Data Mining V: Data Mining, Text Mining and Their Business Applications

Abstract

Part I: Methodological Approaches Section 1: Data mining Learning networks for tornado forecasting: a Bayesian perspective Outlier detection based on projection-based ordering On extending F-measure and G-mean metrics to multi-class problems Multivariate interdependent discretization in discovering the best correlated attribute Estimation and extension of the Stochastic Schemata Exploiter Decision making on operational data: a remote approach to distributed data monitoring A multi-strategy approach for mining multimedia data repositories Section 2: Text mining A multi-criteria decision making approach in feature selection for enhancing text categorization Multilingual text mining The protein ontology project: structured vocabularies for proteins Text mining for stock movement predictions: a Malaysian perspective Medical communication quality in the Italian pharmaceutical industry: measurement and analysis by 'NOOS' A comparison of two algorithms for discovering repeated word sequences A genetic algorithm for text mining The process of sensemaking on the telework virtual community using text mining Knowledge discovery in large text databases using the MST algorithm Textual document pre-processing and feature extraction in OLEX Naive rule induction for text classification based on key-phrases Renovation of terms adjustment and effective model combination impact on information retrieval performance Linguistic summaries on small screens Rule discovery in Web-based educational systems using Grammar-Based Genetic Programming Part II: Techniques Section 3: Neural networks and decision trees Multi-relational data mining in Microsoft SQL Server' Neural network models for the development and evaluation of new fuels CC4.5: cost-sensitive decision tree pruning Cooling Growing Grid: an incremental self-organizing neural network for data exploration Pleiotropic microarray gene expression data: advanced tandem multivariate data mining A decision tree classifier for vehicle failure isolation Section 4: Link analysis A method for generating aggregated associations between discrete data features X3-Miner: mining patterns from an XML database Section 5: Clustering and categorisation Mining association rules from qualitative and quantitative clustering HyperClustering: from the digital divide to a GRID e-workspace DEA implementation and clustering analysis using the K-Means algorithm A hybrid method to categorize HTML documents Part III: Applications Section 6: Consumer and strategic intelligence Application of technology prospective to business sectorial studies Discovering common interests and problems to improve working conditions at a large company The use of knowledge discovery techniques for behavioural scoring Providing database encryption as a scalable enterprise infrastructure service National Security and threat awareness Measuring user satisfaction with intelligent agents: an exploratory study A clustering approach for knowledge discovery in database marketing Section 7: Applications in science, engineering and life sciences Evaluation of clinical prediction rules using a convergence of knowledge-driven and data-driven methods: a semio-fuzzy approach Evolving neural networks to flow cytometric data interpretation Classification algorithms and analyzing the functionality of protein families Mining GPS logs to augment location models An adaptive Bayesian classification for real-time image analysis in real-time particle monitoring for polymer film manufacturing Section 8: Applications in business, industry and government Mining effective design solutions based on a model-driven approach Application of fuzzy models and neural models in financial time series E-commerce models for banks' profitability Sarbanes-Oxley, Basel II, and data mining opportunities in compliance systems Survival data mining in the telecommunications industries: usefulness and complications Data mining methods in a metrics-deprived inventory transactions environment Ecological mining - a case study on dam water quality Improving effectiveness of Web sites using incremental data mining over clickstreams Data mining education for external auditors