arXiv 1303.53672013-03cs.IRcs.DL

驯服动物园-关于Apache Hadoop生态系统中的算法实现

Taming the zoo - about algorithms implementation in the ecosystem of Apache Hadoop

Piotr Jan Dendek, Artur Czeczko, Mateusz Fedoryszak, Adam Kawa, Piotr Wendykier, Lukasz Bolikowski

备注：: This paper (with changed content) appeared under the title "Content Analysis of Scientific Articles in Apache Hadoop Ecosystem" in "Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation", "Studies in Computational Intelligence", Volume 541, 2014, http://link.springer.com/book/10.1007/978-3-319-04714-0

摘要：

内容分析系统（CoAnSys）是一个使用Apache Hadoop挖掘科学出版物的研究框架。本文介绍了目前在CoAnSys中实现的算法，包括科学出版物的分类，归类和引文匹配。输入数据的大小将这些算法分类到大数据问题的范围内，这些问题可以在Hadoop集群上有效地解决。

英文摘要：

Content Analysis System (CoAnSys) is a research framework for mining scientific publications using Apache Hadoop. This article describes the algorithms currently implemented in CoAnSys including classification, categorization and citation matching of scientific publications. The size of the input data classifies these algorithms in the range of big data problems, which can be efficiently solved on Hadoop clusters.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。