期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：5
页码：551-558
出版社：IJCSN publisher
摘要：The research work proposes a very simple and effective summarization based dynamic join operations over high
dimensional dataset. These extents the SQL aggregate functions to produce aggregations in horizontal form, returning a set of numbers
instead of single aggregation. This work also proposes a Weighted PCA method to handle a high dimensional dynamic dataset with
summarization technique. In the proposed technique, there are two common data preparation tasks are enlightened which includes
transposition/aggregation and transforming categorical attributes into summarized labels. This executes the basic methods to evaluate
horizontal aggregations which are named as CASE, SPJ and PIVOT respectively.
关键词：aggregation; Weighted PCA method; MCC (Multi class clustering); CASE; SPJ and PIVOT
