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EDM
2008
96views Data Mining» more  EDM 2008»
13 years 6 months ago
Labeling Student Behavior Faster and More Precisely with Text Replays
We present text replays, a method for generating labels that can be used to train classifiers of student behavior. We use this method to label data as to whether students are gamin...
Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de ...
IPPS
1999
IEEE
13 years 9 months ago
Parallel Out-of-Core Divide-and-Conquer Techniques with Application to Classification Trees
Classification is an important problem in the field of data mining. Construction of good classifiers is computationally intensive and offers plenty of scope for parallelization. D...
Mahesh K. Sreenivas, Khaled Alsabti, Sanjay Ranka
WSC
2004
13 years 6 months ago
Decision Tree Module Within Decision Support Simulation System
Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
Mohamed Moussa, Janaka Y. Ruwanpura, George Jergea...
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 6 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
IJCAI
1989
13 years 6 months ago
Generating Better Decision Trees
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
Steven W. Norton