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ACM SIGMOD日本支部 講演会(チュートリアル)

「Offline, Stream and Approximate Algorithms for Synopsis Construction」

講演者:Kyuseok Shim (Seoul National University)
日時:2005年10月19日(水) 17:30 - 18:30
開催場所東京大学生産技術研究所 会議室A406(Ew-501)
主催:日本データベース学会・ACM SIGMOD日本支部 共催
支部長:北川 博之

Abstract

Histograms and synopsis structures are popular techniques for data
analysis tools and have been used in OLAP/DSS systems, approximate query
answering, query optimization and data mining. Recently, histogram
techniques have received more attention due to the emerging areas such
as stream management. We will discuss and analyze these techniques and
we expect broader pictures and paradigms to emerge. Understanding the
development of these algorithms is one of the main thrust of this talk.
We will cover a wise spectrum of these topics and make the audience
aware of the new algorithms, optimum or approximate, offline or
streaming.
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