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KDIR 2021 : 13th International Conference on Knowledge Discovery and Information RetrievalConference Series : International Conference on Knowledge Discovery and Information Retrieval | |||||||||||||||
Link: http://www.kdir.ic3k.org | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS
13th International Conference on Knowledge Discovery and Information Retrieval KDIR website: http://www.kdir.ic3k.org October 25 - 27, 2021 Online Streaming In Cooperation with: ACM SIGAI, AAAI, APRP, AI*IA and GI - SIG KM. Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Web of Science / Conference Proceedings Citation Index. IMPORTANT DATES: Regular Paper Submission: May 18, 2021 Authors Notification (regular papers): July 16, 2021 Final Regular Paper Submission and Registration: July 30, 2021 Position Paper Submission: June 25, 2021 Authors Notification (position papers): July 30, 2021 Final Regular Paper Submission and Registration: September 7, 2021 Scope: Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets. Conference Topics: Area 1: KDIR - International Conference on Knowledge Discovery and Information Retrieval - Machine Learning - Deep Learning - Neural Networks - Information Extraction - Context Discovery - Business Intelligence Applications - Statistical Methods - Data Analytics - Data Reduction and Quality Assessment - Mining Multimedia Data - Mining Text and Semi-Structured Data - Pre-Processing and Post-Processing for Data Mining - Web Mining - Data Mining in Electronic Commerce - Visual Data Mining and Data Visualization - Knowledge Discovery in Databases - Pattern Recognition - Feature Selection - Clustering and Classification Methods - User Profiling and Recommender Systems - BioInformatics & Pattern Discovery - Collaborative Filtering - Software Frameworks and Applications - Natural Language Understanding - Explainable AI KDIR KEYNOTE LECTURE Eric Yu, University of Toronto, Canada KDIR CONFERENCE CHAIR: Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal KDIR PROGRAM CHAIR: Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal PROGRAM COMMITTEE http://www.kdir.ic3k.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: http://www.kdir.ic3k.org e-mail: kdir.secretariat@insticc.org |
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