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

Information extraction
Machine Learning
Concept Mining
Context Discovery
Foundations of knowledge discovery in databases
Data analytics
Optimization
Interactive and online data mining
Process mining
Integration of data warehousing and data mining
Data reduction and quality assessment
Pre-processing and post-processing for data mining
Mining high-dimensional data
Mining text and semi-structured data
Information Extraction from Emails
Mining multimedia data
Web mining
User Profiling and Recommender Systems
Collaborative Filtering
Structured data analysis and statistical methods
BioInformatics & pattern discovery
Clustering and classification methods
Visual data mining and data visualization
Software development
Business intelligence applications
Data mining in electronic commerce

IC3K Keynote Speaker
Daniel O'Leary, University of Southern California, United States
Paper Submission

Authors should submit an original paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The initial submission must have between 3 to 13 pages otherwise it will be rejected without review. Please check the paper formats page so you may be aware of the accepted paper page limits.
The guidelines for paper formatting provided at the conference web ought to be used for all submitted papers. The preferred submission format is the same as the camera-ready format. Please check and carefully follow the instructions and templates provided. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable.

Papers that are out of the conference scope or contain any form of plagiarism will be rejected without reviews. Please read INSTICC's ethical norms regarding plagiarism and self-plagiarism.

Remarks about the on-line submission procedure:
1. A "double-blind" paper evaluation method will be used. To facilitate that, the authors are kindly requested to produce and provide the paper, WITHOUT any reference to any of the authors. This means that is necessary to remove the authors personal details, the acknowledgements section and any reference that may disclose the authors identity.
LaTeX/PS/PDF/DOC/DOCX/RTF format are accepted.
2. The web submission procedure automatically sends an acknowledgement, by e-mail, to the contact author.

Paper submission types:
Regular Paper Submission
A regular paper presents a work where the research is completed or almost finished. It does not necessary means that the acceptance is as a full paper. It may be accepted as a "full paper" (30 min. oral presentation) , a "short paper" (20 min. oral presentation) or a "poster".

Position Paper Submission
A position paper presents an arguable opinion about an issue. The goal of a position paper is to convince the audience that your opinion is valid and worth listening to, without the need to present completed research work and/or validated results. It is, nevertheless, important to support your argument with evidence to ensure the validity of your claims. A position paper may be a short report and discussion of ideas, facts, situations, methods, procedures or results of scientific research (bibliographic, experimental, theoretical, or other) focused on one of the conference topic areas. The acceptance of a position paper is restricted to the categories of "short paper" or "poster", i.e. a position paper is not a candidate to acceptance as "full paper".

Camera-ready:
After the reviewing process is completed, the contact author (the author who submits the paper) of each paper will be notified of the result, by e-mail. The authors are required to follow the reviews in order to improve their paper before the camera-ready submission.

Publications

All accepted papers (full, short and posters) 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/).
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.
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP and EI (Elsevier Index).
Important Dates

Conference Date: 4 - 7 October, 2012
Regular Paper Submission: April 17, 2012
Authors Notification (regular papers): June 12, 2012
Final Regular Paper Submission and Registration: July 4, 2012
Secretariat

KDIR Secretariat
Address: Av. D. Manuel I, 27A, 2º esq.
2910-595 Setúbal - Portugal
Tel.: +351 265 100 033
Fax: +44 203 014 8639
e-mail: kdir.secretariat@insticc.org
Web: http://www.kdir.ic3k.org/