Mathematical methods for knowledge discovery and data mining

• Corporate Author: IGI Global.
• Other Authors: Felici, Giovanni., Vercellis, Carlo.
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
• Subjects: Data mining.; Data mining > Mathematical models.; Knowledge acquisition (Expert systems); Analysis of service quality; Bayesian belief networks; Control signatures; Data cleaning; Data mining and visualization techniques; Discretization of rational data; Distributed knowledge discovery; Evolutionary algorithms; Fuzzy miner; Genetic clustering; Genmax algorithms; Hierarchical clustering; Hierarchical profiling; Hybrid data mining; Kernel width selection; Logical commonsense reasoning operations; Machine learning algorithms; Markov chains models; Multicategory discrete SVM; Probabilistic principal surfaces; Protein folding classification; Routing attribute data mining; Rule-based classification; Spatial navigation assistance system; Stated preference models; Support vector machines; SVM classification; Time series data mining; Vector DNF for datasets classification; Web clickstream analysis
• Online Access: View fulltext via EzAccess

 "This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.