Title :
Data analysis, mathematical statistics, machine learning, data mining: Similarities and differences
Abstract :
An attempt is made to bring some structure in the meanings of the title subjects based on the perspectives at which they view the data. A rigid framework for Data Analysis is proposed pointing out its role in augmenting the knowledge of a phenomenon the data relate to. In particular, the task of summarization as a general problem is discussed. The ingredients of a data analysis problem are described as a base for positioning of various approaches in data analysis and mathematical statistics.
Keywords :
data analysis; data mining; learning (artificial intelligence); statistical analysis; data analysis; data mining; machine learning; mathematical statistics; Correlation; Data analysis; Data mining; Data models; Decoding; Fitting; Mathematical model;
Conference_Titel :
Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4577-1688-1
