| 12th International Conference on Knowledge Discovery and Information Retrieval - KDIR 2020 [Online Streaming] | |
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Virtual Event |
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| Hosted by: | INSTICC |
| Venue: | Online Streaming |
| Dates: | Nov 02, 2020 through Nov 04, 2020 |
| Call for Proceedings Presentations: | 2020-01-01 through 2020-06-22 |
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Description |
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| 12th International Conference on Knowledge Discovery and Information Retrieval KDIR website: http://www.kdir.ic3k.org November 2 - 4, 2020 Budapest, Hungary In Cooperation with: ACM SIGAI, APPIA, APRP and AI*IA. Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, DBLP, Semantic Scholar, Microsoft Academic, EI and Conference Proceedings Citation Index. IMPORTANT DATES: Regular Paper Submission: May 19, 2020 Authors Notification (regular papers): July 27, 2020 Final Regular Paper Submission and Registration: September 14, 2020 Position Paper Submission: July 21, 2020 Authors Notification (position papers): September 14, 2020 Final Regular Paper Submission and Registration: September 28, 2020 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 - Interactive and Online Data Mining - Mining Multimedia Data - Mining Text and Semi-Structured Data - Pre-Processing and Post-Processing for Data Mining - Concept Mining - Process Mining - Web Mining - Data Mining in Electronic Commerce - Visual Data Mining and Data Visualization - Knowledge Discovery in Databases - Pattern Recogntion - Feature Selection - Clustering and Classification Methods - User Profiling and Recommender Systems - BioInformatics & Pattern Discovery - Collaborative Filtering - Software Frameworks KDIR KEYNOTE LECTURE Alexander Smirnov, SPIIRAS, Russian Federation Manfred Reichert, Ulm University, Germany Frank van Harmelen, The Hybrid Intelligence Center & Vrije Universiteit Amsterdam, Netherlands Stefan Decker, RWTH Aachen University, Germany KDIR CONFERENCE CHAIR: Joaquim Filipe, Polytechnic Institute of Setúbal / 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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| Additional Information | |
| Event URL: | http://www.kdir.ic3k.org |
| ISCB Member Discount: | None |
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