IMPACT SCORE JOURNAL RANKING CONFERENCE RANKING Conferences Journals Workshops Seminars SYMPOSIUMS MEETINGS BLOG LaTeX 5G Tutorial Free Tools
IADSP 2023 : Invited Session on Interdisciplinary Approaches in Data Science Practice
IADSP 2023 : Invited Session on Interdisciplinary Approaches in Data Science Practice

IADSP 2023 : Invited Session on Interdisciplinary Approaches in Data Science Practice

Athens, Greece
Event Date: September 06, 2023 - September 08, 2023
Submission Deadline: April 10, 2023
Notification of Acceptance: May 15, 2023
Camera Ready Version Due: May 29, 2023




Call for Papers

**********************************************************************************************

Invited Session on Interdisciplinary Approaches in Data Science Practice (IADSP 2023)
URL: http://kes2023.kesinternational.org/cmsISdisplay.php (IS06), http://kes2023.kesinternational.org/cms/userfiles/is06.pdf
Deadline for Paper submissions to: 10th of April, 2023

Organized within the framework of the
27th International Conference on on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023)

6 - 8 September, 2023
URL: http://kes2023.kesinternational.org/

***********************************************************************************************


SCOPE & TOPICS


One of the hot issues in many organization systems is how to transform large amounts of daily collected operational data into the useful knowledge from the perspective of declared company goals and expected business values. The main concerns of this invited session are Data Science paradigms, as a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information, knowledge, and value. Various interdisciplinary oriented Data Science approaches may provide organizations the ability to use their data to improve quality of business, increase financial efficiency and operational effectiveness, conduct innovative research and satisfy regulatory requirements. Applications of appropriate Data Science implementation methodologies together with outcomes related to collaborative and interdisciplinary approaches are inevitable when applying Data Science approaches to large and complex organization systems. For many years, such interdisciplinary approaches were used in analyzing big data gathered from not only business sectors, but also public, non-profit, and government sectors.

The main goal of the session is to attract researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies in the area of Data Science. The focus in Data Science may be set to various aspects, such as: data warehousing, reporting, online analytical processing, data analytics, data mining, process mining, text mining, predictive analytics and prescriptive analytics, as well as various aspects of machine learning, big data and time series analysis. We express an interest in gathering scientists and practitioners interested in applying Data Science approaches in public and government sectors, such as healthcare, education, or security services, as well as in industry sectors and Industry 4.0 approaches. Experts from all other sectors are also welcomed.

Submissions are expected from, but not limited to the following topics:

* Artificial Intelligence, Machine Learning, Deep Learning – Theoretical and practical aspects
* Data quality assessment and improvement: preprocessing, cleaning, and missing data
* Data Science and Analytics for Healthcare and other Public Sectors
* Educational Data Science
* Impacts of Business Analytics for the performance of profit or non-profit organizations
* Implications of Blockchain for Data Science
* Information Visualization and Visual Analytics
* Process Mining, Pattern Mining, and Swarm Intelligence
* Semi-structured or unstructured data in Business Intelligence systems
* Social network Data Analysis
* Statistical analysis and characterization, predictive analytics and prescriptive analytics
* Teaching new approaches of Data Science in academic and industrial environments
* Theoretical and practical aspects, Applications and Industry Experience in Data Science
* Web survey methods in Business Intelligence and Data Science

PAPER SUBMISSION

* Papers will be refereed and accepted on the basis of their scientific merit and relevance to the conference.
* The required full paper length is 8 to 10 pages. Call for papers and detailed information for the authors can be found at http://kes2023.kesinternational.org/submission.php.
* Papers to be considered for the conference must be submitted through the PROSE online submission and review system available at http://kes2023.kesinternational.org/prose.php.


IMPORTANT DATES

* Paper submission: 10 April,2023
* Acceptance notification: 15 May, 2023
* Final paper submission: 29 May, 2023
* Conference: 6 - 8 September, 2023


SESSION CHAIRS

* Ivan Luković, University of Belgrade, Serbia
* Ralf-Christian Härting, University of Aalen, Germany


Credits and Sources

[1] IADSP 2023 : Invited Session on Interdisciplinary Approaches in Data Science Practice


Check other Conferences, Workshops, Seminars, and Events


OTHER DATA SCIENCE EVENTS

BCD 2024-Summer 2024: 9th ACIS International Summer Conference on Big Data, Cloud Computing, and Data Science
Kitakyushu, Fukuoka, Japan
Jul 16, 2024
WCONF 2024: IEEE 2nd World Conference on Communication and Computing
Raipur, India
Jul 12, 2024
FMLDS 2024: International Conference on Future Machine Learning and Data Science
Sydney
Nov 20, 2024
ICDSA 2024: 5th International Conference on Data Science and Applications
MNIT Jaipur, India
Jul 17, 2024
DAMDID 2024: 26th International Conference on Data Analytics and Management in Data Intensive Domains
Nizhny Novgorod, Russia
Oct 22, 2024
SHOW ALL

OTHER COMPUTER SCIENCE EVENTS

CYBI 2024: 11thInternational Conference on Cybernetics & Informatics
Melbourne, Australia
Apr 20, 2024
ITCC 2024: ACM--2024 6th International Conference on Information Technology and Computer Communications (ITCC 2024)
Singapore
Oct 25, 2024
Informed ML for Complex Data@ESANN 2024: Informed Machine Learning for Complex Data special session at ESANN 2024
Bruges, Belgium
Oct 9, 2024
Web3D 2024 2024: 3D Technologies for the World Wide Web
GuimarĂ£es, Portugal
Sep 25, 2024
HUMAD 2024: [Scopus] [ACM] International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation
Cagliari, Italy; also online
Jul 1, 2024
SHOW ALL

OTHER BUSINESS INTELLIGENCE EVENTS

ICSBT (NEW DEADLINE) 2024: The International Conference on Smart Business Technologies
Dijon, France
Jul 9, 2024
KES - IADSP 2024: KES 2024 -- Invited Session on Interdisciplinary Approaches in Data Science Practice
Seville
Sep 11, 2024
MAIDSS 2024: International Conference on Modern Artificial Intelligence and Data Science Systems
Rabat, Morocco
Feb 13, 2024
IEEE CBI 2024: 26th IEEE International Conference on Business Informatics
Vienna, Austria
Sep 9, 2024
miproBIS 2024: Business Intelligence Systems and Big Data Processing
Opatija, Croatia
May 20, 2024
SHOW ALL