Automatic construction of decision trees from data: A multi-disciplinary survey
SK Murthy - Data mining and knowledge discovery, 1998 - Springer
Decision trees have proved to be valuable tools for the description, classification and
generalization of data. Work on constructing decision trees from data exists in multiple …
generalization of data. Work on constructing decision trees from data exists in multiple …
A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
Nowadays, the industrial environment is characterised by growing competitiveness, short
response times, cost reduction and reliability of production to meet customer needs. Thus …
response times, cost reduction and reliability of production to meet customer needs. Thus …
[图书][B] Data mining with decision trees: theory and applications
Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …
knowledge discovery and data mining; it is the science of exploring large and complex …
Decision trees
Decision Trees are considered to be one of the most popular approaches for representing
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
Top-down induction of decision trees classifiers-a survey
Decision trees are considered to be one of the most popular approaches for representing
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
classifiers. Researchers from various disciplines such as statistics, machine learning, pattern …
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared
on thirty-two datasets in terms of classification accuracy, training time, and (in the case of …
on thirty-two datasets in terms of classification accuracy, training time, and (in the case of …
[图书][B] Pattern classification using ensemble methods
L Rokach - 2009 - books.google.com
Researchers from various disciplines such as pattern recognition, statistics, and machine
learning have explored the use of ensemble methodology since the late seventies. Thus …
learning have explored the use of ensemble methodology since the late seventies. Thus …
Classification trees with unbiased multiway splits
Two univariate split methods and one linear combination split method are proposed for the
construction of classification trees with multiway splits. Examples are given where the trees …
construction of classification trees with multiway splits. Examples are given where the trees …
[图书][B] Ensemble learning: pattern classification using ensemble methods
L Rokach - 2019 - World Scientific
Artificial intelligence (AI) is a scientific discipline that aims to create intelligent machines.
Machine learning is a popular and practical AI subfield that aims to automatically improve …
Machine learning is a popular and practical AI subfield that aims to automatically improve …
A hybrid sales forecasting system based on clustering and decision trees
S Thomassey, A Fiordaliso - Decision Support Systems, 2006 - Elsevier
Competition and globalization imply a very accurate production and sourcing management
of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to …
of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to …