Data Mining Algorithms Parallelizing in Functional Programming Language for Execution in Cluster

被引：3
|
作者：
Kholod, Ivan [1 ]
Malov, Aleksey [2 ]
Rodionov, Sergey [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, St Petersburg, Russia
[2] Motorola Solut, Business Ctr T4, St Petersburg 192019, Russia
来源：
INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS | 2015年 / 9247卷
关键词：
Data mining; Distributed data mining; Distributed information processing; Functional language;
D O I：
10.1007/978-3-319-23126-6_13
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article describes an approach to parallelizing of data mining algorithms, implemented in functional programming language, for distributed data processing in cluster. Here are provided requirements for the functions which form these algorithms for their conversion into parallel type. As an example we describe Naive Bayes algorithm implementation in Common Lisp language, its conversion into parallel type and execution on cluster with MPI system.
引用
收藏
页码：140 / 151
页数：12
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