Welcome to the 19th Int. Conference on Data Science (ICDATA’23)

Non-Attendance Policy/Presentation Modes due to Coronavirus/COVID-19 – please see info here.

We invite you to attend ICDATA’23 and to submit papers. ICDATA’23 offers a 4 day single-track conference, keynote speeches by world renowned scientists, special sessions and free tutorials on all aspects of data science. In the past, the data science conference has attracted a lot of presentations in formal sessions plus keynotes, and excellent tutorials, with a lot of attendees plus many more visitors from other conferences of the congress.
For further information on the 2023 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE’23) and its
conferences, please use the following link: CSCE’23

ICDATA’23 is part of CSCE’2023. ICDATA’23 is an international conference for academics and practitioners held simultaneously with other joint conferences as part of CSCE’23, the 2023 World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE’23 is among the top five largest annual gathering of researchers in computer science, computer engineering, data science, artificial intelligence, STEM, and applied computing. We anticipate to have attendees from about 75 countries and territories. Participants range from established researchers on Professorial level, starting researchers (post-doc, PhD, Masters and Bachelor level) and contract researchers unto practitioners applying all aspects of data science in private or public companies or research institutions. Each of the joint conferences in CSCE is a premier conference for presentation of advances in their respective fields. We anticipate having between 1,000 and 2,000 participants in the congress. The congress includes 21 major tracks composed of: 122 technical, research, and panel sessions as well as a number of keynote lectures and tutorials; all will be held simultaneously, same location and dates: July 24-27, 2023. This year’s Congress will be a hybrid event that combines a “live” in-person event with a “virtual” online component. We anticipate that most speakers will physically be attending (ie, most talks are expected to be face-to-face).

ICDATA attendees have full access to all sessions and tutorials of all other conferences‘ sessions, tracks, and planned tutorials (complete list of the 21 joint conferences) as well as to the ICDATA social programme. CSCE is one of the largest annual conferences and promises many opportunities to present your work to an large, interdisciplinary audience and to extend our professional network. Each conference will have its own proceedings which will be indexed.

Last year, the Congress had attracted speakers/authors and participants affiliated with over 158 different universities (including many from the top 50 ranked institutions), major IT corporations (including: Microsoft, Google, Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE, Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber Technologies, …), major corporations (including: Exxon Mobil, Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC, Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, …), government research agencies (NSF, NIH, DoE, US Air Force, NSA National Security Agency, Central Intelligence Agency, …), US national laboratories (including, NASA National Aeronautics and Space Administration, ANL Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab, Lawrence Berkeley National Lab, Lawrence Livermore National Lab, Los Alamos National Lab, Pacific Northwest National Lab, …), and a number of Venture Capitalists as well as distinguished speakers discussing Intellectual Property issues. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations.

An important mission of the Congress is to provide a unique platform for a diverse community of constituents composed of scholars, researchers, developers, educators, and practitioners. The Congress makes concerted effort to reach out to participants affiliated with diverse entities (such as: universities, institutions, corporations, government agencies, and research centers/labs) from all over the world. The congress also attempts to connect participants from institutions that have teaching as their main mission with those who are affiliated with institutions that have research as their main mission. The congress uses a quota system to achieve its institution and geography diversity objectives.

ICDATA attracts quality papers & presentations. The data science conference has been highly ranked in the past. Please to not confuse ICDATA (formerly DMIN) with other „multi-conferences“ with approximately 100% acceptance rates. The conference maintains its own program committee and manages its own thorough and objective review process of at least 2 independent reviewers (leading academics & practitioners). Over the past years, ICDATA has an average acceptance rate of approximately 50%. While this rate is not as low as for some top-tier conferences, it is respectable and still allows researchers from less developed countries to actively participate in the conference.

Publication & Indexing. All accepted papers will be published by IEEE CPS in the proceedings of Congress (CSCE). Extended versions of selected papers of the conference will also appear in journals and edited research books (Springer, Elsevier, BMC, …) The published proceedings can be accessed via web portals, CPS, other Digital libraries.

In addition, like prior years, extended versions of selected papers will appear in journals and edited research books; publishers include, Springer, Elsevier, BMC Genomics, BMC Bioinformatics, IEEE Access, and others. Each book in each series will be subject to publishers‘ science indexing products (which includes: Scopus, www.info.scopus.com; SCI Compendex, EI Compendex, www.ei.org; EMBASE, www.info.embase.com; Conference Proceedings Citation Index, Web of Science; Inspec; ACM digital library; Google Scholar; EBSCO; ProQuest; and others). See the web link below for a small subset of such publications: (some of these books and journal special issues have already received the top 25% downloads in their respective fields and/or identified as „Highly Accessed“ by publishers and/or science citation index trackers.)

Past conference proceedings can be accessed via IEEE Xplore Digital Library at:
Volume I (2014)
Volume II (2014)
Volume (2015)
Volume (2016)
Volume (2017)
Volume (2018)
Volume (2019)
Volume (2020)
Volume (2021)
All CSCI Proceedings

The published papers can also be viewed via IEEE Xplore, Scopus, Ei Compendex, and other science indexation systems.

Some special issues based on the conference can be found here: https://american-cse.org/csce2023/special_issues.

Feeling about the conference. To get a feeling about the conferences‘ atmosphere, see some delegates photos available at (over 2,000 photos):

Photo Gallery

Topics of interest include (but are not limited to) all aspects of Data Science, Data Mining, Machine Learning, Data Science, Artificial and Computational Intelligence, Big Data, … including: (see topics for details)

  • Methods & Algorithms
  • Tasks & Processes
  • ApplicationsTools & Software
  • Data Warehousing
  • Big Data

We welcome contributions through research papers and industrial reports/case studies on applications in form of full/regular research papers of up to 10 pages, double-column IEEE style, which will be presented in plenary presentations and poster sessions. In addition, we welcome short research papers & industry reports of up to 6 pages as well as extended abstracts & poster papers of up to 3 pages which will be presented in informal poster sessions.

Please have a look at the Call for Papers for more information (and please have a look at the current deadlines below).

Location: Luxor (MGM), Las Vegas, Nevada, USA.

Non-Attendance Policy/Presentation Modes due to Coronavirus/COVID-19 – please see info here.



  • April 12, 2023: Submission of papers
  • May 6, 2023: Submission of papers (see categories above or here)
    • Full/Regular Research Papers (max of 8 pages)
    • Short Research Papers (max of 5 pages)
    • Abstract/Poster Papers (max of 3 pages)
  • June 10, 2023: Submission of Papers SRP / EAP
  • May 1, 2023: Notification of acceptance (+/- two days)
  • Notification for papers submitted after April 12: Revolving date
    Notification of acceptance/rejection will be emailed about 2 weeks after the submission date
  • May 16, 2023: Final papers + Registration
  • Final papers and registration (drafts sent after May 6: Revolving date:
    Due Date for uploading the final manuscripts to the IEEE CPS publication portal and due date for registration will appear in the notification that will be sent to the authors of accepted papers.
    Online Registration System: https://american-cse.org/csce2023/registration
  • June 21, 2023: Hotel Reservation & Information:
    Online: https://american-cse.org/csce2023/venue
  • June 26, 2023: Please email your presentation option to the congress.

    This year’s Congress will be a hybrid event that combines a „live“ in-person event with a „virtual“ online component. We anticipate that most speakers will physically be attending (ie, most talks are expected to be face-to-face).

We look forward to seeing you at ICDATA’23/CSCE’23.


ICDATA, the International Conference on Data Science, is the renamed former International Conference on Data Mining, DMIN, which was held for thirteen years until 2017. In 2018, we renamed the 14th conference on this topic into ICDATA. The new name (and acronym) is more attractive and reflects a more modern perspective – although the content itself has not changed dramatically in the sense, that we still aim at organizing an interesting and modern conference related to all aspects of data science, e.g., data mining, machine learning, big data. We are the same organization team as in the past for DMIN, and we have the same processes (review feedback etc.).
The Big Data Conference, ABDA, is merged with ICDATA.