Stroscope: Multi-Scale Visualization of Irregularly Measured Time-Series Data Abstract: For irregularly measured time-series data. Concerns the analysis of data collected over time. Multi-Scale Histograms for Answering Queries over Time Series Data. Euclidean distances computed from multi-scale time series. This paper describes multi-scale. For irregularly measured time-series data. Data dissemination and communication. Dissemination is the release of data obtained from a. Dissemination can also. Multi-scale dissemination of time series data.
Multiscale analysis for time series data is a useful tool in applied time. A practical Time -Series Tutorial with MATLAB. Time-Series with Matlab 28 Visualizing Data. Time-Series with Matlab. Time series: random data plus trend. MATLAB Toolkit for Computation of Multiple Measures on Time Series Data Bases. A Matlab tutorial on power spectra.
Dissemination schedule . If you need to re- transmit files login to ECPDS.
Multi- Scale Dissemination of Time Series Data. In this paper, we consider the problem of continuous dissemination of time series data, such as sensor measurements, to a large number of subscribers. These subscribers fall into multiple subscription levels, where each subscription level is specified by the bandwidth constraint of a subscriber, which is an abstract indicator for both the physical limits and the amount of data that the subscriber would like to handle. To handle this problem, we propose a system framework for multi- scale time series data dissemination that employs a typical tree- based dissemination network and existing time- series compression models. Due to the bandwidth limits regarding to potentially sheer speed of data, it is inevitable to compress and re- compress data along the dissemination paths according to the subscription level of each node. Compression would caused the accuracy loss of data, thus we devise several algorithms to optimize the average accuracies of the data received by all subscribers within the dissemination network. Finally, we have conducted extensive experiments to study the performance of the algorithms.
Original language. English. Title of host publication. Proceedings of the 2. International Conference on Scientific and Statistical Database Management Editors. Alex Szalay, Tamas Budavari, Magdalena Balazinska, Alexandra Meliou, Ahmet Sacan. Number of pages. 12.
Publisher. Association for Computing Machinery. Publication date.
Jul 2. 01. 3ISBN (print)9. State. Published - Jul 2.