DATA MINING WITH DECISION TREES: THEORY AND
81 Data Mining with Decision Trees: Theory and Applications. Second Edition. (L. Rokach and O. Maimon). *The complete list of the published volumes in the
Data Mining with Decision Trees Theory and Applications ( nd ed.) [Rokach & Maimon ]
Data Mining with Decision Trees Theory and Applications 2nd
Data Mining with Decision Trees Theory and Applications. 2nd Edition (Series in Machine Perception and Artificial Intelligence volume 81).
Data Mining With Decision Trees Theory and Applications (262 Pages)
dition to their use in data mining decision trees
Data Mining with Decision Trees Theory and Applications [Rokach & Maimon ]
Decision Tree-Based Data Mining and Rule Induction for Identifying
9 déc. 2019 The final dataset was eventually prepared for further data mining analysis. Table 2 Statistical evaluation of groundwater quality variables.
Optimization of C4. 5 algorithm using meta learning in diagnosing of
The algorithm used in this research is decision tree namely C4.5 algorithm. and Oded M 2015 Data Mining with Decision Trees Theory and Applications 2nd.
Decision Trees with Soft Numbers
29 janv. 2022 criteria in decision trees with data set of continuous random ... cision Trees Information Theory
Exploring Decision Rules for Election Results by Classification Trees
12 janv. 2020 Keywords: classification trees voting decision
Decision Trees with Soft Numbers
Improvement of Data Stream Decision Trees
The decision tree is a data mining tool commonly used in data classification tasks. Data Mining with Decision Trees: Theory and Applications (2nd ed.).
Establishing risk and targeting profiles using data mining: Decision
The application of technology and the computerisation of management processes in 2. Data mining machine learning and decision trees. 2.1 Data mining.
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