Data Mining Methods and Models

eBook Information

Data Mining Methods and Models ISBN  0471666564 Release Date  30 January 2006 Category  Data Mining Tags  mining,   "data mining",   data mining,   text mining,   0471666564,   data mining methods and models,   model,   rational rose,   data and mining,   data structures,   "mining",   numerical methods,   graphical models,   data,   regression models,   data warehouse,   research method,   This book @Amazon  View Tools Google Search Web flazx.com

Description Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategic Risk Assessment based on Organizational Modelling A companion Web site features downloads of large data sets used in the chapter projects, with a discussion area and message board, where readers are encouraged to exchange ideas Other books on Data Mining Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference) Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Principles of Data Mining (Undergraduate Topics in Computer Science) Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence) Research And Trends in Data Mining Technologies And Applications (Advances in Data Warehousing and Mining Series) (Advances in Data Warehousing and Mining ... in Data Warehousing and Mining Series) Quality Measures in Data Mining (Studies in Computational Intelligence) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)