Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management

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Banaz Anwer Qader
Banaz Anwer Qader
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Dr. Murtadha M. Hamad
Dr. Murtadha M. Hamad
α University of Anbar

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Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management

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Abstract

Over the recent years, a great interest has appeared in studying ” knowledge warehouse (KW) , decision support system (DSS) , data mining (DM) , and knowledge discovery process in database (KDD)” , taking into consideration that each of these fields is related to and influenced by the others. In order to manage an enterprise resources, there is a necessary need to build a DSS which helps the manager or the decision maker in the decision making and managing processes. While the primary goal of a (KW) is to provide the decision-maker with an intelligent analysis platform that enhances all phases of the knowledge management process , the (KDD) process should be applied to discover knowledge and build (KW) , where (DM) technique is considered the most important step in the process (KDD).

References

16 Cites in Article
  1. R Hamid,David Nemati,Lakshmi Steiger,Richard Iyer,Herschel (2002). Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing.
  2. Ahmed Bahgat El Seddawy1,Dr Ayman Khedr2,Prof Dr,Turky Sultan (2012). Adapted Framework for Data Mining Technique to Improve Decision Support System in an Uncertain Situation.
  3. R Hamid,David Nemati,Lakshmi Steiger,Richard Iyer,Herschel (2009). Knowledge Warehouse: An Architectural Integration of Knowledge Management, Decision Support, Data Mining and Data Warehousing.
  4. Mir Sajjad,Hussain Talpur,Hina Shafi Chandio,Sher Chandio,Hira Sajjad Talpur (2012). Knowledge Warehouse Framework.
  5. Anthony Dymond,Dymond,Llc Associates,Concord,Ca (2008). The Knowledge Warehouse: The Next Step Beyond the Data Warehouse.
  6. Abdul-Aziz Rashid Al-Azmi,Kuwait University (2013). DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY.
  7. Yongjian Fu (1997). Data Mining : Tasks , Techniques , And Applications.
  8. J Daniel,Frada Power,Ramesh Burstein,Sharda (2011). Reflections on the Past and Future of Decision Support Systems: Perspective of Eleven Pioneers.
  9. S Suresh,Prof Naidu,S Kiran (2012). An XML Based Knowledge-Driven Decision Support System For Design Pattern Selection.
  10. Michael Yacci (1999). The Knowledge Warehouses Reusing Knowledge Components.
  11. Joseph Firestone,Ph (1999). Knowledge Base Management Systems and The Knowledge Warehouse: A (Strawman).
  12. Michael Goebel,Le Gruenwald (1999). A survey of data mining and knowledge discovery software tools.
  13. Max Bramer (2007). the book "Principles of Data Mining.
  14. Cmput the book.
  15. R Osmar,Zaïane (1999). Schindler, Osmar.
  16. Gaurav Rupali,Gupta Data Mining: Techniques, Applications and Issues.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Banaz Anwer Qader. 2014. \u201cKnowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 13 (GJMBR Volume 13 Issue E10): .

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Issue Cover
GJMBR Volume 13 Issue E10
Pg. 35- 41
Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Version of record

v1.2

Issue date

January 6, 2014

Language
en
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Over the recent years, a great interest has appeared in studying ” knowledge warehouse (KW) , decision support system (DSS) , data mining (DM) , and knowledge discovery process in database (KDD)” , taking into consideration that each of these fields is related to and influenced by the others. In order to manage an enterprise resources, there is a necessary need to build a DSS which helps the manager or the decision maker in the decision making and managing processes. While the primary goal of a (KW) is to provide the decision-maker with an intelligent analysis platform that enhances all phases of the knowledge management process , the (KDD) process should be applied to discover knowledge and build (KW) , where (DM) technique is considered the most important step in the process (KDD).

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Knowledge-Driven Decision Support System based on Knowledge Warehouse and Data Mining for Market Management

Dr. Murtadha M. Hamad
Dr. Murtadha M. Hamad
Banaz Anwer Qader
Banaz Anwer Qader University of Anbar

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