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» Combining Naive Bayes and Decision Tables
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FLAIRS
2008
13 years 7 months ago
Combining Naive Bayes and Decision Tables
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficie...
Mark Hall, Eibe Frank
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
13 years 9 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
13 years 10 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
NAACL
2007
13 years 6 months ago
OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
We introduce a simple opinion mining system for analyzing Japanese Weblog reviews called OMS-J. OMS-J is designed to provide an intuitive visual GUI of opinion mining graphs for a...
Guangwei Wang, Kenji Araki
MCS
2001
Springer
13 years 9 months ago
Genetic Programming for Improved Receiver Operating Characteristics
Genetic programming (GP) can automatically fuse given classifiers of diverse types to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than...
William B. Langdon, Bernard F. Buxton