Title :
Supporting data exploration in databases
Author_Institution :
Comput. Eng. & Comput. Sci. Dept., Univ. of Louisville, Louisville, KY, USA
Abstract :
We propose a solution to the problem of exploring large, complex data sets in a (relational) database by a human user. In a nutshell, our proposed solution is to develop the tools to support data exploration and browsing in an organized manner. We introduce: (a) an organization of data around the idea of defining distances on data sets, to reflect the intuitive notion of data that is (closely) related to other data; and (b) a new set of operators to mediate user-data interaction that exploits the defined distances to let the user ldquomove aroundrdquo the data. Our operators are simple and intuitive, yet they can be combined in a flexible manner to support complex browsing interactions. The operators are combined in a novel interface that enables intelligent data exploration and analysis.
Keywords :
data analysis; relational databases; data browsing; data exploration; large complex data sets; relational database; user-data interaction; Computer science; Data analysis; Data engineering; Data mining; Data visualization; Humans; Information analysis; Organizing; Relational databases; Visual analytics;
Conference_Titel :
Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4171-6
Electronic_ISBN :
978-1-4244-4173-0
DOI :
10.1109/ISI.2009.5137270