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

Citations, h-index, i10-index of IJDKP

Call for Papers

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.

Data mining foundations

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

Data mining Applications

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

Knowledge Processing

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.

Paper Submission

Authors are invited to submit papers for this journal through Email: ijdkpjournal@airccse.org 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.

Important Dates

Related Journal

International Journal of Database Management Systems ( IJDMS )

Current Issue

Petrochemical Production Big Data and its Four Typical Application Paradigms  Full Text
Hu Shaolin, Zhang Qinghua, Su Naiquan and Li Xiwu, Guangdong University of Petrochemical Technology, China

January 2021, Volume 11, Number 1

Apply Machine Learning Methods to Predict Failure of Glaucoma Drainage  Full Text
Jiali Tang, Jack Wang and Ahmad Reza Hadaegh, California State University San Marcos, USA

Partitioning Wide Area Graphs Using a Space Filling Curve  Full Text
Cyprien Gottstein¹, Philippe Raipin Parvedy¹, Michel Hurfin², Thomas Hassan¹ and Thierry Coupaye¹, ¹TGI-OLS-DIESE-LCP-DDSD, Orange Labs, France, ²Univ Rennes, INRIA, France

A Comprehensive Analysis of Quantum Clustering : Finding All the Potential Minima  Full Text
Aude Maignan¹ and Tony Scott², ¹Univ. Grenoble Alpes, CNRS, France, ²RWTH-Aachen University, Germany

Editor In Chief

• Natasa Zivic, University of Siegen,Germany

Editorial Board Members

• 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

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