A Clustering OLAP Analysis in a Big Data Stream Environment
Ho Jin Woo, Kil Hong Joo, Nam Hun Park · Advanced science and technology letters · 2015
The online analytical processing (OLAP) is a process where an end user directly accesses multi-dimensional information to analyze information in a dialogue type for his or her decision making. It is limited to apply the method to the recent big data environment including smart phones and SNS. In this study, OLAP analysis-based clustering method is proposed by combining the data cube modeling technique with multi-dimensional clustering structure. The proposed method clusters the attribute values of big data streams so it is possible its precision may be slightly lower. But it reduces memory and time spent to analyze and process multi-dimensional data streams.