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Padhraic Smyth
Padhraic Smyth
Professor, Computer Science, University of California Irvine
ics.uci.edu의 이메일 확인됨 - 홈페이지
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From data mining to knowledge discovery: An overview.
UM Fayyad, G Piatetsky-Shapiro, P Smyth
Advances in Knowledge Discovery and Data Mining, 1-34, 1996
19456*1996
Principles of Data Mining
DJ Hand, H Mannila, P Smyth
MIT Press, 2001
7272*2001
The KDD process for extracting useful knowledge from volumes of data
U Fayyad, G Piatetsky-Shapiro, P Smyth
Communications of the ACM 39 (11), 27-34, 1996
34151996
The author-topic model for authors and documents
M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth
Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence …, 2004
2040*2004
Knowledge discovery and data mining: towards a unifying framework.
UM Fayyad, G Piatetsky-Shapiro, P Smyth
ACM Conference on Knowledge Discovery and Data Mining (KDD) 96, 82-88, 1996
18371996
Rule discovery from time series
G Das, KI Lin, H Mannila, G Renganathan, P Smyth
KDD 98 (1), 16-22, 1998
10341998
Probabilistic author-topic models for information discovery
M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
8612004
A spectral clustering approach to finding communities in graphs
S White, P Smyth
Proceedings of the 2005 SIAM international conference on data mining, 274-285, 2005
8082005
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
7782009
Fast collapsed Gibbs sampling for latent Dirichlet allocation
I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
7622008
Clustering sequences with hidden Markov models
P Smyth
Advances in neural information processing systems 9, 1996
6641996
Trajectory clustering with mixtures of regression models
S Gaffney, P Smyth
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
6501999
Algorithms for estimating relative importance in networks
S White, P Smyth
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
5702003
Distributed algorithms for topic models.
D Newman, A Asuncion, P Smyth, M Welling
Journal of Machine Learning Research 10 (8), 2009
5242009
Modeling the Internet and the Web: Probabilistic Methods and Algorithms
P Baldi, P Frasconi, P Smyth
Modeling the Internet and the Web: Probabilistic Methods and Algorithms, 2003
519*2003
An information theoretic approach to rule induction from databases
P Smyth, RM Goodman
IEEE transactions on Knowledge and data engineering 4 (4), 301-316, 1992
5161992
Visualization of navigation patterns on a web site using model-based clustering
I Cadez, D Heckerman, C Meek, P Smyth, S White
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
4832000
Probabilistic independence networks for hidden Markov probability models
P Smyth, D Heckerman, MI Jordan
Neural computation 9 (2), 227-269, 1997
4551997
Hidden Markov models for fault detection in dynamic systems
P Smyth
Pattern recognition 27 (1), 149-164, 1994
4461994
Statistical topic models for multi-label document classification
TN Rubin, A Chambers, P Smyth, M Steyvers
Machine learning 88, 157-208, 2012
4232012
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