Title: Mathematical methods for knowledge discovery and data mining
First published: 2007
Description: "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.
Subjects: Mathematical models, Knowledge acquisition (Expert systems), Data mining, Математика, Mathematics, Knowledge acquisition (expert systems)
LC classification: QA76.9.D343 F46 2007