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KDIR 2023 : 15th International Conference on Knowledge Discovery and Information RetrievalConference Series : International Conference on Knowledge Discovery and Information Retrieval | |||||||||||||||
Link: https://kdir.scitevents.org | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS
15th International Conference on Knowledge Discovery and Information Retrieval KDIR website: https://kdir.scitevents.org November 13 - 15, 2023 Rome, Italy IMPORTANT DATES: Regular/Position Paper Submission: July 17, 2023 Authors Notification (regular papers): July 31, 2023 Final Regular Paper Submission and Registration: September 8, 2023 Position Paper Submission: July 17, 2023 Authors Notification (position papers): September 15, 2023 Final Regular Paper Submission and Registration: September 28, 2023 Scope: 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. Conference Topics: Area 1: KDIR - International Conference on Knowledge Discovery and Information Retrieval - 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 KDIR KEYNOTE LECTURE Anthony Bagnall, University of East Anglia, United Kingdom Domenico Lembo, Sapienza Università di Roma, Italy Luís Paulo Reis, University of Porto, Portugal KDIR CONFERENCE CHAIR: Jorge Bernardino, Polytechnic of Coimbra - ISEC, Portugal KDIR PROGRAM CO-CHAIRS: Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal Frans Coenen, University of Liverpool, United Kingdom PROGRAM COMMITTEE https://kdir.scitevents.org/ProgramCommittee.aspx KDIR Secretariat Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C Tel: +351 265 520 185 Fax: +351 265 520 186 Web: https://kdir.scitevents.org e-mail: kdir.secretariat@insticc.org |
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