Abstract
In this paper, we introduce a novel framework for estimating OLAP queries over uncertain and imprecise multidimensional data streams, along with three relevant research contributions: (i) a probabilistic data stream model, which describes both precise and imprecise multidimensional data stream readings in terms of nice confidence-interval-based Probability Distribution Functions (PDF); (ii) a possible-world semantics for uncertain and imprecise multidimensional data streams, which is based on an innovative data-driven approach that exploits “natural” features of OLAP data, such as the presence of clusters and high correlations; (iii) an innovative approach for providing theoretically-founded estimates to OLAP queries over uncertain and imprecise multidimensional data streams that exploits the well-recognized probabilistic estimators theory.
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Cuzzocrea, A., et al.: Improving OLAP analysis of multidimensional data streams via efficient compression techniques. In: Intelligent Techniques for Warehousing and Mining Sensor Network Data. IGI Global (2009)
Jin, C., et al.: Sliding-window top-k queries on uncertain streams. PVLDB 1(1) (2008)
Burdick, D., et al.: OLAP over uncertain and imprecise data. In: VLDB (2005)
Cormode, G., et al.: Sketching probabilistic data streams. In: ACM SIGMOD (2007)
Cormode, G., et al.: Exponentially decayed aggregates on data streams. In: IEEE ICDE (2008)
Gray, J., et al.: Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. Data Mining and Knowledge Discovery 1(1) (1997)
Han, J., et al.: Stream cube: An architecture for multi-dimensional analysis of data streams. Distributed and Parallel Databases 18(2) (2005)
Papoulis, A.: Probability, Random Variables, and Stochastic Processes, 2nd edn. McGraw-Hill, New York (1994)
Jayram, T.S., et al.: Estimating statistical aggregates on probabilistic data streams. In: ACM PODS (2007)
Chen, Y., et al.: Multi-dimensional regression analysis of time-series data streams. In: VLDB (2002)
Cai, Y.D., et al.: MAIDS: Mining alarming incidents from data streams. In: ACM SIGMOD (2004)
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© 2011 Springer-Verlag Berlin Heidelberg
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Cuzzocrea, A. (2011). Retrieving Accurate Estimates to OLAP Queries over Uncertain and Imprecise Multidimensional Data Streams. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_43
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DOI: https://doi.org/10.1007/978-3-642-22351-8_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22350-1
Online ISBN: 978-3-642-22351-8
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