8th International Conference on Data Science, Tech & Applications (ins) AS

8th International Conference on Data Science, Tech & Applications (ins) AS
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Date/Time
Date(s) - 26/07/2019 - 28/07/2019
8:00 am - 5:00 pm

Location
Prague

Categories


Upcoming Deadlines
Regular Paper Submission: February 28, 2019
Regular Paper Authors Notification: May 2, 2019
Regular Paper Camera Ready and Registration: May 16, 2019

The purpose of the 8th International Conference on Data Science, Technology and Applications (DATA) which purpose 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.

 

Conference Areas
1 . Business Analytics
2 . Soft Computing in Data Science
3 . Data Management and Quality
4 . Big Data
5 . Databases and Data Security

 

Conference Chair
Jorge Bernardino, Polytechnic Institute of Coimbra – ISEC, Portugal

 

PROGRAM CO-CHAIRS
Slimane Hammoudi, ESEO, MODESTE, France
Christoph Quix, Fraunhofer FIT and RWTH Aachen University, Germany

SCOPE

The purpose of the 8th International Conference on Data Science, Technology and Applications (DATA) which purpose 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 AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. BUSINESS ANALYTICS
2. SOFT COMPUTING IN DATA SCIENCE
3. DATA MANAGEMENT AND QUALITY
4. BIG DATA
5. DATABASES AND DATA SECURITY

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
  • Datamining
  • 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
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