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Sumner, M., Frank, E. and Hall, M. (2005) Speeding Up Logistic Model Tree Induction. In: Jorge, A.M., Torgo, L., Brazdil, P., Camacho, R. and Gama, J., Eds., Knowledge Discovery in Databases: PKDD 2005, Lecture Notes in Computer Science, Vol. 3721, Springer, Berlin, Heidelberg, 1-8.
https://doi.org/10.1007/11564126_72
has been cited by the following article:
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TITLE:
Greedy Algorithm Based Deep Learning Strategy for User Behavior Prediction and Decision Making Support
AUTHORS:
Kumar Attangudi Perichiappan Perichappan
KEYWORDS:
Machine Learning, Big Data Analysis, Decision Making, Artificial Intelligence, Computer Science, Tensorflow, Prediction
JOURNAL NAME:
Journal of Computer and Communications,
Vol.6 No.6,
June
27,
2018
ABSTRACT: In this paper, we suggest a deep learning strategy for decision support, based on a greedy algorithm. Decision making support by artificial intelligence is of the most challenging trends in modern computer science. Currently various strategies exist and are increasingly improved in order to meet practical needs of user-oriented platforms like Microsoft, Google, Amazon, etc.