DATA 2021 : 10th International Conference on Data Science, Technology and Applications

CALL FOR PAPERS

10th International Conference on Data Science, Technology and Applications DATA

website: http://www.dataconference.org

July 6 – 8, 2021 Lieusaint – Paris, France

Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Conference Proceedings Citation Index.

IMPORTANT DATES:

Regular Paper Submission: February 16, 2021

Authors Notification (regular papers): April 15, 2021

Final Regular Paper Submission and Registration: April 29, 2021

Position Paper Submission: April 1, 2021

Authors Notification (position papers): May 6, 2021

Final Regular Paper Submission and Registration: May 19, 2021

Scope:

The purpose of the International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data. Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Accepted papers, presented at the conference by one of the authors, will be published in the conference proceedings. Acceptance will be based on quality, relevance and originality. Both full research papers and work-in-progress are welcome. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as demos or tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

Conference Topics:

Area 1: Business Analytics

– Business Intelligence

– Statistics Exploratory Data Analysis

– Text Analytics

– Web Analytics

– Change Detection

– Data Analytics

– Data Warehouse Management

– Decision Support Systems

– Dimensional Modelling

– Information Integration

– Information Retrieval

– Semi-Structured and Unstructured Data

– Data Governance

Area 2: Data Science

– Data Fusion

– Pattern Recognition

– Predictive Modelling

– Support Vector Machines

– Data Science

– Data Mining

– Deep Learning

– Evolutionary Computing and Optimization

– Feature Selection

– Fuzzy Computing

– Hybrid Methods

– Neural Network Applications

– Process Mining

– Granular Computing

Area 3: Data Management and Quality

– Architectural Concepts

– Mobile Data Management

– Modeling and Managing Large Data Systems

– Open Data

– Organizational Concepts and Best Practices

– Smart Cities and Urban Data Analytics

– Transparency in Research Data

– City Data Management

– Data and Information Quality

– Data Management for Analytics

– Data Modeling and Visualization

– Data Structures and Data Management Algorithms

– Data Virtualization

– Industry 4.0

– Management of Sensor Data

– Linked Data

– Semantic Web Technologies for Data Management

Area 4: Big Data

– Big Data Applications

– New Computational Models for Big Data

– New Data Standards

– Social Data Analytics

– Social Web Search and Mining

– Big Data as a Service

– Big Data Infrastructure

– Big Data Search and Mining

– Big Data Security, Privacy and Trust

– Cloud/Grid/Stream Computing for Big Data

– Data and Information Quality for Big Data

– Deep Learning and Big Data

– Information Visualization

– Edge Computing

– In-Network Data Processing

– Energy-Efficient Computing

– In-Memory Databases

Area 5: Databases and Data Security

– Data Integrity

– WWW and Databases

– Data Privacy and Security

– Database Architecture and Performance

– Large Scale Databases

– Mobile Databases

– NoSQL Databases

– Object-Oriented Database Systems

– Open Source Databases

– Query Processing and Optimization

DATA CONFERENCE CHAIR:

Slimane Hammoudi, ESEO, ERIS, France

DATA PROGRAM CHAIR:

Christoph Quix, Hochschule Niederrhein, University of Applied Sciences and Fraunhofer FIT, Germany

PROGRAM COMMITTEE

http://www.dataconference.org/ProgramCommittee.aspx

DATA Secretariat

Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C

Tel: +351 265 520 185

Fax: +351 265 520 186

Web: http://www.dataconference.org

e-mail: data.secretariat@insticc.org