TY - BOOK ID - 32842032 TI - Classification, (Big) Data Analysis and Statistical Learning AU - Mola, Francesco. AU - Conversano, Claudio. AU - Vichi, Maurizio. PY - 2018 SN - 3319557084 3319557076 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Mathematical statistics. KW - Data mining. KW - Big data. KW - Statistics. KW - Statistical Theory and Methods. KW - Statistics and Computing/Statistics Programs. KW - Statistics for Business/Economics/Mathematical Finance/Insurance. KW - Data Mining and Knowledge Discovery. KW - Big Data. KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Data sets, Large KW - Large data sets KW - Mathematics KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Statistical methods KW - Data sets KW - Statistics for Business, Management, Economics, Finance, Insurance. KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Econometrics KW - Statistics . UR - https://www.unicat.be/uniCat?func=search&query=sysid:32842032 AB - This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015. ER -