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KDIR 2023 : 15th International Conference on Knowledge Discovery and Information Retrieval

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Conference Series : International Conference on Knowledge Discovery and Information Retrieval
 
Link: https://kdir.scitevents.org
 
When Nov 13, 2023 - Nov 15, 2023
Where Lisbon, Portugal
Submission Deadline Jul 17, 2023
Notification Due Jul 31, 2023
Final Version Due Sep 8, 2023
Categories    information retrieval   pattern recognition   knowledge discovery   computer science
 

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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