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KDIR is part of IC3K, the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
Registration to KDIR allows free access to all other IC3K conferences.


IC3K 2020 will be held in conjunction with WEBIST 2020, PECCS 2020 and IJCCI 2020.

Registration to IC3K allows free access to the WEBIST, PECCS and IJCCI conferences (as a non-speaker).

 

Upcoming Submission Deadlines

Regular Paper Submission: May 19, 2020
Doctoral Consortium Paper Submission: September 8, 2020
Open Communications Paper Submission: September 8, 2020

(See Important Dates for more information)
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 Chair

Joaquim FilipePolytechnic Institute of Setúbal / INSTICC, Portugal

PROGRAM CHAIR

Ana FredInstituto de Telecomunicações and University of Lisbon, Portugal

Keynote Speakers

Alexander SmirnovSPIIRAS, Russian Federation
Manfred ReichertUlm University, Germany
Frank van HarmelenThe Hybrid Intelligence Center & Vrije Universiteit Amsterdam, Netherlands
Stefan DeckerRWTH Aachen University, Germany
 
 SCITEPRESS Digital Library
All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)
CCIS Series
It is planned to publish a short list of revised and
extended versions of presented papers with Springer
in a CCIS Series book
ACM In Cooperation
In Cooperation with:
Proceedings will be submitted for indexation by:


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