8th International Conference on Data Science, Technology and Applications - DATA 2019, Prague

Praag, Tsjechië
© Anton Bussemaker
date July 26, 2019 - July 28, 2019
city Prague, Czech Republic
organisation Community Research and Development Information Service (CORDIS) i

8th International Conference on Data Science, Technology and Applications - DATA 2019

Contributed by: INSTICC

From 2019-07-26 to 2019-07-28, Czechia

The purpose of the 8th International Conference on Data Science, Technology and Applications (DATA) is to bring together researchers, engineers and practitioners interested in databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.


8th International Conference on Data Science, Technology and Applications DATA

Website: http://www.dataconference.org/

July 26 - 28, 2019 Prague, Czech Republic

Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar.


Regular Paper Submission: February 28, 2019

Authors Notification (regular papers): May 2, 2019

Final Regular Paper Submission and Registration: May 16, 2019

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

Area 2: Soft Computing in 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

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

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

Area 5: Databases and Data Security

  • Data Integrity
  • Workflow Management and Databases
  • 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


Jorge Bernardino, Polytechnic Institute of Coimbra - ISEC, Portugal


Slimane Hammoudi, ESEO, MODESTE, France

Christoph Quix, Fraunhofer FIT and RWTH Aachen University, Germany



DATA Secretariat

Address: Av. D. Manuel I, 27A, 2º esq.

Tel: +351 265 520 185

Fax: +351 265 520 186

Web: http://www.dataconference.org/

e-mail: data.secretariat@insticc.org




Av. D. Manuel I, 27A, 2º esq.

2910-595 Setubal




Cátia Pires


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