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Approximating Properties of Data Streams

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자료유형E-Book
개인저자Zhou, Samson.
단체저자명Purdue University. Computer Sciences.
서명/저자사항Approximating Properties of Data Streams.
발행사항[S.l.] : Purdue University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항135 p.
소장본 주기School code: 0183.
ISBN9780438018822
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Greg N. Frederickson
요약In this dissertation, we present algorithms that approximate properties in the data stream model, where elements of an underlying data set arrive sequentially, but algorithms must use space sublinear in the size of the underlying data set.
요약We first study the problem of finding all k-periods of a length-n string S, presented as a data stream. S is said to have k-period p if its prefix of length n-p differs from its suffix of length n-p in at most k locations. We give algorithms to
요약We then study the problem of identifying a longest substring of strings S and T of length n that forms a d-near-alignment under the edit distance, in the simultaneous streaming model. In this model, symbols of strings S and T are streamed at t
요약We then consider the distinct elements and lP problems in the sliding window model, where only the most recent n elements in the data stream form the underlying set. We first introduce the composable histogram , a simple twist on the exponentia
요약Finally, we consider the problem of estimating the maximum weighted matching of a graph whose edges are revealed in a streaming fashion. We develop a reduction from the maximum weighted matching problem to the maximum cardinality matching proble
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997908

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