Medical data mining: insights from winning two competitions

• Bandos AI, Rockette HE, Song T, Gur D (2008) Area under the free-response ROC curve (FROC) and a related summary index. Biometrics 65(1): 247–256

  Article  Google Scholar 

• DeLuca PM, Wambersie A, Whitmore GF (2008) Extensions to conventional ROC methodology: LROC, FROC, and AFROC. J ICRU 8: 31–35

  Google Scholar 

• Domingos P, Richardson M (2007) Markov logic: a unifying framework for statistical relational learning. In: Getoor L, Taskar B (eds) Introduction to statistical relational learning. MIT Press, Cambridge

  Google Scholar 

• Ferri C, Flach P, Hernandez-Orallo J (2002) Learning decision trees using the area under the ROC curve. In: Proceedings of the international conference on machine learning

• Getoor L, Friedman N, Koller D, Pfeffer A, Taskar B (2007) Probabilistic relational models. In: Getoor L, Taskar B (eds) Introduction to statistical relational learning. MIT Press, Cambridge

  Google Scholar 

• Glymour C, Scheines R, Spirtes P, Kelly K (1987) Discovering causal structure: artificial intelligence, philosophy of science, and statistical modeling. Academic Press, San Diego

  MATH  Google Scholar 

• Inger A, Vatnik N, Rosset S, Neumann E (2000) KDD-Cup 2000: question 1 winner’s report, SIGKDD explorations

• Joachims T (2005) A support vector method for multivariate performance measures. In: Proceedings of the international conference on machine learning

• Joachims T (1999) Making large-scale SVM learning practical. In: Scholkopf B, Burges C, Smola A (eds) Advances in Kernel methods—support vector learning. MIT Press, Cambridge

  Google Scholar 

• Kou Z, Cohen WW (2007) Stacked graphical learning for efficient inference in markov random fields. In: Proceedings of the international conference on data mining

• Krogel M-A, Wrobel S (2003) Facets of aggregation approaches to propositionalization. In: Proceedings of the international conference on inductive logic programming

• Lawrence R, Perlich C, Rosset S et al (2007) Analytics-driven solutions for customer targeting and sales-force allocation. IBM Syst J 46(4): 797–816

  Article  Google Scholar 

• Melville P, Rosset S, Lawrence R (2008) Customer targeting models using actively-selected web content. In: Proceedings of the conference on knowledge discovery and data mining

• Muggleton SH, DeRaedt L (1994) Inductive logic programming: theory and methods. J Logic Program 19 & 20: 629–680

  Article  MathSciNet  Google Scholar 

• NIST/SEMATECH (2006) e-Handbook of Statistical Methods, chap. 1. http://www.itl.nist.gov/div898/handbook/eda/eda.htm

• Perlich C (2005) Approaching the ILP challenge 2005: class-conditional bayesian propositionalization for genetic classification. In: Proceedings of the conference on inductive logic programming

• Perlich C, Provost F (2006) ACORA: distribution-based aggregation for relational learning from identifier attributes, special issue on statistical relational learning and multi-relational data mining. J Mach Learn 62: 65–105

  Article  Google Scholar 

• Perlich C, Melville P, Liu Y, Swirszcz G, Lawrence R, Rosset S (2008) Breast cancer identification: KDD cup winner’s report, SIGKDD explorations

• Platt J (1998) Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Bartlett PJ, Schölkopf B, Schuurmans D, Smola AJ (eds) Advances in large margin classifiers. MIT Press, Cambridge

  Google Scholar 

• Rao RB, Yakhnenko O, Krishnapuram B (2008) KDD Cup 2008 and the workshop on mining medical data, SIGKDD explorations

• Rosset S, Perlich C, Liu Y (2007) Making the most of your data: KDD Cup 2007 “How many ratings” winner’s report, SIGKDD Explorations

• Russ TA (1989) Using hindsight in medical decision making. In: Proceedings of the thirteenth annual symposium on computer applications in medical care

• Saar-Tsechansky M, Pliskin N, Rabinowitz G, Porath A (2001) Monitoring quality of care with relational patterns. Top Health Inf Manag 22(1): 24–35

  Google Scholar 

• Shahar Y (2000) Dimension of time in illness: an objective view. Ann Intern Med 132: 45–53

  Google Scholar 

• Simon HA (1954) Spurious correlation: a causal interpretation. J Am Stat Assoc 49: 467–479

  Article  MATH  Google Scholar 

• Turney PD (2000) Types of cost in inductive concept learning In: Proceedings of the workshop on cost-sensitive learning at the international conference on machine learning

• Valentini G, Dietterich TG (2003) Low bias bagged support vector machines. In: International conference on machine learning

• Weiss GM, Saar-Tsechansky M, Zadrozny B (2008) Special issue on utility-based data mining (editors). Data Min Knowl Discov 17(2)

• White K, Dufresne RL (1997) The placebo effect in drug trials and the double blind. In: Hertzman M, Feltner DE (eds) The handbook of psychopharmacology trials. NYU Press, New York, pp 123–136

  Google Scholar 

• Wolpert DH (1992) Stacked generalization. Neural Networks 5: 241–259

  Article  Google Scholar 

• Yan R, Zhang J, Yang J, Hauptmann A (2004) A discriminative learning framework with pairwise constraints for video object classification. In: Proceedings of IEEE conference on computer vision and pattern recognition

Download references