# DKMP — International Conference on Data Mining & Knowledge Management Process

- **Submission deadline**: 2023-03-04
- **Notification date**: 2023-03-11
- **Conference date**: 2023-03-18
- **Location**: Vienna, Austria
- **Conference Partner Index**: 46.1/100 (ranked #2539, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 1
- **Attendees**: 1
- **Canonical page**: https://www.myhuiban.com/conference/3565

## Call for papers

11th International Conference on Data Mining & Knowledge Management Process (DKMP 2023) March 18 ~ 19, 2023, Vienna, Austria http://ccsea2023.org/dkmp/index Scope & Topics 11th International Conference on Data Mining & Knowledge Management Process (DKMP 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern data mining concepts and establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications. 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, 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 through the conference Submission System by March 04, 2023. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DKMP 2023, after further revisions, will be published in the special issue of the following journals. • International Journal of Database Management Systems (IJDMS) - INSPEC, WJCI Indexed • International Journal of Data Mining & Knowledge Management Process (IJDKP) • International Journal of Web & Semantic Technology (IJWesT) • International Journal of Grid Computing & Applications (IJGCA) • Computer Applications: An International Journal (CAIJ) • Information Technology in Industry (ITII) Important Dates Submission Deadline : March 04, 2023 Authors Notification : March 11, 2023 Final Manuscript Due : March 14, 2023 Contact Us: dkmp@ccsea2023.org

## Related conferences

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## Related journals

- International Journal of Data Mining & Knowledge Management Process — https://www.myhuiban.com/journal/272
- Journal of Process Control — https://www.myhuiban.com/journal/765
- International Journal of Data Mining, Modelling and Management — https://www.myhuiban.com/journal/1023
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227

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