ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and ...

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Data mining has evolved from the esoteric domain of the mathematician to the expert statistician’s programming and workbench tools and, at last, to the realm of widely accessible business applications ...

Data mining is enhanced, often dramatically, when the source data are improved. The ultimate goal is for data mining to be performed off a platform that we at Wheaton Group refer to as best-practices ...

rom predicting how many Marines will leave the Corps to rooting out fraudulent health-care bills for the Health Care Financing Administration, data mining is becoming a popular technological tool for ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...

This article demonstrates the capacity of a combination of different data mining (DM) methods to support diagnosis in pediatric emergency patients. By using a novel combination of these DM procedures, ...

More than simply bits and bytes, big data is now a multibillion-dollar business opportunity. Savvy organizations, from retailers to manufacturers, are fast discovering the power of turning consumers’ ...