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KDD
2001
ACM
359views Data Mining» more  KDD 2001»
14 years 5 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
SIGKDD
2002
113views more  SIGKDD 2002»
13 years 4 months ago
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among ge...
Mark-A. Krogel, Marcus Denecke, Marco Landwehr, To...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 5 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
ICPR
2006
IEEE
14 years 6 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
13 years 10 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...