Traditional marketing research often involves assessing the overall market for a good or service, surveying consumers about their likes and dislikes, and conducting focus groups to gauge consumer ...

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 defined as the process of seeking interesting or valuable information within large data sets. This presents novel challenges and problems, distinct from those typically arising in the ...

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 ...

ROUND ROCK, Texas--(BUSINESS WIRE)--Dell today announced the acquisition of StatSoft, a leading provider of advanced analytics solutions that deliver a wide range of data mining, predictive analytics ...

Data collected from hematopoietic SCT (HSCT) centers are becoming more abundant and complex owing to the formation of organized registries and incorporation of biological data. Typically, conventional ...