Advanced visualization for OLAP

Maniatis, AS; Vassiliadis, P; Skiadopoulos, S; Vassiliou, Y

dc.contributor.author	Maniatis, AS	en
dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Skiadopoulos, S	en
dc.contributor.author	Vassiliou, Y	en
dc.date.accessioned	2014-03-01T02:42:11Z
dc.date.available	2014-03-01T02:42:11Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30849
dc.subject	On-Line Analytical Processing	en
dc.subject	Visualization	en
dc.subject.other	Data representation	en
dc.subject.other	Data sets	en
dc.subject.other	Generic algorithms	en
dc.subject.other	On-line analytical processing (OLAP)	en
dc.subject.other	Data reduction	en
dc.subject.other	Data structures	en
dc.subject.other	Database systems	en
dc.subject.other	Decision support systems	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Mathematical models	en
dc.subject.other	Report generators	en
dc.subject.other	User interfaces	en
dc.subject.other	Online systems	en
dc.title	Advanced visualization for OLAP	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/956060.956063	en
heal.identifier.secondary	http://dx.doi.org/10.1145/956060.956063	en
heal.publicationDate	2003	en
heal.abstract	Data visualization is one of the big issues of database research. OLAP as a decision support technology is highly related to the developments of data visualization area. In this paper we demonstrate how the Cube Presentation Model (CPM), a novel presentational model for OLAP screens, can be naturally mapped on the Table Lens, which is an advanced visualization technique from the Human-Computer Interaction area, particularly tailored for cross-tab reports. We consider how the user interacts with an OLAP screen and based on the particularities of Table Lens, we propose an automated proactive users support. Finally, we discuss the necessity and the applicability of advanced visualization techniques in the presence of recent technological developments. Copyright 2003 ACM.	en
heal.journalName	DOLAP: Proceedings of the ACM International Workshop on Data Warehousing and OLAP	en
dc.identifier.doi	10.1145/956060.956063	en
dc.identifier.spage	9	en
dc.identifier.epage	16	en