Towards Query Pricing on Incomplete Data

نویسندگان

چکیده

Data have significant economic or social value in many application fields including science, business, governance, etc. This naturally leads to the emergence of data markets such as GBDEx and YoueData. As a result, trade through has started receive attentions from both industry academia. During buying selling, how price is an indispensable problem. However, pricing incomplete more challenging, even though exist pervasively vast lot real-life scenarios. In this paper, we attempt explore pricing problem for queries over data . We propose sophisticated mechanism, termed ${\sf iDBPricer}$ , which takes series essential factors into consideration, data contribution/usage completeness query quality present two novel functions, namely, usage, completeness-aware function ( UCA price short) quality, QUCA short). Moreover, develop efficient algorithms deriving query prices. Extensive experiments using real benchmark datasets demonstrate excellent performance terms effectiveness scalability, compared with state-of-the-art functions.

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ژورنال

عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering

سال: 2022

ISSN: ['1558-2191', '1041-4347', '2326-3865']

DOI: https://doi.org/10.1109/tkde.2020.3026031