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This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.p>.

Statistics. --- Mathematical statistics. --- Data mining. --- Biostatistics. --- Statistics and Computing/Statistics Programs. --- Data Mining and Knowledge Discovery. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Probability and Statistics in Computer Science. --- Big data --- Social aspects. --- Data sets, Large --- Large data sets --- Data sets --- Computer science. --- Statistical methods. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Informatics --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics

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