DATA 2023 (International Conference on Data Science, Technology and Applications) is an academic conference held in Rome, Italy on 2023-07-11. The paper submission deadline is 2023-02-23. Acceptance notifications are sent on 2023-04-21.
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 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
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