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» Constraint Programming for Data Mining and Machine Learning
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KDD
2005
ACM
125views Data Mining» more  KDD 2005»
15 years 11 months ago
Price prediction and insurance for online auctions
Online auctions are generating a new class of fine-grained data about online transactions. This data lends itself to a variety of applications and services that can be provided to...
Rayid Ghani
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 11 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
16 years 3 days ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 6 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
COLT
1999
Springer
15 years 10 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma