posted by user: Busra || 7888 views || tracked by 4 users: [display]

DaKM 2023 : 8th International Conference on Data Mining & Knowledge Management

FacebookTwitterLinkedInGoogle

Link: https://ccsit2023.org/dakm/index
 
When Jul 22, 2023 - Jul 23, 2023
Where Toronto, Canada
Submission Deadline Jul 8, 2023
Notification Due Jul 15, 2023
Final Version Due Jul 18, 2023
Categories    data mining   knowledge management   image analysis   social networks
 

Call For Papers

8th International Conference on Data Mining & Knowledge Management (DaKM 2023)

July 22 ~ 23, 2023, Toronto, Canada

Scope & Topics

8thInternational Conference on Data Mining & Knowledge Management (DaKM 2023) 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 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
  • 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 July 08, 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 DaKM 2023, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: July 08, 2023
Authors Notification: July 15, 2023
Final Manuscript Due: July 18, 2023

Co - Located Events

***** The invited talk proposals can be submitted to dakm@ccsit2023.org




Related Resources

Ei/Scopus-ITCC 2026   2026 6th International Conference on Information Technology and Cloud Computing (ITCC 2026)
KDD 2026   32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
AMLDS 2026   IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science
Ei/Scopus-EECT 2026   2026 IEEE 6th International Conference on Advances in Electrical, Electronics and Computing Technology (EECT 2026)
Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
Ei/Scopus-CMLDS 2026   2026 3rd International Conference on Computing, Machine Learning and Data Science (CMLDS 2026)
PAKDD 2026   30th Pacific-Asia Conference on Knowledge Discovery and Data Mining
EMAC 2025   2025 2nd International Conference on Education, Management and Art and Culture
RTME 2026   11th International Conference on Recent Trends in Mechanical Engineering
2nd ICIMITAI 2026   The 2nd International Conference on Information Management, IT & AI (ICIMITAI) for Business, Management, Finance, Industries, Innovation & Education