Anomaly detection can be used to determine when something is noticeably different from the regular pattern. BYU professor Christophe Giraud-Carrier, director of the BYU Data Mining Lab, gave the ...
The amount of data in the world and in the people lives seems ever-increasing and there’s no end to it. The authors are overwhelmed with data. The WWW overwhelms the user with information. The Weka ...
The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...
Data mining is a process that turns large volumes of raw data into actionable intelligence. Data mining uses statistics and artificial intelligence to look for trends and anomalies in data. It's used ...
Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...
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