ScopeKnowledge 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.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 CommerceIMPORTANT DATES› Conference date: 26-29 October, 2011Regular Paper Submission: May 10, 2011Authors Notification (regular papers): July 6, 2011Final Regular Paper Submission and Registration: July 22, 2011