8th International Conference on Data Mining & Knowledge Management Process (DKMP 2020)

July 25-26, 2020, London, United Kingdom

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

Scope & Topics Call for Participation Program Schedule

8th International Conference on Data Mining & Knowledge Management Process (DKMP 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern data mining concepts and establishing new collaborations in these areas.

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 areas of Data Mining and knowledge management process.

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 CLOSED.

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).

Courtesy

Invited Talk

Natarajan Meghanathan

Jackson State University, USA

Shawon S. M. Rahman

University of Hawaii-Hilo, USA

David C. Wyld

Southeastern Louisiana University, USA

Speakers

Sudeep Kumar

eBay Inc, USA

Deepak Kumar Vasthimal

eBay Inc, USA

Chia-Min Lai

Institute for Information Industry, Taiwan

Minh Tri Tran

Gunma University, Japan

Jan Stodt

Hochschule Furtwangen University,

Germany

Kevin Wallis

University of Applied Science Furtwangen, Germany

Amulya Sri Pulijala

IIIT Hyderabad, India

Raimundas Savukynas

Vilnius University, Lithuania

Amr Adel

Whitecliffe College of Technology & Innovation, New Zealand

John Kalung Leung

George Mason University,

USA

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library