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AIDE: An automatic user navigation system for interactive data exploration

  • Yanlei Diao
  • , Kyriaki Dimitriadou
  • , Zhan Li
  • , Wenzhao Liu
  • , Olga Papaemmanouil
  • , Kemi Peng
  • , Liping Peng
  • UMass Amherst
  • Brandeis University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Data analysts often engage in data exploration tasks to discover interesting data patterns, without knowing exactly what they are looking for. Such exploration tasks can be very labor-intensive because they often require the user to review many results of ad-hoc queries and adjust the predicates of subsequent queries to balance the tradeoff between collecting all interesting information and reducing the size of returned data. In this demonstration we introduce AIDE, a system that automates these exploration tasks. AIDE steers the user towards interesting data areas based on her relevance feedback on database samples, aiming to achieve the goal of identifying all database objects that match the user interest with high efficiency. In our demonstration, conference attendees will see AIDE in action for a variety of exploration tasks on real-world datasets.

Original languageEnglish
Title of host publicationProceedings of the VLDB Endowment
EditorsKi-Joune Li, Simonas Saltenis, Christophe Claramunt
PublisherAssociation for Computing Machinery
Pages1964-1967
Number of pages4
Volume8
Edition12 12
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event3rd Workshop on Spatio-Temporal Database Management, STDBM 2006, Co-located with the 32nd International Conference on Very Large Data Bases, VLDB 2006 - Seoul, Korea, Republic of
Duration: 11 Sept 200611 Sept 2006

Conference

Conference3rd Workshop on Spatio-Temporal Database Management, STDBM 2006, Co-located with the 32nd International Conference on Very Large Data Bases, VLDB 2006
Country/TerritoryKorea, Republic of
CitySeoul
Period11/09/0611/09/06

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