Home      Log In      Contacts      FAQs      INSTICC Portal

Call for Papers

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


Knowledge Discovery (KD) is an interdisciplinary domain focusing upon methodologies for identifying valid, hidden, novel, potentially useful 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.  The learning techniques used range from statistically-based data mining technique, to sophisticated machine learning through to deep learning techniques facilitated but recent increases in computer processing power. Current trends in the field of KD include Explainable AI, Hybrid-learning, and the application of knowledge discover 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 documents and for metadata about documents, as well as searching relational databases and the Web. Automation of IR enables the reduction of what has been called "information overload". The tools and techniques of KD are increasingly used to enhance and automate information retrieval 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.


  • 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
  • Data Representation Learning
  • Quality Metrics and Assessment
  • 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
  • User Profiling and Recommender Systems
  • BioInformatics & Pattern Discovery
  • Software Frameworks and Applications
  • Natural Language Processing
  • Interpretable and Explainable AI


IC3K 2023 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.


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.

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.


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 ( 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.


Conference Date: 13 - 15 November, 2023

Paper Submission: June 2, 2023
Authors Notification:
July 31, 2023
Camera Ready and Registration:
September 8, 2023

Paper Submission: July 24, 2023
Authors Notification:
September 15, 2023
Camera Ready and Registration:
September 28, 2023

Workshop Proposal: June 26, 2023

Doctoral Consortium
Paper Submission: September 21, 2023
Authors Notification: October 4, 2023
Camera Ready and Registration: October 12, 2023

Special Sessions
Special Session Proposal: June 26, 2023

Tutorial Proposal: October 4, 2023

Demo Proposal: October 4, 2023

Panel Proposal: October 4, 2023


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


Available soon.


Jorge BernardinoPolytechnic of Coimbra - ISEC, Portugal


Ana FredInstituto de Telecomunicações and University of Lisbon, Portugal
Frans CoenenUniversity of Liverpool, United Kingdom


Amir Ahmad, United Arab Emirates University, United Arab Emirates
Mayer Aladjem, Ben-Gurion University of the Negev, Israel
Eva Armengol, IIIA CSIC, Spain
Chandrajit Bajaj, The Machine Learning Research Group, United States
Rafael Berlanga, Universitat Jaume I, Spain
Marko Bohanec, Jožef Stefan Institute, Slovenia
Amel Borgi, Université de Tunis El Manar, Institut Supérieur d’Informatique, LIPAH, Tunisia
Nizar Bouguila, Concordia University, Canada
Jesús A. Carrasco-Ochoa, INAOE, Mexico
Zhiyuan Chen, University of Maryland Baltimore County, United States
Chih-ming Chen, National Chengchi University, Taiwan, Republic of China
Patrick M. Ciarelli, Universidade Federal do Espírito Santo, Brazil
Thanh-Nghi Do, College of Information Technology, Can Tho University, Vietnam
Antoine Doucet, University of La Rochelle, France
Markus Endres, University of Applied Sciences Munich, Germany
Iaakov Exman, The Jerusalem College of Engineering - JCE - Azrieli, Israel
Pedro G. Ferreira, Faculty of Sciences, University of Porto, Portugal
Susan Gauch, University of Arkansas, United States
Udo Hahn, , Germany
Gerhard Heyer, , Germany
Victoria Hodge, Department of Computer Science, University of York, United Kingdom
Vasant Honavar, Pennsylvania State University, United States
Beatriz de la Iglesia, University of East Anglia, United Kingdom
Arti Jain, Jaypee Institute of Information Technology, India
Mouna Kamel, CNRS, France
Mehmed Kantardzic, University of Louisville, United States
Ron Kenett, KPA and the Samuel Neaman Institute, Technion, Israel
Ikuo Keshi, Fukui University of Technology, Japan
Margita Kon-Popovska, Ss Cyril and Methodius University, North Macedonia
Martin Krallinger, Barcelona Supercomputing Center National Center Supercomputing, Spain
Carson K. Leung, University of Manitoba, Canada
Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Norway
Rafael D. Lins, Universidade Federal de Pernambuco, Brazil
Edwin Lughofer, Johannes Kepler University, Austria
Christos Makris, University of Patras, Greece
Giuseppe Manco, ICAR-CNR, Italy
Fabrizio Marozzo, University of Calabria, Italy
J. F. Martínez-Trinidad, Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico
Dulani Meedeniya, University of Moratuwa, Sri Lanka
Manuel Montes y Gómez, INAOE, Mexico
Agnieszka Mykowiecka, Institute of Computer Science Polish Academy of Sciences, Poland
Elias Oliveira, Universidade Federal do Espirito Santo, Brazil
Jan Paralic, Technická univerzita v Košiciach, Slovak Republic
James Pustejovsky, Brandeis University, United States
Marcos G. Quiles, Federal University of Sao Paulo - UNIFESP, Brazil
Georg Rehm, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), Germany
Claudio Sartori, Universita' di Bologna, Italy
Milos Savic, University of Novi Sad, Serbia
Filippo Sciarrone, Universitas Mercatorum, Italy
Wei Song, North China University of Technology, China
Wenlong sun, Independent Researcher, United States
Atsuhiro Takasu, National Institute of Informatics, Japan
Marco Temperini, Sapienza University of Rome, Italy
Kar A. Toh, Yonsei University, Korea, Republic of
Alicia Troncoso Lora, Pablo de Olavide University of Seville, Spain
Domenico Ursino, Università Politecnica delle Marche, Italy
Marco Viviani, Università di Milano-Bicocca, Italy
Jie Wang, University of Massachusetts, United States
Xing Wei, Pinterest Inc., United States
Nicola Zeni, University of Trento, Italy
Yi Zhang, University of Technology Sydney, Australia
Yan Zhang, California State University, San Bernardino, United States