9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020)

July 11~12, 2020, Toronto, Canada

Scope

9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020)

Topics

Data Mining Applications,Data Mining Foundations,Knowledge Processing

Submission System

Authors are invited to submit papers through the Submission System.

Proceedings

Hard copy of the proceedings will be distributed during the Conference.


Welcome to CDKP-2020!

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

Scope Call for ParticipationNew Program ScheduleNew

9th International Conference on Data Mining & Knowledge Management Process (CDKP 2020) 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

  • 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

  • Big Data & Data mining techniques

Proceedings

The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT) series(Confirmed). Hard copy of the proceedings will be distributed during the Conference.

Sponsers

Invited Talk

Rituparna Datta

University of South Alabama, USA

Saroja Kanchi

Kettering University, USA

Janusz Bobulski

Czestochowa University of Technology,

Poland

Hussain Attia

American University of Ras al Khaimah,

United Arab Emirates

Anupriya Vysala

Bowie State University,

USA

James B. Holliday

University of Arkansas,

USA

Karel Fraňa

Technical University of Liberec,

Czech Republic

Mohammad Shojaeshafiei

University of Alabama in Huntsville,

USA

Gholam Aghashirin

Oakland University,

USA

Gerald Onwujekwe

Virginia Commonwealth University,

USA

Sergio Santiago Rentería Aguilar

Tecnológico de Monterrey,

Mexico

Gopi Krishna Erabati

University of Coimbra,

Portugal

Brian Huang

Foxit Software Inc.,

Taiwan

Souhila Silmi

USTHB University,

Algeria

Parth Patel

Laurentian University,

Canada

Muhammad Azam

University of Victoria,

Canada

Sal Barbosa

Middle Tennessee State University,

USA

Raid Saabni

The Academic College of Tel-Aviv Yaffo,

Israel

Orçun Oruç

Technische Universität Dresden,

Germany

Ganga Prasad Basyal

Dakota State University,

USA