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Palpanas, Themis; Velegrakis, Yannis

doi:10.1145/2380776.2380784

Cited by 3 publications

(1 citation statement)

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“…However, all they provide extensions to multi-dimensional cases and are, therefore, relation-oriented. Further approaches have been proposed for managing also data stored in large XML files (Palpanas & Velegrakis, 2012).…”

Section: Introductionmentioning

confidence: 99%

System Architecture for Approximate Query Processing

Tria¹,

Lefons²,

Tangorra³

2016

CIS

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Decision making is an activity that addresses the problem of extracting knowledge and information from data stored in data warehouses, in order to improve the business processes of information systems. Usually, decision making is based on On-Line Analytical Processing, data mining, or approximate query processing. In the last case, answers to analytical queries are provided in a fast manner, although affected with a small percentage of error. In the paper, we present the architecture of an approximate query answering system. Then, we illustrate our ADAP (Analytical Data Profile) system, which is based on an engine able to provide fast responses to the main statistical functions by using orthogonal polynomials series to approximate the data distribution of multidimensional relations. Moreover, several experimental results to measure the approximation error are shown and the response-time to analytical queries is reported.

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Section: Introductionmentioning

confidence: 99%