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Constrained Clustering: Advances in Algorithms, Theory, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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·2008
·8.154 MB
Analysis of Time Series Structure: SSA and Related Techniques (Chapman & Hall CRC Monographs on Statistics & Applied Probability)
Nina Golyandina, Vladimir Nekrutkin, Anatoly A Zhigljavsky
·309 Pages
·2001
·4.636 MB
Point Sources and Multipoles in Inverse Scattering Theory. Chapman & Hall/CRC Research Notes in Mathematics, No. 427
Roland Potthast
·259 Pages
·2001
·9.878 MB
Design and Analysis of Cross-Over Trials, Second Edition (Chapman & Hall CRC Monographs on Statistics & Applied Probability)
Byron Jones
·394 Pages
·1998
·3.646 MB
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman and Hall CRC The R Series)
Andrew B Lawson
·300 Pages
·2021
·7.7 MB
Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
George Fernandez
·466 Pages
·2010
·19.539 MB
Normal Mode Analysis: Theory and Applications to Biological and Chemical Systems (Chapman & Hall/CRC Mathematical & Computational Biology)
Qiang Cui, Ivet Bahar
·448 Pages
·2005
·11.784 MB
Multi-Resolution Methods for Modeling and Control of Dynamical Systems (Chapman & Hall CRC Applied Mathematics & Nonlinear Science)
Puneet Singla, John L. Junkins
·304 Pages
·2008
·29.504 MB
Research Software Engineering: A Guide to the Open Source Ecosystem (Chapman and Hall CRC Data Science Series)
Matthias Bannert
·201 Pages
·2024
·14 MB
Hierarchical Modeling and Analysis for Spatial Data (Chapman and Hall CRC Monographs on Statistics and Applied Probability)
Sudipto Banerjee
·451 Pages
·9.1 MB
Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Luis Torgo
·306 Pages
·2011
·7.839 MB
Analyzing Spatial Models of Choice and Judgment (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
David A. Armstrong, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, Howard Rosenthal
·320 Pages
·2020
·40.733 MB
Probability and Statistical Inference: From Basic Principles to Advanced Models (Chapman & Hall/CRC Texts in Statistical Science)
Miltiadis C. Mavrakakis, Jeremy Penzer
·444 Pages
·2021
·5.662 MB
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)
Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu
·495 Pages
·2021
·22.609 MB
Analysis, Geometry, and Modeling in Finance: Advanced Methods in Option Pricing (Chapman & Hall Crc Financial Mathematics Series)
Pierre Henry-Labordere
·402 Pages
·2008
·2.536 MB
Data Mining with R: Learning with Case Studies (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Luis Torgo
·289 Pages
·2010
·1.69 MB
Geographic Data Mining and Knowledge Discovery, Second Edition (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)
Harvey J. Miller, Jiawei Han
·461 Pages
·2009
·9.432 MB
Cloud and Fog Computing Platforms for Internet of Things (Chapman & Hall/Crc Cloud Computing for Society 5.0)
Pankaj Bhambri (editor), Sita Rani (editor), Gaurav Gupta (editor), Alex Khang (editor)
·211 Pages
·2022
·25.785 MB
The Analogue of the Group Algebra for Topological Semigroups (Chapman & Hall CRC Research Notes in Mathematics Series)
H. Dzinotyiweyi
·206 Pages
·1984
·7.919 MB
Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)
Alan Agresti, Maria Kateri
·486 Pages
·2021
·15.625 MB
Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall Crc Data Mining and Knowledge Discovery Series)
David Skillicorn
·267 Pages
·2007
·5.846 MB
写给大家看的设计书(第4版)(db8.7).Robin Williams.2016
Robbin Williams & chenjin5.com
·2015
·10.0224 MB
