KDIR 2013 : INSTICC International Conference on Knowledge Discovery and Information Retrieval
Conference Series : International Conference on Knowledge Discovery and Information Retrieval
Call For Papers
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.
Foundations of knowledge discovery in databases
Data mining in electronic commerce
Interactive and online data mining
Integration of data warehousing and data mining
Data reduction and quality assessment
Mining high-dimensional data
Mining text and semi-structured data
Mining multimedia data
Structured data analysis and statistical methods
BioInformatics & pattern discovery
Clustering and classification methods
Pre-processing and post-processing for data mining
Visual data mining and data visualization
Business intelligence applications
Information Extraction from Emails
User Profiling and Recommender Systems
IC3K Keynote Speakers
Alan Eardley, Staffordshire University, United Kingdom
David Aveiro, University of Madeira, Portugal
Belur V. Dasarathy, Information Fusion, United States
Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.
Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.
Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.
All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is member of CrossRef (http://www.crossref.org/).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library.
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer-Verlag in a CCIS Series book .
A special issue of the Elsevier Journal of Information Fusion on "Information Fusion in Multi-dimensional Knowledge Discovery and Computational Intelligence" has been planned. For more details, please download the CFP for the special issue here.
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
Conference Date: 19 - 22 September, 2013
Paper Submission: March 25, 2013 (expired)
Authors Notification: May 13, 2013
Camera Ready and Registration: June 4, 2013
Paper Submission: May 16, 2013
Authors Notification: June 24, 2013
Camera Ready and Registration: July 5, 2013
Paper Submission: June 24, 2013
Authors Notification: July 11, 2013
Camera Ready and Registration: July 22, 2013
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IC3K Conference Chair
Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
Ana Fred, Technical University of Lisbon / IT, Portugal