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

  in Conferences   Posted on December 30, 2018

Conference Information

Submission Deadline Thursday 28 Feb 2019
Conference & Submission Link http://www.dataconference.org/
Conference Dates Jul 26, 2019 - Jul 28, 2019
Conference Address Prague, Czech Republic
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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.

IMPORTANT DATES:

Regular Paper Submission: February 28, 2019

Authors Notification (regular papers): May 2, 2019

Final Regular Paper Submission and Registration: May 16, 2019

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 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

– 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

DATA CONFERENCE CHAIR:

Jorge Bernardino, Polytechnic Institute of Coimbra – ISEC, Portugal

DATA PROGRAM CO-CHAIRS:

Slimane Hammoudi, ESEO, MODESTE, France

Christoph Quix, Fraunhofer FIT and RWTH Aachen University, Germany

PROGRAM COMMITTEE

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

DATA Secretariat

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

Tel: +351 265 520 185

Fax: +351 265 520 186

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

e-mail: data.secretariat@insticc.org

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