Learning distributed discrete Bayesian Network Classifiers under MapReduce with Apache Spark

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• 作者：Jacinto Arias ; ^{jacinto.arias@uclm.es} ; Jose A. Gamez ^{jose.gamez@uclm.es} ; Jose M. Puerta ^{jose.puerta@uclm.es}
• 关键词：Bayesian Network Classifiers ; MapReduce ; Big Data ; High dimensionality ; Apache Hadoop ; Apache Spark
• 刊名：Knowledge-Based Systems
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：117
• 期：Complete
• 页码：16-26
• 全文大小：797 K
• 卷排序：117

文摘

Supervised classification on large scale and high dimensional data. Adaptation of a well known approach such as Bayesian Network Classifiers to MapReduce. Deep analysis of scalabilty properties of the new methods. Extensive experimentation on several synthetic and real datasets. Implementation on state-of-the-art Apache Spark library, open source code available.