Welcome to DBDM 2024

12th International Conference on Database and Data Mining (DBDM 2024)

January 27 ~ 28, 2024, Copenhagen, Denmark

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Copenhagen, Denmark

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Scope Call for Participation Program Schedule

12th International Conference on Database and Data Mining (DBDM 2024) Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.


Call for Papers


12th International Conference on Database and Data Mining (DBDM 2024) Conference 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
  • Data Mining Foundations
  • Data Mining Applications
  • Knowledge Processing
  • Database
  • Constraint Modeling and Processing
  • Data and Information Integration & Modeling
  • Data and Information Privacy and Security
  • Data and Information Quality
  • Data and Information Networks
  • Data and Information Semantics
  • Data and Information Streams
  • Data Management in Grid and P2P Systems
  • Data Mining Algorithms
  • Data Mining Systems, Data Warehousing, OLAP
  • Database and Information System Architecture and Performance
  • Data Structures and Data Management Algorithms
  • DB Systems & Applications
  • Digital Libraries
  • Distributed, Parallel, P2P and Grid-based Databases
  • Electronic Commerce and Web Technologies
  • Electronic Government & E-Participation
  • Expert Systems and Decision Support Systems
  • Expert Systems, Decision Support Systems & Applications
  • Information Retrieval and Database Systems
  • Information Systems
  • Interoperability
  • Knowledge Acquisition, Discovery & Management
  • Knowledge and Information Processing
  • Knowledge Modeling
  • Knowledge Processing
  • Metadata Management
  • Mobile Data and Information
  • Multi-Databases and Database Federation
  • Multimedia, Object, Object Relational and Deductive Databases
  • Pervasive Data and Information
  • Process Modeling
  • Process Support and Automation
  • Query Processing and Optimization
  • Semantic Web and Ontologies
  • Sensor Data Management
  • Statistical and Scientific Databases
  • Temporal, Spatial and High Dimensional Databases
  • Trust, Privacy & Security in Digital Business
  • User Interfaces to Databases and Information Systems
  • Very Large Data Bases
  • Workflow Management and Databases
  • WWW and Databases
  • XML and Databases

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).

Selected papers from DBDM 2024, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch : (Submissions after December 16, 2023)

Submission Deadline

Closed

Authors Notification

January 20, 2024

Registration & camera - Ready Paper Due

January 24, 2024

Proceedings

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

Sponsors





Speakers


Leonardo Rigutini
Expert.ai
Italy


Ricardo de Deijn
Minnesota State University
United States


Xabier Echeberria
Vicomtech Foundation
Spain


Sohini Roy Chowdhury
RCC Institute Of Information Technology
India


Suliman Alnutefy
Marymount University
United States


Douzi Samira
Mohammed V University
Morocco


Hemendra Vyas
New York University
USA