Data Mining

Section 1: Data preparation Nonlinear dimensionality reduction of large datasets for data exploration; Text preparation through extended tokenization Section 2: Clustering technologies A method for association rule quality evaluation based on information theory; K-means algorithm and its application for clustering companies listed in Zhejiang province; Fuzzy geo-processing for characterization of social groups: an application to a Brazilian mid-size city; Dynamic classification: economic welfare growth in the EU during 1995-2004; Cluster analysis of 3D seismic data for oil and gas exploration; Clustering of time series using a similarity between segments and bands determined by patterns of technical analysis; The CLUSTER3 system for goal-oriented conceptual clustering: method and preliminary results Section 3: Categorisation methods A neural-networks associative classification method for association rule mining; An efficient Bayesian network approach for discovering interesting patterns; Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions Section 4: MS SQL Server data mining (Special session by C. L. Curotto and N. F. F. Ebecken) Mining cross-predicting stochastic ARMA time series in SQL server 2005; Stability analysis of time series forecasting with ART models; Multi-relational data mining in Microsoft SQL Server 2005; Electrical thunderstorm nowcasting using lightning data mining Section 5: Text mining Computational system for the textual processing of industrial patents; Using text mining to understand the call center customers' claims; A neural-based text summarization system; Analysis and development of latent semantic indexing techniques for information retrieval Section 6: Web mining High performance environment for knowledge discovering in Portuguese language texts in the Web; On the relationship between click rate and relevance for search engines; Selecting clickstream data mining plans using a case-based reasoning application; Web page recommendation using a stochastic process model; A new algorithm to measure relevance among Web pages; A Web Mining process for e-Knowledge services Section 7: Customer relationship management A study of customer relationship management (CRM) on apparel European Web sites; Maximum resolution dichotomy for customer relations management; Telco churn analysis classification using a wavelet and RBF approach Section 8: Applications in science and engineering Protein Ontology Project: 2006 updates; Evidence-based medicine: data mining and pharmacoepidemiology research; SEQUEST: mining frequent subsequences using DMA-Strips Section 9: Applications in business, industry and government Traceability in the food-sector: the state of the art in a North Eastern Italian region; A data mining approach to support the development of long-term load forecasting; Corporate bankruptcy prediction using data mining techniques; A Text Mining based content gathering system as strategic support for SMEs; Intelligent analysis tools for computer based assessments; Information visualization for the taking of decisions Section 10: Information systems, strategies and methodologies Challenges in developing a cost-effective data warehouse for a tertiary institution in a developing country; A proposal of information system architecture for public transport; Local nulls in summarised mobile and distributed databases; A Semantic Web Portal to construction knowledge exchange; Ontological support to knowledge management in a hydrogeological information system; Enterprise Intelligence Platform in the airline industry; Improvement of generation change on SSE algorithm