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This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Mathematical statistics --- Data processing. --- Statistics. --- Data mining. --- Statistical Theory and Methods. --- Data Mining and Knowledge Discovery. --- Statistics and Computing/Statistics Programs. --- Big Data. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Mathematical statistics. --- Big data. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Data sets, Large --- Large data sets --- Data sets --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics . --- Mathematical statistics—Data processing. --- Statistics and Computing. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics in Business, Management, Economics, Finance, Insurance.