Conference name: KDIR- International Conference on Knowledge Discovery and Information Retrieval

Venue: Barcelona, Spain

Event Date:4-7 October, 2012


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.
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.

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


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/