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Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 52-166
Full Name: Hung-Yi Lin
Position: Associate Professor
Age: ON
Sex: Male
Address: 129, Sanmin Rd., Sec. 3, Taichung
Country: TAIWAN
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E-mail address: linhy@ntit.edu.tw
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Title of the Paper: Indexing the Fully Evolvement of Spatiotemporal Objects
Authors as they appear in the Paper: Hung-Yi Lin, Shih-Ying Chen
Email addresses of all the authors: linhy@ntit.edu.tw, sychen@ntit.edu.tw
Number of paper pages: 11
Abstract: This paper proposes a novel economic and efficient framework of indexing spatiotemporal objects based on compressed B+-trees. Our new index technique can compress data records in leaves and in turn reduce index size to improve update and query efficiencies. The contribution of our framework is threefold. First, the proposed index structures are more succinct to resident in the main memory. Second, sufficient data with high similarity inside all indexing pages for the high retrieval quality of cache fetches are attainable. Third, in addition to process multi-dimensional spatial information, our framework is typically appropriate to model the valid- and transaction-time of a fact. We present the index efficiency analyses and experimental results which show that our technique outperforms others.
Keywords: Spatio-temporal databases, Compressed B+-trees, Trajectories, Data aggregation, Storage utilization
EXTENSION of the file: .pdf
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