Conceptual workflow for complex data integration using AXML

Salem, Rashed; Boussaïd, Omar; Darmont, Jérôme

doi:10.1109/icmwi.2010.5648085

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…In future, we aim at mining association rules from logged events taking into account their real-time of logging, and discovering the relationships among events against their logged real-time. Moreover, we intend to apply our algorithm for mining XML events that logged from our data integration platform [8]. This algorithm can be used to discover interesting knowledge, in order to maintain, automate, and re-activate the workflow behavior of the ETL tasks.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, we intend to apply our algorithm for mining XML events that logged from our data integration platform [8]. This algorithm can be used to discover interesting knowledge, in order to maintain, automate, and re-activate the workflow behavior of the ETL tasks.…”

Section: Discussionmentioning

confidence: 99%

“…Logged events are essential to understand and trace the activities of such platforms. For instance, we are motivated to mine logged events from XML-based data integration platforms [8]. It worth to be noted that these platforms are developed, managed and maintained using XML technologies.…”

Section: Logging Eventsmentioning

confidence: 99%

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Efficient incremental breadth-depth XML event mining

Salem

Darmont

Boussaïd

2011

Proceedings of the 15th Symposium on International Database Engineering &Amp; Applications - IDEAS '11

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Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining. In this context, we propose an approach for mining frequent events and association rules from logged events in XML format. This approach is composed of two-main phases: I) constructing a novel tree structure called Frequency XML-based Tree (FXT), which contains the frequency of events to be mined; II) querying the constructed FXT using XQuery to discover frequent itemsets and association rules. The FXT is constructed with a single-pass over logged data. We implement the proposed algorithm and study various performance issues. The performance study shows that the algorithm is efficient, for both constructing the FXT and discovering association rules.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Efficient incremental breadth-depth XML event mining

Salem

Darmont

Boussaïd

2011

Proceedings of the 15th Symposium on International Database Engineering &Amp; Applications - IDEAS '11

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“…However, only relevant structures are stored into the data integration schema. A detailed workflow that describes the sequence of the framework processes is presented in Salem et al (2010). The workflow illustrates how relevant changes of data sources are monitored and detected, and then how these changes update the integration schema implicitly.…”

Section: Integration Schema Evolutionmentioning

confidence: 99%

Active XML-based Web data integration

2013

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Today, the Web is the largest source of information worldwide. There is currently a strong trend for decision-making applications such as Data Warehousing (DW) and Business Intelligence (BI) to move onto the Web, especially in the cloud. Integrating data into DW/BI applications is a critical and time-consuming task. To make better decisions in DW/BI applications, next generation data integration poses new requirements to data integration systems, over those posed by traditional data integration. In this paper, we propose a generic, metadata-based, service-oriented, and event-driven approach for integrating Web data timely and autonomously. Beside handling data heterogeneity, distribution and interoperability, our approach satisfies near real-time requirements and realize active data integration. For this sake, we design and develop a framework that utilizes Web standards (e.g., XML and Web services) for tackling data heterogeneity, distribution and interoperability issues. Moreover, our framework utilizes Active XML (AXML) to warehouse passive data as well as services to integrate active and dynamic data on-the-fly. AXML embedded services and changes detection services ensure near real-time data integration. Furthermore, the idea of integrating Web data actively and autonomously revolves around mining events logged by the data integration environment. Therefore, we propose an incremental XML-based algorithm for mining association rules from logged events. Then, we define active rules dynamically upon mined data to automate and reactivate

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Web-based real-time decision support system active XML-based metadata

Alrefae

Cao

2014

2014 Global Summit on Computer &Amp; Information Technology (GSCIT)

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Conceptual workflow for complex data integration using AXML

Cited by 4 publications

References 15 publications

Efficient incremental breadth-depth XML event mining

Efficient incremental breadth-depth XML event mining

Active XML-based Web data integration

Web-based real-time decision support system active XML-based metadata

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