Marseilles / Seattle / Tucson / Brisbane / Prague / Lisbon / San Diego / Positano-Salerno / /
Company
Australian Computer Society Inc. / San Diego International Systems / /
Continent
Asia / /
Country
Italy / France / United States / Australia / Portugal / United Kingdom / Czech Republic / / /
Facility
City University of Hong Kong / University of Melbourne / University of Essex / /
IndustryTerm
similarity pattern search method / less processing time / real-time application / computational algorithms / data mining / similarity search / online pattern-matching scheme / online hybrid pattern-matching scheme / pre-processing step / pattern search / real-time hybrid pattern-matching algorithm / important point algorithm / online use / /
MarketIndex
Hang Seng 40 / /
Organization
University of Melbourne / Department of Information Systems / University of Essex / City University of Hong Kong / Hong Kong Centre for Computational Finance and Economic Agents / Australian Research Council / Australian Computer Society / Department of Computer Science and Software Engineering / Data Organization / /
Person
Spike / Heng Tao Shen / Az / Berndt / Clifford / Athman Bouguettaya / / /
Position
D. J. / Name Head / /
Product
Spearman / /
ProvinceOrState
Washington / /
PublishedMedium
Journal of Finance / The VLDB Journal / /
Technology
Information Technology / sliding windows / PIP algorithm / Knowledge Management / proposed algorithm / perceptually important point algorithm / data mining / real-time hybrid pattern-matching algorithm / searching algorithms / /
A Real Time Hybrid Pattern Matching Scheme for Stock Time Series Zhe Zhang1, Jian Jiang2, Xiaoyan Liu3, Ricky Lau4, Huaiqing Wang4, Rui Zhang3 1,4 Department of Information Systems, City University of Hong Kong, Hong Kon