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Histograms and wavelets on probabilistic data

Cormode, Graham, 1977-, Garofalakis Minos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/369869B2-4694-4EAF-83E4-44A1EEF3BE53-
Αναγνωριστικόhttp://www.computer.org/csdl/trans/tk/2010/08/ttk2010081142-abs.html-
Αναγνωριστικόhttps://doi.org/10.1109/TKDE.2010.66-
Γλώσσαen-
Μέγεθος16 pagesen
ΤίτλοςHistograms and wavelets on probabilistic dataen
ΔημιουργόςCormode, Graham, 1977-en
ΔημιουργόςGarofalakis Minosen
ΔημιουργόςΓαροφαλακης Μινωςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThere is a growing realization that uncertain information is a first-class citizen in modern database management. As such, we need techniques to correctly and efficiently process uncertain data in database systems. In particular, data reduction techniques that can produce concise, accurate synopses of large probabilistic relations are crucial. Similar to their deterministic relation counterparts, such compact probabilistic data synopses can form the foundation for human understanding and interactive data exploration, probabilistic query planning and optimization, and fast approximate query processing in probabilistic database systems. In this paper, we introduce definitions and algorithms for building histogram- and Haar wavelet-based synopses on probabilistic data. The core problem is to choose a set of histogram bucket boundaries or wavelet coefficients to optimize the accuracy of the approximate representation of a collection of probabilistic tuples under a given error metric. For a variety of different error metrics, we devise efficient algorithms that construct optimal or near optimal size B histogram and wavelet synopses. This requires careful analysis of the structure of the probability distributions, and novel extensions of known dynamic-programming-based techniques for the deterministic domain. Our experiments show that this approach clearly outperforms simple ideas, such as building summaries for samples drawn from the data distribution, while taking equal or less time.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-29-
Ημερομηνία Δημοσίευσης2010-
Θεματική ΚατηγορίαHistogramsen
Θεματική ΚατηγορίαWaveletsen
Θεματική ΚατηγορίαProbabilistic dataen
Βιβλιογραφική ΑναφοράG. Cormode and M. Garofalakis, "Histograms and wavelets on probabilistic data", IEEE Trans. Knowl. Data Eng., vol. 22, no. 8, pp. 1142-1157, Aug. 2010. doi:10.1109/TKDE.2010.66en

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