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What is data mining in Computer Science?

Data mining. Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods)...

How is data mining used in law enforcement?

National databases like those of the FBI OneDOJ, regional data sharing and state level fusion centers are another layer of available data. Using techniques like artificial intelligence, statistical analysis and visualization methodologies, data mining can identify unusual or subtle patterns in this myriad of data.

What are the characteristics of data mining?

Definition of 'Data Mining' 1 Automatic pattern predictions based on trend and behaviour analysis. 2 Prediction based on likely outcomes. 3 Creation of decision-oriented information. 4 Focus on large data sets and databases for analysis. 5 Clustering based on finding and visually documented groups of facts not previously known.

Why is data mining a misnomer?

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. It also is a buzzword and is frequently applied to any form of large-scale data or information processing ( collection, extraction, warehousing, analysis,...

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