. K. M. Wong, C. J. Butz - 1998
92 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
1 Learning Belief Networks in Pseudo-independent Domains – Yang Xiang, C Fl Yang Xiang, Ss A, Y. Xiang - 1996
9 A Bayesian Approach to User Profiling In Information Retrieval – S. K. M. Wong, C. J. Butz - 2000
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
28 Critical Remarks on Single Link Search in Learning Belief Networks – Yang Xiang, Y. Xiang, S.K.M.Wong, N. Cercone - 1996
71 Learning Bayesian Networks by Genetic Algorithms. A case study in the prediction of survival in malignant skin melanoma – P. Larranaga, B. Sierra, M. J. Gallego, M. J. Michelena, J. M. Picaza - 1997
4 Parallel Learning of Belief Networks in Large and Difficult Domains – Yang Xiang, Y. Xiang, Y. Xiang, Y. Xiang, T. Chu, T. Chu - 1999
in Large and Difficult Domains – Y. Xiang, T. Chu, Y. Xiang, Y. Xiang, T. Chu
29 A Method for Implementing a Probabilistic Model as a Relational Database – S. K. M. Wong, C. J. Butz, Y. Xiang - 1995
5 Learning Conditional Independence Relations from a Probabilistic Model – Yang Xiang, Y. Xiang, S.K.M. Wong - 1994
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
27 A new approach for learning belief networks using independence criteria – Luis M. De Campos, Juan F. Huete - 2000
13 Predicting the Survival in Malignant Skin Melanoma Using Bayesian Networks Automatically Induced by Genetic Algorithms - An Empirical Comparision Between Different Approaches – Basilio Sierra, Pedro LarraƱaga - 1998
Bayesian AI Tutorial – Kevin B. Korb, Ann E. Nicholson
1073 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
26 Constructing the Dependency Structure of a Multiagent Probabilistic Network – S. K. Michael Wong, Cory J. Butz - 2001