Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Transaction time"”.
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LSPARQL: Transaction Time Queries in RDF
… this issue by executing queries over a standard transaction log which are commonly supported by most triplestores. We provide a formal definition of the semantics of a log-based data model and of our query language. We describe a proof-of-concept implementation that demonstrates that the average …
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Using artificial neural networks to forecast changes in national and regional price indices for the UK residential property market
… economic, social and residential property transaction time-series data, toforecast trends within the housing market.Artificial neural networks have previously been applied successfully to produceestimates of the open market value of a property over a limited time period withinsub-markets. …
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Natural Time and Crash Risk
… To this effect, multiple instruments and time horizons are considered. The contribution of this thesis is multifold. The “natural time” approach introduced here, uses order book variables to achieve normally distributed high frequency returns via subordination. In its essence, natural time …
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Thor: The Hybrid Online Repository
… and their associated private keys during transaction time. However, protection of these items outside of the transaction is often delegated to a secure credential repository. A mobile environment creates significant challenges for secure repositories. We examine these challenges with …
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A study on real estate derivatives
… real estate, an industry characterized by high transaction cost, long lead transaction time and lack of short-selling mechanism. Still, real estate remains the last major asset class without a liquid derivative market until recently when Credit Suisse began to offer swaps on the NCREIF Property …
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Translating Data Between Xml Schema and 6Nf Conceptual Models
… data containing temporal variables of a point-in-time or interval nature. With the advent of Data Warehousing 2.0 (DW 2.0), there is now an increased emphasis on using fully-temporalized databases in the context of data warehousing, in particular with approaches such as the Anchor Model and Data …