Eric Siegel, Ph.D., Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Wiley, first edition 2013 - Revised and Updated 2016. This rich, entertaining introduction by former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of predictive analytics, showing how predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime-fighting, and boosts sales.
Tutorials on Data Mining, Predictive Modeling and CRM Analytics
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.
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:
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.
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,
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.
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.
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
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.
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.
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.
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.
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:
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.
some editorial comments and more reference info on my
genetic programming papers, as listed in the genetic programming bibliography.