Y. Zhu, D. Shasha. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time. In Proc. Int. Conf. on Very Large Data Bases, 2002, pp. 358--369.  Home/Search Document Details and Download
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Efficient Elastic Burst Detection in Data Streams - Zhu, Shasha (2003) (2 citations) Self-citation (Zhu Shasha) (Correct)
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Y. Zhu and D. Shasha. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB 2002.
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Y. Zhu and D. Shasha. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB 2002.
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....need to be considered, point monitoring can be implemented without much e#ort. Aggregate monitoring is much more challenging. Aggregates of time series are computed based on certain time intervals (windows) There are three well known window models that are the subjects of many research projects [10, 11, 12, 22]. 1. Landmark windows: Aggregates are computed based on the values between a specific time point called the landmark and the present. For example, the average stock price of IBM from Jan 1st, 2003 to today is based on a landmark window. 2. Sliding windows: In a sliding window model, aggregates ....
....window is recognized as an important model for data stream. Based on the sliding window model, previous research studies the computation of di#erent aggregates of data stream, for example, correlated aggregates [11] count and other aggregates[7] frequent itemsets and clusters[10] and correlation[22]. The work [13] studies the problem of learning models from timechanging streams without explicitly applying the sliding window model. The Aurora project[4] considers the systems aspect of monitoring data streams. Also the algorithm issues in time series stream statistics monitoring are addressed ....
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Y. Zhu and D. Shasha. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB 2002.
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Y. Zhu, D. Shasha. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time. In Proc. Int. Conf. on Very Large Data Bases, 2002, pp. 358--369.
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Y. Zhu and D. Shasha. StatStream: Statistical monitoring of thousands of data streams in real time. Proc. 28th Int. Conf. on Very Large Data Bases, pages 358--369, 2002.
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Y. Zhu and D. Shasha. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB 2002.
Paper Reference No.: 192 - Authors Contact Author (2003) (Correct)
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Y. Zhu and D. Shasha. Statstream: Statistical monitoring of thousands of data streams in real time. In VLDB, pages 358--369, 2002.
Online Amnesic Approximation of Streaming Time Series - Palpanas, Vlachos, Keogh, .. (2004) (4 citations) (Correct)
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Yunyue Zhu and Dennis Shasha. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time. In VLDB International Conference, pages 358--369, Hong Kong, China, August 2002. 12
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D. S. Yunyue Zhu. Statstream: Statistical monitoring of thousands of data streams in real time. In Proceedings of the 28th International Conference on Very Large Data Bases, pages 358#369, 2002.
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