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196
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Mining time-changing data streams
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Wrappers for feature subset selection
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7
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Constructing New Attributes for Decision Tree Learning
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11
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Distributed Data Mining: Scaling up and beyond
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7
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Top-Down Induction of Decision Trees Classifiers -- A Survey
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24
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Mobimine: Monitoring the stock market from a PDA
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Constructing Classification Trees with Exception Annotations for Large Datasets
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Techniques in Data Mining: Decision Trees Classification and Constraint-based Itemsets Mining
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15
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A Survey of Methods for Scaling Up Inductive Learning Algorithms
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12
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A Fourier Spectrum-based Approach to Represent Decision Trees for Mining Data Streams in Mobile Environments
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32
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Simplifying Decision Trees: A Survey
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121
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Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
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19
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Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
– Tobias Scheffer, Stefan Wrobel
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9
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Hierarchical decision tree induction in distributed genomic databases
– Amir Bar-or, Assaf Schuster, Ran Wolff, Daniel Keren
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Parallel Classification on Shared-Memory Systems
– Mohammed J. Zaki, Ching-Tien Ho, Rakesh Agrawal
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52
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Scalparc: A new scalable and efficient parallel classification algorithm for mining large datasets
– Mahesh V. Joshi, George Karypis, Vipin Kumar
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85
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RainForest - a Framework for Fast Decision Tree Construction of Large Datasets
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30
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Parallel Formulations of Decision-Tree Classification Algorithms
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3
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CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
– Haixun Wang
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