BibFinder/StatMiner: Effectively Mining and Using Coverage and Overlap Statistics in Data Integration

Zaiqing Nie, Subbarao Kambhampati, Thomas Hernandez

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents StatMiner, a system for estimating the coverage and overlap statistics while keeping the needed statistics tightly under control. StatMiner uses a hierarchical classification of the queries, and threshold based variants of familiar data mining techniques to dynamically decide the level of resolution at which to learn the statistics. The chapter demonstrates the major functionalities of StatMiner and the effectiveness of the learned statistics in BibFinder, a publicly available computer science bibliography mediator. The sources that BibFinder integrates are autonomous and can have uncontrolled coverage and overlap. An important focus in BibFinder was thus to mine coverage and overlap statistics about these sources and to exploit them to improve query processing.

Original languageEnglish (US)
Title of host publicationProceedings 2003 VLDB Conference
Subtitle of host publication29th International Conference on Very Large Databases (VLDB)
PublisherElsevier
Pages1097-1100
Number of pages4
ISBN (Electronic)9780127224428
DOIs
StatePublished - Jan 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

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