Integrating OLAP and ranking: The ranking-cube methodology

Dong Xin, Jiawei Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

OLAP (On-Line Analytical Processing) and Ranking are currently separate technologies in the database systems. OLAP emphasizes on efficient multidimensional data analysis and ranking is good for effective data exploration in massive data. In this paper, we discuss the problem of integrating OLAP and ranking, such that ranking serves as a function block for data analysis and exploration in the OLAP environment. Towards this goal, we present the ranking cube: a semi off-line materialization and semi online computation model. This paper discusses the framework, the implementation issues and the possible extensions of the ranking cube.

Original languageEnglish (US)
Title of host publicationWorkshops in Conjunction with the International Conference on Data Engineering - ICDE' 07
Pages253-256
Number of pages4
DOIs
StatePublished - 2007
EventWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007 - Istanbul, Turkey
Duration: Apr 15 2007 → Apr 20 2007

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

OtherWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
CountryTurkey
CityIstanbul
Period4/15/07 → 4/20/07

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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