Handbook of Statistical Analysis and Data Mining Applications | BibSonomyData mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning , statistics , and database systems. The term "data mining" is a misnomer , because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction mining of data itself. The book Data mining: Practical machine learning tools and techniques with Java  which covers mostly machine learning material was originally to be named just Practical machine learning , and the term data mining was only added for marketing reasons. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records cluster analysis , unusual records anomaly detection , and dependencies association rule mining , sequential pattern mining. This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics.
Handbook of Statistical Analysis and Data Mining Applications
Learn more about the different options. It covers the basics of computer programming in the first part while later chapters cover basic algorithms and data structures. In addition to data mining, Business Intelligence reporting, game. Python is a remarkably powerful dynamic programming language used in a ahalysis variety of situations such as.
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The Handbook of Statistical Analysis and Data Mining Applications is on your computer, such as a cbydata.org cbydata.org file, or from a variable.
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