posted by user: Busra || 11616 views || tracked by 4 users: [display]

CDKP 2021 : 10th International Conference on Data Mining & Knowledge Management Process

FacebookTwitterLinkedInGoogle

Link: https://icaita2021.org/cdkp/index
 
When Jul 24, 2021 - Jul 25, 2021
Where London, United Kingdom
Submission Deadline Jun 19, 2021
Notification Due Jul 12, 2021
Final Version Due Jul 16, 2021
Categories    data mining   knowledge management   database   BIGDATA
 

Call For Papers

10th International Conference on Data Mining & Knowledge Management Process (CDKP 2021))

July 24~25, 2021, London, United Kingdom

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms.

Scope & Topics

10th International Conference on Data Mining & Knowledge Management Process (CDKP 2021) 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 Applications

  • 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 Foundations

  • Databases
  • Bioinformatics
  • Biometrics
  • 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
  • Opportunities and Risks
  • Languages and Interfaces for Data Mining, Mining Trends
  • Mining from Low-quality Information Sources

Paper Submission

Authors are invited to submit papers through the Submission System by June 19, 2021. 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 CDKP 2021, after further revisions, will be published in the special issues of the following journals.

Important Dates

Submission Deadline:June 19, 2021
Authors Notification: July 12, 2021
Final Manuscript Due: July 16, 2021

Co - Located Event

***** The invited talk proposals can be submitted to cdkp@icaita2021.org

Related Resources

TERA - Eurasia Research 2021   19th ICTEL 2021 – International Conference on Teaching, Education & Learning, 11-12 October, Lisbon
WSDM 2022   Web Search and Data Mining
20th ICTEL October, Dubai 2021   20th ICTEL 2021 – International Conference on Teaching, Education & Learning, 23-24 October, Dubai
IJDPS 2021   International Journal of Distributed and Parallel systems
16th ICTEL Sept, Athens 2021   16th ICTEL 2021 – International Conference on Teaching, Education & Learning, 14-15 September, Athens
IJASSN 2021   International Journal of Advanced Smart Sensor Network Systems
ICKE 2022   2022 8th International Conference on Knowledge Engineering (ICKE 2022)
DTMN 2021   7th International Conference on Data Mining
17th ICTEL Rome 2021   17th ICTEL 2021 – International Conference on Teaching, Education & Learning, 06-07 September, Rome
ML4PM 2021   2nd International Workshop on Leveraging Machine Learning in Process Mining