Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Chapman & Hall/CRC Series in Computer Science and Data Analysis
Document related concepts
no text concepts found
Transcript
Chapman & Hall/CRC Series in Computer Science and Data Analysis Aims and scope The interface between the computer and statistical sciences is increasing, as each discipline seeks to harness the power and resources of the other. This series aims to capture new developments and summarize what is known over the whole spectrum of the computer sciences and statistics. It seeks to foster the integration between the computer sciences and statistical, numerical and probabilistic methods by publishing a broad range of reference works, textbooks and handbooks. The scope of the series includes computational statistics, data mining, machine learning, exploratory data analysis, pattern recognition, AI, statistical and computational learning theory, statistical software and graphics, data visualization, imaging, Bayesian data analysis, computer security, and internet data analysis. The titles included in the series are designed to appeal to students, researchers and professionals in computer and information science, statistics, mathematics, probability, and engineering, as well as interdisciplinary researchers involved in the field. The inclusion of real-life examples and applications is highly encouraged, as is specific software implementation. SERIES EDITORS David Madigan Department of Statistics Rutgers University Piscataway, NJ [email protected] Padhraic Smyth Information and Computer Science University of California, Irvine California [email protected] Proposals for the series should be submitted to one of the series editors above or directly to: Kirsty Stroud Commissioning Editor CRC Press 23 Blades Court Deodar Road London SW15 2NU UK [email protected]
