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Call for Papers

KDIR is sponsored by INSTICC – Institute for Systems and Technologies of Information, Control and Communication

SCOPE

Knowledge Discovery (KD) is an interdisciplinary domain focusing upon methodologies for identifying valid, hidden, novel, potentially actionable and meaningful information, from within data of all kinds. Knowledge discovery encompasses an end-to-end process involving: data preparation, the application of learning techniques and the presentation of the acquired knowledge in a manner that is both meaningful and (importantly) explainable. The learning techniques used range from statistically-based data mining, through sophisticated machine learning models to deep learning. Current trends in the field of KD include Explainable AI, Hybrid-learning, and the application of knowledge discovery to ever increasingly diverse data sets. Information Retrieval (IR), in turn, is concerned with the gathering of relevant information, from unstructured and semantically fuzzy data in texts and other media, typically in response to a user query. This encompasses searching for information within data sources (such as documents and images) and for metadata about those data sources, as well as searching within databases of all kinds and the Web. Automation of IR enables the reduction of information overload. The tools and techniques of KD are increasingly used to enhance and automate IR processes. Current trends in IR include learning to rank models, data representation using embedding techniques, and the use of knowledge graph technology. The scope of the KDIR conference covers all aspect KD and IR, and the overlap between the two.


CONFERENCE TOPICS


  • Information Extraction
  • Context Discovery
  • Knowledge Discovery in Databases
  • Applications of Knowledge Discovery and Information Retrieval
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Statistical Methods
  • Data Analytics
  • Large Language Models (LLMs)
  • Generative AI
  • Mining Text and Semi-Structured Data
  • Pre-Processing and Post-Processing for Data Mining
  • Data Processing and Exploratory Data Analysis
  • Data Visualization
  • Pattern Recognition
  • Feature Selection
  • Clustering and Classification Methods
  • Natural Language Processing
  • Interpretable and Explainable AI
  • Knowledge Graphs and Ontologies

KEYNOTE SPEAKERS

KDIR 2026 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. Authors should also avoid using an excessive number of self-citations and an excessive number of co-authors.

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.

PUBLICATIONS

All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier).
The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.

IMPORTANT DATES

Conference Date: 28 - 30 October, 2026

Paper Submission: May 19, 2026
Authors Notification:
July 17, 2026
Camera Ready and Registration:
July 31, 2026

Paper Submission: June 26, 2026
Authors Notification:
July 31, 2026
Camera Ready and Registration:
September 8, 2026

Workshops
Workshop Proposal: May 27, 2026

Special Sessions
Special Session Proposal: May 27, 2026

Tutorials
Tutorial Proposal: September 14, 2026

Demos
Demo Proposal: September 14, 2026

Panels
Panel Proposal: September 14, 2026

SECRETARIAT

KDIR Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: kdir.secretariat@insticc.org
Web: https://kdir.scitevents.org

VENUE

Available soon.

CONFERENCE CHAIR

Available soon.

PROGRAM CO-CHAIRS

Frans CoenenUniversity of Liverpool, United Kingdom
Lars NolleJade University of Applied Sciences, Germany

PROGRAM COMMITTEE MEMBERS

Mayer Aladjem, Ben-Gurion University of the Negev, Israel
Nuno Almeida, University of Aveiro, Portugal
Eva Armengol, IIIA CSIC, Spain
Claudio Biancalana, Roma Tre University, Italy
Isabelle Bichindaritz, State University of New York at Oswego, United States
Alina Campan, Northern Kentucky University, United States
Jesús Ariel Carrasco-Ochoa, INAOE, Mexico
Sharma Chakravarthy, University of Texas at Arlington, United States
Beatriz De La Iglesia, University of East Anglia, United Kingdom
Mihaela Dinsoreanu, Technical University of Cluj-Napoca, Romania
Lachit Dutta, Faculty of Technology, Gauhati University, India
Bilel Elayeb, Yncréa Ouest, L@bISEN, ISEN de Nantes, France
Susan Gauch, University of Arkansas, United States
Jane Greenberg, Drexel University, United States
Sergio Ilarri, University of Zaragoza, Spain
Bogdan Ionescu, National University of Science and Technology POLITEHNICA Bucharest, Romania
Yogan Jaya Kumar, Universiti Teknikal Malaysia Melaka, Malaysia
Constantine Kotropoulos, Aristotle Univ. of Thessaloniki, Greece
Carson K. Leung, University of Manitoba, Canada
Christos Makris, University of Patras, Greece
J. Fco. Martínez-Trinidad, Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Brigitte Mathiak, GESIS - Leibniz Institute for the Social Sciences, Germany
Dulani Meedeniya, University of Moratuwa, Sri Lanka
Parma Nand, Department of Data Science and AI, Auckland University of Technology, New Zealand
Anne Hee Hiong Ngu, Texas State University-San Marcos, United States
Dorina Rajanen, University of Oulu, Finland
Rui Santos, Polytechnic Institute of Leiria, CEAUL - Center of Statistics and Applications, Portugal
Alessia Sarica, Magna Graecia University of Catanzaro, Italy
Claudio Sartori, Universita' di Bologna, Italy
Milos Savic, University of Novi Sad, Serbia
Asadollah Shahbahrami, University of Guilan, Iran
Ahmed Shehata, Sultan Qaboos University, Oman
Julian Szymanski, Gdansk University of Technology, Poland
Silvio Ricardo Timaran Pereira, Universidad De Nariño, Colombia
Domenico Ursino, Università Politecnica delle Marche, Italy
Manuel Vilares Ferro, University of Vigo, Spain
Jie Wang, University of Massachusetts Lowell, United States
Nicola Zeni, University of Trento, Italy

(list not yet complete)

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