Semantic Web and Web Science

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

A First Course in Bayesian Statistical Methods

Statistical Analysis of Network Data Methods and Models

Principles and Theory for Data Mining and Machine Learning

The elements of statistical learning : data mining, inference, and prediction

Information Criteria and Statistical Modeling

Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

Permutation Methods A Distance Function Approach

Human Activity Sensing Corpus and Applications

Data Mining for Biomarker Discovery

Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings

Innovative Computing Trends and Applications

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

Community Structure of Complex Networks

Advances in K-means Clustering A Data Mining Thinking

Advances in statistical models for data analysis

Crowdsourcing geographic knowledge : volunteered geographic information (VGI) in theory and practice

Data mining concepts, methods and applications in management and engineering design

Research and Advanced Technology for Digital Libraries : International Conference on Theory and Practice of Digital Libraries, TPDL, Berlin, Germany, September 26-28, 2011, Proceedings

Data warehousing and data mining techniques for cyber security

Similarity search : the metric space approach

Intelligence and security informatics for international security : information sharing and data mining

Time granularities in databases, data mining, and temporal reasoning

Large-scale parallel data mining