-------- Original Message -------- Subject: 1st CfP: BUSTECH 2012 || July 22-27, 2011 - Nice, France Date: Mon, 24 Oct 2011 22:40:01 -0400 From: BUSTECH 2012 invitation@iariaevent.org To: neumann@wu-wien.ac.at

INVITATION:

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to BUSTECH 2012.

The submission deadline is set to March 5, 2012.

In addition, authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org

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============== BUSTECH 2012 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

BUSTECH 2012, The Second International Conference on Business Intelligence and Technology

July 22-27, 2011 - Nice, France

General page: http://www.iaria.org/conferences2012/BUSTECH12.html

Call for Papers: http://www.iaria.org/conferences2012/CfPBUSTECH12.html

- regular papers

- short papers (work in progress)

- posters

Submission page: http://www.iaria.org/conferences2012/SubmitBUSTECH12.html

Submission deadline: March 5, 2012

Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org

Please note the Poster and Work in Progress options.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html

BUSTECH 2012 Topics (topics and submission details: see CfP on the site)

Track 1: BPM and Intelligence

Intelligent information systems; Rule-based business intelligence; Intelligent decisions; Business rules and ontology; Business process intelligence; Business process automation; Workflow management; Vocabulary rules semantics; Web Intelligence; Business computational intelligence; Decision Support Systems; Web 2.0/3.0 in business intelligence (Web warehousing, integration, mining, intelligence)

Track 2: Integration and Interoperability

Empirical business research; Enterprise integration; Enterprise interoperability; Evolutionary business process; Real-time business intelligence;

Track 3: Modeling and Simulation

Business process modeling and management; Business for micro, small and large enterprises; Business transactions for large-scale data; Structured and semi-structured processes; Semantics in business modeling; Multidimensional modeling and queries; Business performance management; Business process optimization; Business process simulation; Business process analysis and design; Collaborative, participative, and interactive modeling (CPI Modeling); Modeling methods and languages

Track 4: Technology-oriented business solutions

Data warehouse evolution; Mobile business; Cloud-based business; Service-oriented business; Warehousing stream and sensor data; Health and remote medicine; Business-driven IT management; Data warehousing and industry applications (ERP, CRM, etc.); Business-driven Service Level Management; Business-driven dynamic provisioning; Business-driven inventory management; Business continuity management;

Track 5: Business infrastructure and tools

Hierarchical and non-hierarchical business models; Project management; Business process and project management tools; Operational flexibility-agility; Online Analytical Processing (OLAP) ; Context-aware business process management

Track 6: Features of business/technology development

Traceability and compliance; Business dynamics; Trust and security; Performance and scalability; Data quality and cleansing; Empirical evaluation of business processes; Reuse in business process management; Data warehousing consistency and quality; Usability and accessibility for business intelligence applications

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