KDIR: International Conference on Knowledge Discovery and Information Retrieval

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

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

 
 

All CFPs on WikiCFP

Event When Where Deadline
KDIR 2018 10th International Conference on Knowledge Discovery and Information Retrieval
Sep 18, 2018 - Sep 20, 2018 Seville, Spain May 2, 2018
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 2013 INSTICC International Conference on Knowledge Discovery and Information Retrieval
Sep 19, 2013 - Sep 22, 2013 Vilamoura, Algarve, Portugal May 16, 2013
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 : 2018

CALL FOR PAPERS
10th International Conference on Knowledge Discovery and Information Retrieval KDIR

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

September 18 - 20, 2018 Seville, Spain



IMPORTANT DATES:

Regular Paper Submission: May 2, 2018
Authors Notification (regular papers): July 3, 2018
Final Regular Paper Submission and Registration: July 17, 2018

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
- BioInformatics & Pattern Discovery
- Foundations of Knowledge Discovery in Databases
- Information Extraction
- Interactive and Online Data Mining
- Machine Learning
- Mining Multimedia Data
- Mining Text and Semi-structured Data
- Pre-processing and Post-processing for Data Mining
- Process Mining
- Software Development
- Structured Data Analysis and Statistical Methods
- Business Intelligence Applications
- User Profiling and Recommender Systems
- Visual Data Mining and Data Visualization
- Web Mining
- Clustering and Classification Methods
- Collaborative Filtering
- Concept Mining
- Context Discovery
- Data Analytics
- Data Mining in Electronic Commerce
- Data Reduction and Quality Assessment


KDIR CONFERENCE CHAIR:
Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal

KDIR PROGRAM CHAIR:
Ana Fred, Instituto de Telecomunicações / IST, Portugal

PROGRAM COMMITTEE
http://www.kdir.ic3k.org//ProgramCommittee.aspx

KDIR Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
Tel: +351 265 520 184
Fax: +351 265 520 186
Web: http://www.kdir.ic3k.org/
e-mail: kdir.secretariat@insticc.org
 

Related Resources

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KDD 2019   25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING
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RecSys 2019   13th ACM Conference on Recommender Systems
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
ICKEA--Ei Compendex and Scopus 2019   2019 The 4th International Conference on Knowledge Engineering and Applications (ICKEA 2019)--Ei Compendex and Scopus
ACM--ICIAI--Ei Compendex and Scopus 2019   ACM--2019 The 3rd International Conference on Innovation in Artificial Intelligence (ICIAI 2019)--Ei Compendex and Scopus
ICIKM--EI, Scopus 2019   2019 8th International Conference on Innovation, Knowledge, and Management (ICIKM 2019)--EI Compendex, Scopus
IMMS--Ei and Scopus 2019   2019 2nd International Conference on Information Management and Management Sciences (IMMS 2019)--Ei Compendex, Scopus