Data Mining (Data Mining) to the concept of inside information extracted or identified patterns and relationships in large volumes of data in one or more big database. Many people discover common synonym data mining knowledge from data (KDD) know. Following the discovery of large sets of data bases and data mining and knowledge extraction, analysis and machine and cows (and Nymhmashyny) puts. These studies and exploration in fact a continuation and perpetuation of knowledge is ancient and widespread Statistics. The major difference in scale, breadth and diversity of context and use, and also present data that size are related to methods of machine learning, modeling and training shall demand.Data mining as a tool for crime detection, risk assessment and sale of products used, includes tools for data analysis in order to discover an authentic and unknown patterns among the piles of data. Data mining often in the context of national security as a tool for identifying malicious activities include handling money and their relationships as well as identifying and tracking and review records relating to immigration and travel with them.
In the course Lynda Data Science Foundations: Data Mining with the principles and methods of data mining are familiar.
Course syllabus for training of Lynda Data Science Foundations Data Mining:
– Prerequisites for Data Mining
– Data Mining using the R, Python, orange and RapidMiner
– Data clustering
– Anomaly Detection
– Analysis Forum
– Regression Analysis
– Extract sequence
– Extract text