ARTICLE SUBMISSION-International Journal of Data Mining & Knowledge Management Process (IJDKP)
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This document is a call for papers for the International Journal of Data Mining & Knowledge Management Process. It provides details on topics of interest including data mining foundations, applications, and knowledge processing. Authors are invited to submit original papers by May 20, 2023. The journal aims to provide a peer-reviewed forum for researchers to present advances in extracting useful information from growing data volumes.
![International Journal of Data Mining & Knowledge Management Process
(IJDKP)
*******WJCI Indexed******
ISSN: 2230 - 9608[Online]; 2231 - 007X [Print]
http://airccse.org/journal/ijdkp/ijdkp.html
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
theoriesand tools to assist researchers in extracting useful information from the rapidly growing volumes
of digitaldata.
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.
Topics of interest include, but are not limited to, the following
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, LAP 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 informationsources
Paper submission
Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or
ijdkpjournal@airccse.org. Submissions must be original and should not havebeen published previously
orbe under consideration for publication while being evaluated for this Journal.](https://image.slidesharecdn.com/ijdkpcfp12-230515063342-52bea6a2/85/ARTICLE-SUBMISSION-International-Journal-of-Data-Mining-Knowledge-Management-Process-IJDKP-1-320.jpg)
ARTICLE SUBMISSION-International Journal of Data Mining & Knowledge Management Process (IJDKP)
- 1. International Journal of Data Mining & Knowledge Management Process (IJDKP) *******WJCI Indexed****** ISSN: 2230 - 9608[Online]; 2231 - 007X [Print] http://airccse.org/journal/ijdkp/ijdkp.html 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 theoriesand tools to assist researchers in extracting useful information from the rapidly growing volumes of digitaldata. 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. Topics of interest include, but are not limited to, the following 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, LAP 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 informationsources Paper submission Authors are invited to submit papers for this journal through e-mail ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org. Submissions must be original and should not havebeen published previously orbe under consideration for publication while being evaluated for this Journal.
- 2. Important Dates Submission Deadline : May 20,2023 Authors Notification : June 20, 2023 Registration & Camera-Ready Paper Due : June 28, 2023 Publication Date: Determined by the Editor-in-Chief For other details please visit : http://airccse.org/journal/ijdkp/ijdkp.html Contact Us: Here's where you can reach us ijdkpjournal@yahoo.com or ijdkpjournal@airccse.org or ijdkp@aircconline.com Submission Link: https://airccse.com/submissioncs/home.html Visit Our Other Journal https://airccse.org/journal/ijwest/ijwest.html