The Framework for Adaptable Data Analysis System Design

  • Olegas Vasilecas
  • Aidas Smaizys
Conference paper

Enterprises today own large databases (DB) and widely use information systems (IS). IS used in business are mostly dedicated to various data input and analysis. The result of data analysis is information contained in specially designed reports, OLAP cubes, etc. Such information is used to track and evaluate the business situation according to the business strategy and tactics and determine conformance to the business policy and rules [10].


Information System Inference Engine Business System Business Rule Business Policy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Barbara von Hale. Business Rules Applied: Building Better Systems Using the Business Rules Approach. John Wiley & Sons, Inc., New York, 2001.Google Scholar
  2. 2.
    Business Rules Group. Defining Business Rules: What are they really? 3rd ed., 2002, URL:
  3. 3.
    Business Rules Group. Defining Business Rules: What is a Business Rule?, 2004, URL:
  4. 4.
    Date C. J. What Not How: The Business Rules Approach to Application Development. AddisonWesley Longman Inc., 2000.Google Scholar
  5. 5.
    Gladys S.W. Lam. Plainly Speaking: What Is a Rule? Business Rules Journal. May 2003, Vol. 4, No. 5. URL:
  6. 6.
    Grosof B., Poon T. SweetDeal: Representing Agent Contracts with Exceptions using Semantic Web Rules, Ontologies, and Process Descriptions.  International Journal of Electronic Commerce, Accepted Journal paper, revised version of Nov. 19, 2003Google Scholar
  7. 7.
    Mahajan S. Building a Data Warehouse Using Oracle OLAP Tools. ACTA Journal, September 1997.Google Scholar
  8. 8.
    Orriens B., Yang J., and Papazoglou M. P. “Model driven service composition”, in: Proceedings of the First International Conference on Service Oriented Computing, Trento, Italy, December 15-18, 2003.Google Scholar
  9. 9.
    Orriens B., Yang J., and Papazoglou M. P. “A Framework for Business Rule Driven Service Composition”, Lecture Notes on Computer Science, Berlin: SpringerVerlag, 2003 [Proceedings of the 4th International Workshop on Conceptual Modeling Approaches for eBusiness Dealing with Business Volatility, Chicago, United States, October 2003].Google Scholar
  10. 10.
    Prakash N., Srivastava S. Engineering Methods For Schema Transformation: Application to XML. IFIP TC8/WG8.1 Working Conference on Engineering Information Systems in the Internet Context, September 25-27, 2002, Kanazawa, Japan. Kluwer Academic publishers, pp. 153-175.Google Scholar
  11. 11.
    Rosca D., Greenspan, S., Wild, C.: Enterprise Modeling and Decision Support for Automating the Business Rules Lifecycle, Automated Software Engineering, Vol. 9, n. 4, pp. 361, 44, 2002.MATHCrossRefGoogle Scholar
  12. 12.
    Ross R., Healy K. Organizing Business Plans. The Standard Model for Business Rule Motivation. Business Rules Group. 2000.Google Scholar
  13. 13.
    Ross R. Principles of the Business Rule Approach. Addison Wesley, 2003.Google Scholar
  14. 14.
    Vasilecas O., Smaizys A. Business rule based knowledge base integrated intelligent system framework. Information Sciences 2005, vol. 34, Vilnius. 2005, pp. 195-200.Google Scholar
  15. 15.
    Vasilecas O., Smaizys A. Business rule specification and transformation for rule based data analysis. Proceedings of 19th International Conference on Systems for Automation of Engineering and Research (SAER 2005), Varna, St. Konstantin resort. 2005, pp. 35-40.Google Scholar
  16. 16.
    Vasilecas O., Smaizys A. Business rule based data analysis for decision support and automation. Proceedings of 7th International Conference on Computer Systems and Technologies (CompSysTech 2006), Varna, 2006Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Olegas Vasilecas
    • 1
  • Aidas Smaizys
    • 1
  1. 1.Department of Information SystemsKlaipeda UniversityLithuania

Personalised recommendations