The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-281
Full Name: Carlo dell'Aquila
Position: Associate Professor
Age: ON
Sex: Male
Address: Università degli Studi di Bari Aldo Moro, Dipartimento di Informatica, Via Orabona 4, I-70125 Bari
Country: ITALY
Tel: 0805443283
Tel prefix: ++39
Fax: 0805443283
E-mail address: dellaquila@di.uniba.it
Other E-mails: lefons@di.uniba.it
Title of the Paper: Probabilistic Model for Accuracy Estimation in Approximate Monodimensional Analyses
Authors as they appear in the Paper: Carlo dell'Aquila, Francesco Di Tria, Ezio Lefons, Filippo Tangorra
Email addresses of all the authors: dellaquila@di.uniba.it, lefons@di.uniba.it, tangorra@di.uniba.it, francescoditria@di.uniba.it
Number of paper pages: 11
Abstract: Approximate query processing is often based on analytical methodologies able to provide fast responses to queries. As a counterpart, the approximate answers are affected with a small quantity of error. Nowadays, these techniques are being exploited in data warehousing environments, because the queries devoted to extract information involve high-cardinality relations and, therefore, require a high computational time. Approximate answers are profitably used in the decision making process, where the total precision is not needed. Thus, it is important to provide decision makers with accuracy estimates of the approximate answers; that is, a measure of how much reliable the approximate answer is. Here, a probabilistic model is presented for providing such an accuracy measure when the analytical methodology used for decisional analyses is based on polynomial approximation. This probabilistic model is a Bayesian network able to estimate the relative error of the approxima!
te answers.
Keywords: Analytic query processing, Approximate query answer, Polynomial approximation, Accuracy estimation, Probabilistic model.
EXTENSION of the file: .pdf
Special (Invited) Session: Accuracy Estimation in Approximate Query Processing
Organizer of the Session: 646-493
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IP ADDRESS: 193.204.187.149
