Big data mining: In-database Oracle data mining over hadoop
Zlatinka Svetoslavova Kovacheva, Ina Naydenova, Kalinka Kaloyanova, Krasimir Markov · AIP conference proceedings · 2017
Big data challenges different aspects of storing, processing and managing data, as well as analyzing and using data for business purposes. Applying Data Mining methods over Big Data is another challenge because of huge data volumes, variety of information, and the dynamic of the sources. Different applications are made in this area, but their successful usage depends on understanding many specific parameters. In this paper we present several opportunities for using Data Mining techniques provided by the analytical engine of RDBMS Oracle over data stored in Hadoop Distributed File System (HDFS). Some experimental results are given and they are discussed.