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DATA 2024 : 13th International Conference on Data Science, Technology and Applications

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Conference Series : International Conference on Data Technologies and Applications
 
Link: https://data.scitevents.org/
 
When Jul 9, 2024 - Jul 11, 2024
Where Dijon, France
Submission Deadline Apr 1, 2024
Notification Due May 8, 2024
Final Version Due May 21, 2024
Categories    business analytics   data management   big data   data science
 

Call For Papers

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 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. DATA SCIENCE
3. DATA MANAGEMENT AND QUALITY
4. BIG DATA
5. DATABASES AND DATA SECURITY


AREA 1: BUSINESS ANALYTICS

Business Intelligence
Change Detection
Data Analytics
Data Governance
Data Warehouse Management
Decision Support Systems
Dimensional Modelling
Information Integration
Information Retrieval
Semi-Structured and Unstructured Data
Statistics Exploratory Data Analysis
Text Analytics
Web Analytics

AREA 2: DATA SCIENCE

Data Fusion
Data Mining
Data Science
Deep Learning
Evolutionary Computing and Optimization
Feature Selection
Fuzzy Computing
Granular Computing
Hybrid Methods
Neural Network Applications
Pattern Recognition
Predictive Modelling
Process Mining
Support Vector Machines

AREA 3: DATA MANAGEMENT AND QUALITY

Architectural Concepts
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
Linked Data
Management of Sensor Data
Mobile Data Management
Modeling and Managing Large Data Systems
Open Data
Organizational Concepts and Best Practices
Semantic Web Technologies for Data Management
Smart Cities and Urban Data Analytics
Transparency in Research Data

AREA 4: BIG DATA

Big Data Applications
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
Edge Computing
Energy-Efficient Computing
Information Visualization
In-Memory Databases
In-Network Data Processing
Machine Learning with Big Data
New Computational Models for Big Data
New Data Standards
Reinforcement Learning with Big Data
Social Data Analytics
Social Web Search and Mining
AREA 5: DATABASES AND DATA SECURITY

Data Integrity
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
WWW and Databases
KEYNOTE SPEAKERS
DATA 2024 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

PAPER SUBMISSION
Authors can submit their work in the form of a complete paper or an abstract, but please note that accepted abstracts are presented but not published in the proceedings of the conference. Complete papers can be submitted as a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas.

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.

When submitting a complete paper please note that only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.

All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

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