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Data Mining with Decision Trees: Theory and Applications, 2nd Edition
Lior Rokach,
Oded Maimon
Department of Industrial Engineering
Ben-Gurion University of the Negev
Research output
:
Book/Report
›
Book
›
peer-review
275
Scopus citations
Overview
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Dive into the research topics of 'Data Mining with Decision Trees: Theory and Applications, 2nd Edition'. Together they form a unique fingerprint.
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Keyphrases
Active Learning
20%
Big Data
40%
Classification Features
20%
Classification Task
20%
Classification via Clustering
20%
Classification via Regression
20%
Comparative Learning
20%
Complex Bodies
20%
Computational Effort
20%
Cost-sensitive
20%
Data Mining Software
20%
Decision Tree
100%
Decision Tree Learning
40%
Decision Tree Theory
100%
Feature Selection
20%
First Edition
20%
Imbalanced Data
20%
Knowledge Data
20%
Knowledge Discovery
20%
Learning Lessons
20%
Lessons Learned
20%
New Subjects
40%
Numerics
20%
Open Data
40%
Performance Prediction
20%
Popular
20%
Privacy-preserving
20%
Regression Clustering
20%
Task Privacy
20%
Uncertain Data
20%
Useful Patterns
20%
Computer Science
Active Learning
12%
Big Data
25%
Classification Task
12%
Computational Effort
12%
Data Mining
100%
Data Mining Package
12%
Decision Trees
100%
Feature Selection
12%
Imbalanced Data
12%
Knowledge Discovery
12%
Open Source
25%
Popular Approach
12%
Predictive Performance
12%
Privacy Preserving
12%