Exploring Data Using Pa erns: A Survey and Open Problems

Lukasz Golab, Divesh Srivastava
2021 International Workshop on Data Warehousing and OLAP  
We present a survey of data exploration methods that extract multi-dimensional patterns from datasets consisting of dimension and measure attributes. These patterns are designed to summarize common properties of tuples associated with particular values of the measure attributes. We provide a categorization of the characteristics of patterns produced by various solutions to this problem, we point out the pros, cons and performance optimizations of existing methods, and we suggest directions for future research.
dblp:conf/dolap/GolabS21 fatcat:6lfvuxt2mrf23iftxtzebhamai