Decision trees

Accuracy (138)
Application programming interface (143)
Artificial intelligence (117)
Artificial neural network (5)
Association rule (3)
Back propagation (1)
Cardinality (9)
Cart (2)
Cluster analysis (70)
Clustering (199)
Collinearity (6)
Conditional probability (3)
Coverage (1061)
Customer relationship management (22)
Data mining (37)
Decision trees (2)
Entropy (4)
Error rate (8)
Exploratory data analysis (1)
Factor analysis (112)
Front office (10)
Fuzzy logic (6)
Fuzzy set (4)
Fuzzy system (1)
Genetic algorithm (3)
Intelligent agent (6)
Knowledge discovery (9)
Nearest neighbor (1)
Occam s razor (1)
Overfitting (1)
Sensitivity analysis (101)
Structured query language (1)
Targeted-marketing (3)
Text mining (12)
Time-series forecasting (1)
Web mining (1)

Synopsis: Ict: Data: (*)data_mining: Decision trees:


(Management for Professionals) Jan vom Brocke, Theresa Schmiedel (eds.)-BPM - Driving Innovation in a Digital World-Springer International Publishing (2015).pdf

and van der Aalst (2013) for example present a technique to support process participants in making risk-informed decisions by traversing decision trees generated from the logs of past process executions.


The future internet.pdf

Popular techniques related to storing and enforcing high-level information include neural networks, expert systems, statistical association, conditional probability distributions, different kinds of monotonic and nonmonotonic, fuzzy logic, decision trees, static and dynamic


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