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.

Data Mining & Machine learning Tasks

Machine Learning Applications, Learning in knowledge-intensive systems, Learning Methods andanalysis, Learning Problems, Deep Learning

Big Data

Big Data Algorithms, Big Data Fundamentals, Infrastructures for Big Data, Big Data Management and Frameworks, Big Data Search, Big Data security, Big Data Applications

Cloud Computing

Cloud Application, Infrastructure and Platforms, Design Tool for Cloud Computing, Cloud Business, Service-Oriented Architecture in Cloud Computing, Cloud Based, Parallel Processing, Virtualization on Platforms in the Cloud, Location Based Services, Presence, Availability, and Locality, Mobile Clouds for New Millennium, Mobile Devices, Social Clouds (Social Networks in the Cloud), Maintenance and Management of Cloud Computing Cloud Computing Architecture, Cloud Applications in Vertical Industries, Cloud Storage and File Systems, Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing, Platforms, System Integration, Virtual Compute Clusters, Consolidation NoSQL Data Stores, Performance, SLA Management and Enforcement, Resource Provisioning, Security Techniques for the Cloud, Energy Management and Programming Environments, Data storage and Management in Cloud Computing, Case Studies and Theories in Cloud Computing, The Open Cloud: Cloud Computing and Open Source.

Selected papers from DSCC 2020, after further revisions, will be published in the special issue of the following journal.

• International Journal of Data Mining & Knowledge Management Process (IJDKP)

• International Journal of Database Management Systems (IJDMS)

• International Journal on Cloud Computing: Services and Architecture (IJCCSA)

Speakers

Sponsors