Advances in Intelligent Information Systems

Part I: Classification.- Part II: Approximation & Data Security.- Part III: Knowledge Management.- Part IV: Applications.

Overview over the latest research in intelligent information systems

Zusammenfassung

Part I: Classification.- Part II: Approximation & Data Security.- Part III: Knowledge Management.- Part IV: Applications.

Inhalt
Classification.- Nonredundant Generalized Rules and Their Impact in Classification.- Asymmetric and Sample Size Sensitive Entropy Measures for Supervised Learning.- Algebra and Topology for Dominance-Based Rough Set Approach.- Approximation & Data Security.- Approximate Relational Reasoning by Stochastic Propositionalization.- LSA-Based Compression of Data Cubes for Efficient Approximate Range-SUM Query Answering in OLAP.- Security Requirements Engineering: The SI* Modeling Language and the Secure Tropos Methodology.- Privacy Protection for Genomic Data: Current Techniques and Challenges.- Knowledge Management.- Unifying the Concept of Collection in Digital Libraries.- Inferring User Goals from Sets of Independent Queries in a Multidatabase Environment.- The CPT Structure of Variable Elimination in Discrete Bayesian Networks.- Summaries of Action Rules by Agglomerative Clustering.- Applications.- Bar Charts in Popular Media: Conveying Their Message to Visually Impaired Users via Speech.- Conceptual Development of Mental Health Ontologies.- Multiple Classifiers for Different Features in Timbre Estimation.- Identification of Musical Instruments by Features Describing Sound Changes in Time.