KDIR: International Conference on Knowledge Discovery and Information Retrieval

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

Permanent:   Official Site http://www.kdir.ic3k.org

 
 

All CFPs on WikiCFP

Event When Where Deadline
KDIR 2020 12th International Conference on Knowledge Discovery and Information Retrieval
Nov 2, 2020 - Nov 4, 2020 Online Streaming Jul 24, 2020
KDIR 2015 International Conference on Knowledge Discovery and Information Retrieval
Nov 12, 2015 - Nov 14, 2015 Lisbon, Portugal Jun 2, 2015
KDIR 2014 KDIR 6th International Conference on Knowledge Discovery and Information Retrieval
Oct 21, 2014 - Oct 24, 2014 Rome, Italy Jun 23, 2014
KDIR 2012 International Conference on Knowledge Discovery and Information Retrieval
Oct 4, 2012 - Oct 7, 2012 Barcelona, Spain Apr 17, 2012
KDIR 2011 KDIR- International Conference on Knowledge Discovery and Information Retrieval
Oct 26, 2011 - Oct 29, 2011 Paris, France May 10, 2011
KDIR 2010 International Conference on Knowledge Discovery and Information Retrieval
Oct 25, 2010 - Oct 28, 2010 Valencia, Spain May 20, 2010
KDIR 2009 International Conference on Knowledge Discovery and Information Retrieval
Oct 6, 2009 - Oct 8, 2009 Madeira, Portugal May 12, 2009
 
 

Present CFP : 2020

CALL FOR PAPERS
12th International Conference on Knowledge Discovery and Information Retrieval KDIR

website: http://www.kdir.ic3k.org

November 2 - 4, 2020 [Online Streaming]


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 17, 2020
Final Regular Paper Submission and Registration: July 31, 2020


Position Paper Submission: July 24, 2020
Authors Notification (position papers): September 2, 2020
Final Regular Paper Submission and Registration: September 16, 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. This has proven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet and the widespread use of large databases have created an important need for knowledge discovery methodologies. The challenge of extracting knowledge from data draws upon research in a large number of disciplines including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions. 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. The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.

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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