Conference Proceedings

Data Mining Algorithms Parallelization in Logic Programming Framework for Execution in Cluster

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11660 LNCS 91-103
DOI: 10.1007/978-3-030-30859-9_8
2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This article describes an approach to parallelizing of data mining algorithms in logical programming framework, for distributed data processing in cluster. As an example Naive Bayes algorithm implementation in Prolog framework, its conversion into parallel type and execution on cluster with MPI system are described.

Author supplied keywords

Cite

CITATION STYLE

APA

Malov, A., Rodionov, S., & Shorov, A. (2019). Data Mining Algorithms Parallelization in Logic Programming Framework for Execution in Cluster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11660 LNCS, pp. 91–103). Springer Verlag. https://doi.org/10.1007/978-3-030-30859-9_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free