R is an open source programming language used for statistical analysis. Includes a command-line interface and various graphical interfaces. Popular types of algorithms are linear and nonlinear modeling, time series analysis, classification, and clustering. According to Gartner research, more than 50% of data science teams currently use R to a certain capacity. The R language competes with commercial products such as SAS and Fuzzy Logix.
Data mining is ultimately the process of analyzing hidden data patterns according to different perspectives for grouping useful information, collected and consolidated in common areas such as data warehouses, data mining algorithms, facilitating business decision-making, and other information requirements, in order to reduce costs and increase profits.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
Data Mart is a slice of the data warehouse logical model that serves a narrow group of users. Many data subsets only need a subset of data from the full tables in the data warehouse.
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