Visual query and exploration system for temporal relational database

Shaul Ben Michael*, Ronen Feldman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This research is focused on developing effective visualization tools for query construction and advanced exploration of temporal relational databases. Temporal databases enable the retrieval of each of the states observed in the past and even planned future states. Several query languages for relational databases have been introduced, but only a few of them deal with temporal databases. Moreover, most users are not highly skilled in query formulation and hence are not able to define complex queries. The visual approach introduced here aims at simplifying the query construction process, It gives the user the option to define complex temporal constructs and provides visual tools with which to explore the returned networks intuitively. The exploration process should provide better insight into networks of entities, reveal patterns between the entities, and enable the user to forecast the behavior of entities in the future. A visual query language as an isolated subsystem is not sufficient in itself for a complete data analysis process. A query's output should be further explored to find patterns that are hidden in the output.

Original languageAmerican English
Title of host publicationAdvances in Data Mining
Subtitle of host publicationTheoretical Aspects and Applications - 7th Industrial Conference, ICDM 2007, Proceedings
PublisherSpringer Verlag
Pages283-295
Number of pages13
ISBN (Print)9783540734345
DOIs
StatePublished - 2007
Externally publishedYes
Event7th Industrial Conference on Data Mining, ICDM 2007 - Leipzig, Germany
Duration: 14 Jul 200718 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Industrial Conference on Data Mining, ICDM 2007
Country/TerritoryGermany
CityLeipzig
Period14/07/0718/07/07

Keywords

  • Data exploration
  • Data mining
  • Graph matching
  • Link analysis
  • Relational database
  • Risk management
  • Social networks
  • Temporal database
  • Text mining
  • Visual query

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