IJDKP 2019 : International Journal of Data Mining & Knowledge Management Process

International Journal of Data Mining & Knowledge Management Process ( IJDKP )

Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist researchers in extracting useful information from the rapidly growing volumes of digital data.

This Journal provides a forum for researchers who address this issue and to present their work in a peer-reviewed open access forum.Authors are solicited to contribute to the workshop by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Parallel and distributed data mining algorithms, Data streams mining, Graph mining, spatial data mining, Text video, multimedia data mining, Web mining,Pre-processing techniques, Visualization, Security and information hiding in data mining

Databases, Bioinformatics, Biometrics, Image analysis, Financial modeling, Forecasting, Classification, Clustering, Social Networks, Educational data mining.

Data and knowledge representation, Knowledge discovery framework and process, including pre- and post-processing, Integration of data warehousing, OLAP and data mining, Integrating constraints and knowledge in the KDD process , Exploring data analysis, inference of causes, prediction, Evaluating, consolidating, and explaining discovered knowledge, Statistical techniques for generation a robust, consistent data model, Interactive data exploration/visualization and discovery, Languages and interfaces for data mining, Mining Trends, Opportunities and Risks, Mining from low-quality information sources.

Authors are invited to submit papers for this journal through Email: [email protected] or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

International Journal of Database Management Systems ( IJDMS )

July 2019, Volume 9, Number 4

Categorization of Factors Affecting Classification Algorithms Selection  Full Text
Mariam Moustafa Reda, Mohammad Nassef and Akram Salah, Cairo University, Egypt

A Graph Based Approach for Effective Influencer Marketing  Full Text
Salman Ansari, Muhammad Ahsan Tahir and Shahwaiz Bukhari, Techlets Pvt. Ltd, Pakistan

Implementation of Risk Analyzer Model for Undertaking the Risk Analysis of Proposed Building Projects for A Selected Client  Full Text
Ibrahim Yakubu, Abubakar Tafawa Balewa University, Nigeria

Application of Data Mining Technique to Predict Landslides in Sri Lanka  Full Text
Karunanayake K.B.A.A.M and Wijayanayake W.M.J.I, University of Kelaniya, Sri Lanka

• Natasa Zivic,University of Siegen,Germany

• Daniel A.K, M.M.M University of Technology, India
• Krishna Prasad A.V, MVSR Engineering College, India
• Abdelmonaime Lachkar, University Sidi Mohamed Ben Abdellah, Morocco
• Akhil Garg, Nanyang Technological University (NTU), Singapore
• Akira Otsuki, Tokyo Institute of Technology, Japan
• Ali Azimi, Ferdowsi University of Mashhad, Iran