9th International Conference on Data Mining & Knowledge Management (DaKM 2024)
Event Details
9th International Conference on Data Mining & Knowledge Management (DaKM 2024)
9th International Conference on Data Mining & Knowledge Management (DaKM 2024)
September 21-22, 2024, Copenhagen, Denmark
https://ccsit2024.org/dakm/index
Scope & Topics
9th International Conference on Data Mining & Knowledge Management (DaKM 2024) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
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 following areas, but are not limited to.
Topics of interest include, but are not limited to, the following
• Data Mining Foundations
• Biometrics
• Clustering
• Data Mining Applications
• Data Streams Mining, Graph Mining
• Databases, Bioinformatics
• Educational Data Mining
• Financial Modeling
• Forecasting, Classification
• Image Analysis
• Multimedia Data Mining, Web Mining
• Parallel and Distributed Data Mining Algorithms
• Pre-processing Techniques, Visualization
• Security and Information Hiding in Data Mining
• Social Networks
• Spatial Data Mining, Text Video
• Knowledge Processing
• Consistent Data Model
• Consolidating, and Explaining Discovered Knowledge
• Data and Knowledge Representation
• Exploring Data Analysis, Inference of Causes
• Including Pre- and Post-processing
• Integrating Constraints and Knowledge in the KDD Process
• Integration of Data Warehousing
• Interactive Data Exploration/visualization and Discovery
• Knowledge Discovery Framework and Process
• Languages and Interfaces for Data Mining
• Mining from Low-Quality Information Sources
• Mining Trends
• OLAP and Data Mining
• Opportunities and Risks
• Prediction, Evaluating
• Statistical Techniques for Generation a Robust
Paper Submission
Authors are invited to submit papers through the conference Submission System by September 14, 2024(Final Call). 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 DaKM 2024, after further revisions, will be published in the special issues of the following journals.
• International Journal of Database Management Systems (IJDMS) - WJCI Indexed
• International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed
• International Journal of Grid Computing & Applications (IJGCA)
• Information Technology in Industry (ITII)
Important Dates
• Submission Deadline : September 14, 2024 (Final Call)
• Authors Notification : September 19, 2024
• Final Manuscript Due :September 20, 2024
Contact Us:
Here's where you can reach us : [email protected] (or) [email protected]
September 21-22, 2024, Copenhagen, Denmark
https://ccsit2024.org/dakm/index
Scope & Topics
9th International Conference on Data Mining & Knowledge Management (DaKM 2024) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.
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 following areas, but are not limited to.
Topics of interest include, but are not limited to, the following
• Data Mining Foundations
• Biometrics
• Clustering
• Data Mining Applications
• Data Streams Mining, Graph Mining
• Databases, Bioinformatics
• Educational Data Mining
• Financial Modeling
• Forecasting, Classification
• Image Analysis
• Multimedia Data Mining, Web Mining
• Parallel and Distributed Data Mining Algorithms
• Pre-processing Techniques, Visualization
• Security and Information Hiding in Data Mining
• Social Networks
• Spatial Data Mining, Text Video
• Knowledge Processing
• Consistent Data Model
• Consolidating, and Explaining Discovered Knowledge
• Data and Knowledge Representation
• Exploring Data Analysis, Inference of Causes
• Including Pre- and Post-processing
• Integrating Constraints and Knowledge in the KDD Process
• Integration of Data Warehousing
• Interactive Data Exploration/visualization and Discovery
• Knowledge Discovery Framework and Process
• Languages and Interfaces for Data Mining
• Mining from Low-Quality Information Sources
• Mining Trends
• OLAP and Data Mining
• Opportunities and Risks
• Prediction, Evaluating
• Statistical Techniques for Generation a Robust
Paper Submission
Authors are invited to submit papers through the conference Submission System by September 14, 2024(Final Call). 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 DaKM 2024, after further revisions, will be published in the special issues of the following journals.
• International Journal of Database Management Systems (IJDMS) - WJCI Indexed
• International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed
• International Journal of Grid Computing & Applications (IJGCA)
• Information Technology in Industry (ITII)
Important Dates
• Submission Deadline : September 14, 2024 (Final Call)
• Authors Notification : September 19, 2024
• Final Manuscript Due :September 20, 2024
Contact Us:
Here's where you can reach us : [email protected] (or) [email protected]
Entry Fees
Free Registration
Categories
Event Frequency
Weekly
Event Timings
(GMT+5:30) Mumbai, Kolkata, New Delhi
10:00 AM - 06:00 PM (Sep 21, Sep 22) (General)
Organizer
9th International Conference on Data Mining & Knowledge Management (DaKM 2024)
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Event Location
Denmark
, Denmark
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