High performance discovery in time series : techniques and case studies

＜図書＞
High performance discovery in time series : techniques and case studies

責任表示	Dennis Shasha, Yunyue Zhu
シリーズ	Monographs in computer science
データ種別	図書
出版情報	New York : Springer , c2004
本文言語	英語
大きさ	xiii, 190 p. : ill. ; 24 cm
概要	Time-series data--data arriving in time order, or a data stream--can be found in fields such as physics, finance, music, networking, and medical instrumentation. Designing fast, scalable algorithms fo... analyzing single or multiple time series can yield scientific discoveries, medical diagnoses, and certainly profits. High Performance Discovery in Time Series presents rapid-discovery techniques for finding portions of time series with many events (i.e., gamma-ray scatterings) and finding closely related time series (i.e., highly correlated price histories, or musical melodies). Such real-time streaming data analysis is critical for complex real-world data in telecommunications, bioinformatics, and finance databases. This new monograph provides a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. It offers essential coverage of the topic for database and online Web Services researchers and professionals, as well as an ideal resource for graduates. 続きを見る

状態	巻次	所蔵場所	請求記号	刷年	文庫名称	資料番号	コメント	予約・取寄	複写申込	自動書庫
		理系図3F 数理独自	SHAS/5/2	2004		023212004005485		予約・取寄			予約・取寄

一般注記	Includes bibliographical references (p. [181]-187) and index
著者標目	Shasha, Dennis Elliott Zhu, Yunyue
書誌ID	1001397665
ISBN	0387008578
NCID	BA68282870
巻冊次	ISBN:0387008578
登録日	2009.11.02
更新日	2009.11.02