Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. Please purchase PDF Split-Merge on www.verypdf.com to remove this watermark. [...]... dimensionality reduction for indexing large time series databases In SIGMOD, pages 151 - 162,2001 [18] E Keogh and T Folias Time Series Data Mining Archive In http://www.cs.ucr:edu/"eamonn/TSDMA, 2002 [I 91 Y Law, H Wang, and C Zaniolo Query languages and data models for database sequences and data streams In VLDB, pages 492-503,2004 [20] M Lee, W Hsu, C Jensen, B Cui, and K Teo Supporting frequent updates in R-Trees:... conditions in their surroundings Statistical models such as stochastic models and multivariate regression enable capturing intra-sensor and inter-sensor dependencies in order to model sensor network data accurately Such models can be used in backcasting missing sensor values, forecasting future data values, and guiding efficient data acquisition Current mathematical models allow decomposing the main research... DATA STREAMS: MODELS AND ALGORITHMS [8] A Bulut and A Singh A unified framework for monitoring data streams in real time In ICDE, pages 44-55,2005 [9] D Carney, U Cetintemel, M Cherniack, C Convey, S Lee, G Seidman, M Stonebraker,N Tatbul, and S Zdonik Monitoring streams - a new class of data management applications In VLDB, pages 215-226,2002 [lo] Y Chen, G Dong, J Han, J Pei, B Wah, and J Wang Online... Split-Merge on www.verypdf.com to remove this watermark DATA STREAMS: MODELS AND ALGORITHMS 1 Model 2 / '' \ ' , AR Model 1 //-\ P Stream Processin En ine Figuve 11.1 The system architecture for a multi-resolution index structure consisting of 3 levels and strearn-specificauto-regressive (AR) models for capturing multi-resolution trends in the data The widely used characteristic h c t i o n s are (1)... partitioning Assume that W = 2 and c = 2 Consider a query window w = 26 The binary representation of b = 13 is 1101, and therefore the query is lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 249 Indexing and Querying Data Streams partitioned into three sub-windows wo = 2, w = 8, and w = 16 Figure 1 1.7 2 3 shows the decomposition of the query and the composition of the aggregate... stream data: Is it feasible? In DMKD, 2002 [ l l ] A Deshpande, C Guestrin, S Madden, J Hellerstein, and W Hong Model-driven data acquisition in sensor networks In VLDB, pages 588599,2004 [12] P Dinda CMU, Aug 97 Load Trace In Host Load Data Archive http://www.cs.northwestern.edu/"pdinda/LoadTraces/ [13] C Faloutsos, M Ranganathan, and Y Manolopoulos Fast subsequence matching in time-series databases... query on the index at level j is performed with Fjas the query center and the radius set to the correlation threshold r In a system with M lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 254 DATA STREAMS: MODELS AND ALGORITHMS synchronized streams, this involves execution of O ( M )range queries at every data arrival 4 Related Work Shifted-Wavelet Tree (SWT) is a wavelet-based... terms "level" and "resolution" interchangeably We denote a newly computed feature at resolution i as Fi Figure 11.2 shows an example where we have three resolutions with corre- lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark 241 Indexing and Querying Data Streams sponding sliding window sizes of 2,4 and 8 With each arrival of a new stream value, features Fo,f i ,and &, i.e.,... (dependent variable) is expressed as a linear combination of values of the same and other streams (independent variables) under sliding window model Given v independent variables and a dependent variable y with N samples each, the < lease purchase PDF Split-Merge on www.verypdf.com to remove this watermark Indexing and Querying Data Streams 255 model identifies the best b independent variables in order to... traditional boundaries between Networks and Databases, especially in the emerging areas of sensor and peer-to-peer networks Data stream processing in these application domains requiresnetworked data management, solutions of which borrow ideas from both disciplines We believe that researchers from these two communities should share their expertise, results, terminologies, and contributions This exchange can