Open standards and cloud computing: KDD-2009 panel report
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient deployment of predictive analytics through open standards and cloud computing
ACM SIGKDD Explorations Newsletter
Predictive blacklisting as an implicit recommendation system
INFOCOM'10 Proceedings of the 29th conference on Information communications
Leakage in data mining: formulation, detection, and avoidance
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Intelligent clinical decision support systems for non-invasive bladder cancer diagnosis
CIBB'10 Proceedings of the 7th international conference on Computational intelligence methods for bioinformatics and biostatistics
Information technology for healthcare transformation
IBM Journal of Research and Development
Clustering very large dissimilarity data sets
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Capacity forecasting in a backup storage environment
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
Journal of Ambient Intelligence and Smart Environments
Improving classifier performance by knowledge-driven data preparation
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Leakage in data mining: Formulation, detection, and avoidance
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Analysing 3G radio network performance with fuzzy methods
Neurocomputing
An efficient and probabilistic secure bit-decomposition
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
A service oriented architecture to provide data mining services for non-expert data miners
Decision Support Systems
Ensemble methods for advanced skier days prediction
Expert Systems with Applications: An International Journal
Data stream mining for predicting software build outcomes using source code metrics
Information and Software Technology
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The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book