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KDIR 2021 : 13th International Conference on Knowledge Discovery and Information Retrieval

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Conference Series : International Conference on Knowledge Discovery and Information Retrieval
 
Link: http://www.kdir.ic3k.org
 
When Oct 25, 2021 - Oct 27, 2021
Where Valletta, Malta
Submission Deadline Jun 25, 2021
Notification Due Jul 16, 2021
Final Version Due Jul 30, 2021
Categories    information retrieval   pattern recognition   knowledge discovery   computer science
 

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 TelecomunicaƧƵes 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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