Padhraic Smyth

Padhraic Smyth is a person.

• See: Data Mining Researcher, Data Mining Textbook, Probabilistic Topic Modeling Algorithm.

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References

2009

• Professional Homepage: http://www.ics.uci.edu/~smyth/
• Google Scholar Author Page: http://scholar.google.com/citations?user=OsoQ-dcAAAAJ

2008

• (Chemudugunta et al., 2008) ⇒ Chaitanya Chemudugunta, America Holloway, Padhraic Smyth, and Mark Steyvers. (2008). “Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.” In: Proceedings of the 7th International Conference on The Semantic Web. doi:10.1007/978-3-540-88564-1_15

2007

• (Chemudugunta et al., 2007) ⇒ Chaitanya Chemudugunta, Padhraic Smyth, and Mark Steyvers. (2007). “Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.” In: Bernhard Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19. MIT Press.

2005

• (O’Madadhain et al., 2005a) ⇒ Joshua O’Madadhain, Danyel Fisher, Padhraic Smyth, Scott White, and Yan-Biao Boey. (2005). “Analysis and Visualization of Network Data Using JUNG.” In: Journal of Statistical Software.
• (O’Madadhain et al., 2005b) ⇒ Joshua O'Madadhain, Jon Hutchins, and Padhraic Smyth. (2005). “Prediction and Ranking Algorithms for Event-based Network Data].” In: ACM SIGKDD Explorations Newsletter, 7(2). doi:10.1145/1117454.1117458

2003

• (White et al., 2003) ⇒ Scott White, Padhraic Smyth. (2003). “Algorithms for Estimating Relative Importance in Networks.” In: Proceedings of the ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi:10.1145/956750.956782

2001

• (Hand et al., 2001) ⇒ David Hand, Heikki Mannila, and Padhraic Smyth. (2001). “Principles of Data Mining." MIT Press. ISBN:026208290X
• (Cadez et al., 2001) ⇒ Igor V. Cadez, Padhraic Smyth, and Heikki Mannila. (2001). “Probabilistic Modeling of Transactional Data with Applications to Profiling, Visualization, and Prediction.” In: Proceedings of the 7th ACM SIGKDD Conference (KDD-2001).

1996

• (Fayyad et al., 1996a) ⇒ Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy. (1996). “Advances in Knowledge Discovery and Data Mining.” In: American Association for Artificial Intelligence. ISBN:0-262-56097-6 ISBN:978-0-262-56097-9
• (Fayyad et al., 1996b) ⇒ Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. (1996). “The KDD Process for Extracting Useful Knowledge from Volumes of Data.” In: Communications of the ACM, 39(11).
• (Fayyad et al., 1996c) ⇒ Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. (1996). “From Data Mining to Knowledge Discovery: an overview.” In: (Fayyad et al., 1996a)
• (Fayyad et al., 1996d) ⇒ Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. (1996). “From Data Mining to Knowledge Discovery in Databases.” In: AI Magazine, 17(3).

1993

• (Miller et al., 1993) ⇒ John W. Miller, Rod Goodman, and Padhraic Smyth. (1993). “On Loss Functions Which Minimize to Conditional Expected Values and Posterior Probabilities.” In: IEEE Transactions on Information Theory, 39(4).

1992

• (Smyth & Goodman, 1992) ⇒ Padhraic Smyth, and Rodney M. Goodman. (1992). “An Information Theoretic Approach to Rule Induction from Databases.” In: Transactions on Knowledge and Data Engineering, 4(4). doi:10.1109/69.149926

1991

• (Smyth & Goodman, 1991) ⇒ Padhraic Smyth, and Rodney M. Goodman. (1991). “Rule Induction Using Information Theory.” In: Proceedings on the Workshop on Knowledge Discovery in Databases (KDD 1991)

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