CiDaS aims at providing first class environment for data scientists and other related areas and disciplines, who use data science innovations in their field, to brainstorm and share their novel research results. This is not limited only to scientists and academics, but also industries and organisations. To this aim, we accept applied as well as fundamental research papers. Survey papers are also welcome to this conference. We would also welcome papers that show the application of novel data science and big data techniques and tools in other areas such as healthcare, manufacturing, finance and etc. Main topics to be addressed in the CiDaS conference include, but not limited to:

Big Data Analysis

Linked Open Data
Scalable Machine Learning
Distributed Data Storage and Analysis
Algorithmic and Statistical Techniques for Big Data
Privacy and Ethics

Machine Learning and Data science

Deep Learning
Text Mining and Natural Language Processing
Statistical Pattern Recognition
Statistical Models in Data Science
Probabilistic graphical models

Semantic Data Science

Knowledge Discovery
Semantic Technologies
Novel Information Retrieval
Linked data and Semantic Web
Ontologies
Graph and Network Analysis

Applied Data Science

Computer vision
Biological data analysis and Bioinformatics
Social network analysis
Large Scale Data retrieval and analysis in Smart Cities
Data Science for Gamification
IoT and WoT
Industry 4.0
Malware detection

All submissions should be in English. All accepted full papers will be published as a book chapter by Springer (tbc). Authors are requested to use the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer's Author Instructions. Submissions should be in PDF format. Two types of submissions will be accepted: (1) Full paper and (2) Short paper. Full paper submissions are not allowed to exceed 11 pages including references. Short paper submissions should be maximum 6 pages. At least one author of accepted papers should register to the conference and present the paper. All accepted papers should be presented in the conference. “No Show” papers will not appear in the conference publications.