Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Almost 10 percent of U.S. residents now receive their healthcare from an accountable care organization.1 The momentum toward outcome-based reimbursement is starting to approach the tipping point. As ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...

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 ...

Think of data mining as digging for digital gold. It’s the technique of studying big data to reveal insights, trends, and links that aren't instantly apparent. In simple terms, it takes unprocessed ...

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 ...