| Editor in Chief: Dr. Adela S.M. Lau |
ISSN online: 1755-2095
ISSN print: 1755-2087
4 issues per year
IJKEDM publishes theoretical and practical research development on knowledge engineering and data mining. The journal is devoted to techniques and skills used for knowledgebase systems or intelligent applications development, including all areas of data architecture, data integration and data exchange, data mining, knowledge acquisition, representation, dissemination, codification and discovery techniques, and their technologies. It also focuses on their applications and case studies in industrial, medical and business sectors.
- Ontology engineering
- Knowledge representation techniques
- Knowledge retrieval
- Text mining
- Knowledge-based/rule-based/case-based/expert system design
- Knowledge acquisition, dissemination, discovery methodologies and technologies
- Algorithms for data mining
- Data models
- Database design and architecture
- Intelligent system design
- Data integration and exchange
- Data security and data integrity
- Database administration and maintenance issues
- Applications and case studies
More on this journal...
The objectives of IJKEDM are to establish an effective channel of communication between managers, users, knowledge engineers, IT professionals, medical informaticians, academic and research institutions and persons concerned with the development knowledgebase systems and intelligent applications. It also aims to promote and coordinate developments in the field of knowledge engineering and data mining. IJKEDM aims to highlight theoretical and practical research in data analysis architectures, models, methodologies, techniques and technologies in knowledge engineering and data mining, and their application. Readership
IJKEDM provides a vehicle to help business analysts, knowledge engineers, IT professionals, medical informaticians, academics and researchers to disseminate information and to learn from each other's work. Readers will be able to learn and obtain techniques and skills in knowledge engineering and data mining. Readers will learn future directions and research development in data analysis, data integration and exchange, data mining techniques, knowledge acquisition, representation and discovery in knowledgebase system, and their applications.Contents
IJKEDM is devoted to the publications of high quality papers on theoretical developments and practical applications in knowledge engineering and data mining. The journal publishes original papers, state-of-the-art reviews, technical reports and case studies. Special issues devoted to current issues in knowledge engineering and data mining will occasionally be published.
Browse issuesVol. 2
IJKEDM is indexed in:
IJKEDM is listed in:
Editor in Chief
- Lau, Adela S.M., The Hong Kong University of Science and Technology, Hong Kong
- Lui, Willie, Carrier HK Ltd, Hong Kong
- Arabnia, Hamid R., University of Georgia, USA
- Davis, Joseph, The University of Sydney, Australia
- Ebrahimpour, Maling, Roger Williams University, USA
- Eyob, Ephrem, Virginia State University, USA
- Hsu, Wynne, National University of Singapore, Singapore
- Kijima, Kyoichi Jim, Tokyo Institute of Technology, Japan
- Lee, Chi-Guhn, University of Toronto, Canada
- Lee, Jay, University of Cincinnati, USA
- Li, Jinyan, Nanyang Technological University, Singapore
- Lin, Binshan, Louisiana State University in Shreveport, USA
- Lu, Jye-Chyi (JC), Georgia Institute of Technology, USA
- Mastorakis, Nikos, Hellenic Naval Academy, Greece
- Nakamor, Yoshiteru, Japan Advanced Institute of Science and Technology, Japan
- Patrick, Brézillon, Pierre et Marie Curie University, France
- Song, William Wei, Dalarna University, Sweden
- Zadeh, Lotfi A., University of California, Berkeley, USA
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (taken to mean more than 50%) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- All our articles are refereed through a double-blind process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors is available.
All articles for this journal must be submitted using our online submissions system.
Read our information on preparing and submitting articles.