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Spatio-temporal aggregation using sketches

Yufei Tao, George Kollios, Jeffrey Considine, Feifei Li, Dimitris Papadias

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Several spatio-temporal applications require the retrieval of summarized information about moving objects that lie in a query region during a query interval (e.g., the number of mobile users covered by a cell, traffic volume in a district, etc.). Existing solutions have the distinct counting problem: if an object remains in the query region for several timestamps during the query interval, it will be counted multiple times in the result. The paper solves this problem by integrating spatio-temporal indexes with sketches, traditionally used for approximate query processing. The proposed techniques can also be applied to reduce the space requirements of conventional spatio-temporal data and to mine spatio-temporal association rules.
Original languageEnglish
Title of host publicationProceedings - 20th International Conference on Data Engineering - ICDE 2004
Pages214-225
Volume20
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - 20th International Conference on Data Engineering - ICDE 2004 - Boston, MA., United States
Duration: 30 Mar 20042 Apr 2004

Publication series

NameProceedings - International Conference on Data Engineering
Volume20

Conference

ConferenceProceedings - 20th International Conference on Data Engineering - ICDE 2004
PlaceUnited States
CityBoston, MA.
Period30/03/042/04/04

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Yufei Tao and Dimitris Papadias were supported by grant HKUST 6197/02E from Hong Kong RGC. George Kollios, Jeffrey Considine and were Feifei Li supported by NSF CAREER IIS-0133825 and NSF IIS-0308213 grants.

RGC Funding Information

  • RGC-funded

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