Eric Siegel

Published Papers

Tutorials on Data Mining, Predictive Modeling and CRM Analytics

• Eric Siegel, Ph.D., "Six Ways to Lower Costs with Predictive Analytics ," BeyeNETWORK, January, 2010.
• Eric Siegel, Ph.D., "Casual Rocket Scientists: An Interview with a Layman Leading the Netflix Prize," Predictive Analytics World, September, 2009.
• Eric Siegel, Ph.D., "Predictive Analytics Delivers Value Across Business Applications," (or see the less spiffy whitepaper version) BeyeNETWORK, January, 2009.
• Eric Siegel, Ph.D., "Predictive analytics for revenue-generating response models," DMNews, January, 2008.
• Eric Siegel, Ph.D., "Predictive Analytics' Killer App: Retaining New Customers," DM Review Magazines Extended Edition, February, 2007.
• Eric Siegel, Ph.D., "Predictive Analytics with Data Mining: How it Works," (or see the less spiffy white paper version) DM Review Magazine's DM Direct, February, 2005.
• Eric Siegel, Ph.D., "Driven with Business Expertise, Analytics Produces Actionable Predictions," CRM Magazine's DestinationCRM, March, 2004.
• Eric Siegel, Ph.D., "Analytics + Business Expertise = Actionable Predictions for Each Customer," Prediction Impact white paper, 2004.

CS EDUCATION PUBLICATIONS

• Siegel, Eric V. ``Iambic IBM AI: The Palindrome Discovery AI Project.'' 31st Technical Symposium of the ACM Special Interest Group in Computer Science Education, Austin, TX: March, 2000. [abstract, full paper]
  
  
• Siegel, Eric V. ``Why Do Fools Fall Into Infinite Loops: Singing To Your Computer Science Class.'' 4th Annual Conference on Innovation and Technology in Computer Science Education (SIGCSE-sponsored), Cracow University of Economics, Cracow, Poland: June, 1999. [abstract, full paper]
  
  
• Eskin, E. and Siegel, Eric V. ``Genetic Programming Applied to Othello: Introducing Students to Machine Learning Research.'' 30th Technical Symposium of the ACM Special Interest Group in Computer Science Education, New Orleans, LA: March, 1999. [abstract, full paper]

RESEARCH PUBLICATIONS

• S. Robertson, E. Siegel, M. Miller, and S. Stolfo, ``Surveillance Detection in High Bandwidth Environments''. The Third DARPA Information Survivability Conference and Exposition (DISCEX III), Washington, D.C., April, 2003.
  
  
• Siegel, Eric V. and McKeown, Kathleen R. ``Learning Methods to Combine Linguistic Indicators: Improving Aspectual Classification and Revealing Linguistic Insights''. Computational Linguistics, December, 2000.
  
  
• Siegel, Eric V. ``Corpus-Based Linguistic Indicators for Aspectual Classification''. Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, University of Maryland, College Park, MD, June, 1999. [abstract, full paper]
  
  
• Siegel, Eric V. ``Disambiguating Verbs with the WordNet Category of the Direct Object''. Usage of WordNet in Natural Language Processing Systems Workshop, Universite de Montreal, August, 1998. [abstract, full paper]
  
  
• Siegel, Eric V. Linguistic Indicators for Language Understanding: Using machine learning methods to combine corpus-based indicators for aspectual classification of clauses. Ph.D. Dissertation, 1998. Committee: Kathleen R. McKeown (Advisor), John R. Kender, Judith Klavans, Philip Resnik, Sal Stolfo [abstract, acknowledgements,, full paper]
  
  
• Siegel, Eric V. ``Learning methods for combining linguistic indicators to classify verbs''. Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, RI: August, 1997. [abstract, full paper]
  
  
• Siegel, Eric V. and Chaffee, Alexander D. ``Genetically optimizing the speed of programs evolved to play Tetris''. In Advances in Genetic Programming: Volume 2, edited by P.J. Angeline and K. Kinnear, MIT Press, Cambridge, MA: 1996. [abstract, full paper]
  
  
• Siegel, Eric V. and McKeown, Kathleen R. ``Gathering statistics to aspectually classify sentences with a genetic algorithm''. In Proceedings of the Second International Conference on New Methods in Language Processing, Ankara, Turkey: Sept. 1996. [abstract, full paper]
  
  
• Siegel, Eric V. and Koza, John R., editors. Genetic Programming: Papers from the AAAI Fall Symposium, AAAI Technical Report FS-95-01, Cambridge, MA: 1995. [contents]
  
  
• Siegel, Eric V. ``Competitively evolving decision trees against fixed training cases for natural language processing''. In Advances in Genetic Programming, edited by K. Kinnear, MIT Press, Cambridge, MA: 1994. [abstract, full paper]
  
  
• Siegel, Eric V. and McKeown, Kathleen R. ``Emergent linguistic rules from inducing decision trees: disambiguating discourse clue words''. In Proceedings of the Twelfth National Conference on Artificial Intelligence, Seattle, WA: July 1994. [abstract, full paper]
  
  

Also see: some editorial comments and more reference info on my genetic programming papers, as listed in the genetic programming bibliography.

email: evs at cs dot columbia dot edu