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6th International Conference on Data Mining and Database Management Systems (DMDBS 2020)

DMDBS 2020

Categories

Date of beginning

Friday, 18 December 2020

Duration

2 days

Deadline for abstracts

Saturday, 28 November 2020

City

Sydney, Australia

Country

Australia

Contact

dmdbs@csea2020.org

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

100

Memo

December 18 ~ 19, 2020, Sydney, Australia https://csea2020.org/dmdbs/index.html Scope 6th International Conference on Data Mining and Database Management Systems (DMDBS 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 Data mining and Applications. Topics of interest include, but are not limited to, the following : Algorithms and Bioinformatics Data Mining Data mining Applications Data mining in modeling, visualization, personalization, and recommendation Data mining systems and platforms, efficiency, scalability, and privacy Foundations, algorithms, models, and theory Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia Knowledge processing Database Management Systems Constraint Modelling and Processing Data and Information Integration & Modelling Data and Information Networks Data and Information Privacy and Security Data and Information Quality Data and Information Semantics Data and Information Streams Data Management in Grid and P2P Systems Data Mining Algorithms Data Mining Systems, Data Warehousing, OLAP Data Structures and Data Management Algorithms Database and Information System Architecture and Performance DB Systems & Applications Digital Libraries Distributed, Parallel, P2P, and Grid-based Databases Electronic Commerce and Web Technologies Electronic Government & eParticipation 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 Modelling 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 Modelling 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 November 28, 2020. 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 DMDBS 2020, after further revisions, will be published in the special issues of the following journals International Journal of Computer Networks & Communications (IJCNC) - ERA Listed, Scopus Indexed International journal of computer science & information Technology (IJCSIT) - INSPEC Indexed International Journal of Database Management Systems (IJDMS) International Journal of Data Mining & Knowledge Management Process (IJDKP) Information Technology in Industry (ITII)New- ESCI(WOS) Indexed Important Dates Submission Deadline : November 28, 2020 Authors Notification : December 10, 2020 Registration & Camera-Ready Paper Due : December 15, 2020 Contact Us Here's where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.