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Knowledge discovery in data streams with regression tree methods
Dima Alberg
,
Mark Last
, Abraham Kandel
Software Engineering Program
Research output
:
Contribution to journal
›
Review article
›
peer-review
38
Scopus citations
Overview
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Keyphrases
Regression Tree Method
100%
Knowledge Discovery in Databases
100%
Regression Tree Algorithm
50%
Data Stream Mining
50%
Tree Structure
25%
Greedy Algorithm
25%
Regression Analysis
25%
Successful Implementation
25%
Training Data
25%
Model Tree
25%
Compact Model
25%
Accurate Model
25%
Splitting Rule
25%
Mining Area
25%
Divide-and-conquer
25%
Performance Results
25%
Internal Prediction
25%
Interval Tree
25%
Amores
25%
Incremental Model
25%
Internal Node
25%
Tree-based Models
25%
Tree-based Algorithms
25%
Advanced Review
25%
Numerical Learning
25%
Computer Science
Data Stream
100%
Knowledge Discovery
100%
Regression Tree
100%
Tree Algorithm
50%
Interpretability
16%
Data Analysis
16%
Training Data
16%
Training Instance
16%
Incremental Model
16%
Greedy Algorithm
16%
Mathematics
Regression tree
100%
Data Mining
100%
Greedy Algorithm
16%
Divide and Conquer
16%
Training Data
16%
Interpretability
16%
Regression Analysis
16%