A Domain-Driven Approach for Detecting Event Patterns in E-Markets
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Symbolbild
A Domain-Driven Approach for Detecting Event Patterns in E-Markets
DE PB NW
ISBN: 9783639134131 bzw. 3639134133, in Deutsch, VDM Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 308 pages. Dimensions: 8.7in. x 5.9in. x 0.7in.In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 308 pages. Dimensions: 8.7in. x 5.9in. x 0.7in.In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
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A Domain-Driven Approach for Detecting Event Patterns in E-Markets (2009)
DE PB NW RP
ISBN: 9783639134131 bzw. 3639134133, in Deutsch, Vdm Verlag Jun 2009, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
3
A Domain-Driven Approach for Detecting Event Patterns in E-Markets (2009)
DE PB NW
ISBN: 9783639134131 bzw. 3639134133, in Deutsch, Vdm Verlag Jun 2009, Taschenbuch, neu.
Von Händler/Antiquariat, Rheinberg-Buch [53870650], Bergisch Gladbach, NRW, Germany.
Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
4
Symbolbild
A Domain-Driven Approach for Detecting Event Patterns in E-Markets (2009)
DE PB NW
ISBN: 9783639134131 bzw. 3639134133, in Deutsch, VDM Verlag Jun 2009, Taschenbuch, neu.
Von Händler/Antiquariat, Rhein-Team Lörrach Ivano Narducci e.K. [57451429], Lörrach, Germany.
Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
Neuware - In this research, we look at the problem of detecting complex situations arising in e-markets which have been growing in size rapidly over the past few years. Existing tools available today still cannot overcome the main challenges such as processing a large amount of incoming real-time data from market feeds and the ability to extract data efficiently at a high level. We propose to address these problems using the Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools as Event Processing Systems (EPSs). Our solution is based on the new EPS architecture that allows the integration of several existing EPSs (slave EPSs) under a unified domain-specific user interface and execution environment. It also includes the unified e-market data model and event pattern framework for composing and executing event patterns. Selected event patterns used for market surveillance in several stock exchanges have been used in the evaluation process. We sucessfully developed a system prototype using two sophisticated commercial systems, Coral8 and SMARTS, as slave EPSs. 308 pp. Englisch.
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A Domain-Driven Approach for Detecting Event Patterns in E-Markets
~EN PB NW
ISBN: 3639134133 bzw. 9783639134131, vermutlich in Englisch, VDM Verlag Dr. Müller, Taschenbuch, neu.
A Domain-Driven Approach for Detecting Event Patterns in E-Markets ab 78.99 € als Taschenbuch: A Case Study in Financial Market Surveillance. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,.
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A Domain-Driven Approach for Detecting Event Patterns in E-Markets: A Case Study in Financial Market Surveillance
DE PB NW
ISBN: 9783639134131 bzw. 3639134133, in Deutsch, VDM Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, ExtremelyReliable [8304062], Richmond, TX, U.S.A.
This item is printed on demand.
This item is printed on demand.
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