Data mining

What is Data Mining ? | Definition of Data Mining. Components, Need and Applications of Data Mining. Advantages & Disadvantages of Data Mining

Data mining is a part of data collection that is vital in the discovery of important information and understanding its different aspects. Data collection is the process of gathering, measuring, and…

The process of obtaining information from vast volumes of data is known as data mining. The phrase is a misnomer. Because it emphasizes mining from vast volumes of data, knowledge mining would have been a better name for data mining. It is the computational process of using techniques from artificial intelligence, machine learning, statistics, and database systems to find patterns in massive data sets. The data mining process's main objectives are extracting information from a data set and…

Data Mining Process. Illustration depicting data mining of computer information #Sponsored , #Paid, #AFFILIATE, #Process, #Data, #computer, #Illustration

Guest post by Eric Schwartzman, founder and CEO of Comply Socially, which helps employers manage the risk and capitalize on the opportunities of social media in the workplace. Follow him on Twitter @EricSchwartzman The online Boston Marathon bombing witch-hunt last week dragged social media down to a new low. Social media has become “the cocktail party from hell,” writes Maureen Down in her column “…with the flood of information jeopardizing meaning.” When everyone’s talking about a crisis…

data science, datascience, data-science, ds, career in data science, Programming language for data science, Scope in data science, Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data.

Data mining is the software-driven analysis of large batches of data in order to identify meaningful patterns.

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