Classification and Data Mining

Astrostatistics and Data Mining

Data Mining in Biomedicine

Data Mining A Knowledge Discovery Approach

Data Mining with Rattle and R The Art of Excavating Data for Knowledge Discovery

Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Principles and Theory for Data Mining and Machine Learning

Web Data Mining Exploring Hyperlinks, Contents, and Usage Data

Cluster Analysis for Data Mining and System Identification

Computing with Data An Introduction to the Data Industry

Data literacy : how to make your experiments robust and reproducible

Statistical Models for Data Analysis

Algorithms from and for Nature and Life Classification and Data Analysis

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Community Structure of Complex Networks

Basics of Bioinformatics Lecture Notes of the Graduate Summer School on Bioinformatics of China

Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Modern Issues and Methods in Biostatistics

R for SAS and SPSS Users

Complex Data Modeling and Computationally Intensive Statistical Methods

Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

Classification as a Tool for Research Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009

Computational Statistics

Functional Data Analysis with R and MATLAB

R for SAS and SPSS Users

Statistical Analysis of Network Data Methods and Models

Social Computing and Behavioral Modeling

Cooperation in Classification and Data Analysis Proceedings of Two German-Japanese Workshops

A First Course in Bayesian Statistical Methods

Interactive and Dynamic Graphics for Data Analysis With R and Ggobi

Information Criteria and Statistical Modeling

Wavelet Methods in Statistics with R

Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007

Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis

Social Computing, Behavioral Modeling, and Prediction

Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

Permutation Methods A Distance Function Approach

Advances in Data Analysis Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006

Selected Contributions in Data Analysis and Classification

Multivariate Statistics Exercises and Solutions

Graphics of Large Datasets Visualizing a Million