8th International Conference on Data Mining & Knowledge Management

Saturday, Jul 22, 2023 at 9:00 AM to Sunday, Jul 23, 2023 at 5:00 PM AEST

Sydney, Australia, Sydney, Australia, Sydney, Australia, Sydney, Australia, Sydney, Australia, Sydney, Australia, Australia

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8th International 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.

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Saturday, Jul 22, 2023 at 9:00 AM to Sunday, Jul 23, 2023 at 5:00 PM AEST

Sydney, Australia, Sydney, Australia, Sydney, Australia, Sydney, Australia, Sydney, Australia, Australia.

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

July 22 ~ 23, 2023, Toronto, Canada

https://ccsit2023.org/dakm/index

 

SCOPE

8th International 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

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 November 12, 2022. 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

  • International Journal of Database Management Systems (IJDMS) – WJCI
  • IndexedInternational Journal of Data Mining & Knowledge Management Process (IJDKP) – WJCI
  • IndexedInternational Journal of Grid Computing & Applications (IJGCA)
  • Information Technology in Industry (ITII)

IMPORTANT DATES

  • Submission Deadline : November 12, 2022
  • Authors Notification : December 31, 2022
  • Registration & Camera-Ready Paper Due : January 07, 2023

Contact Us

Here’s where you can reach us : dakm@ccsit2023.org or dakmconf@yahoo.com

Ronan R

8th International 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.

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