Data mining; SAS (Computer program language); Fuzzy algorithms
Clustering is the process of placing data records into homogenous groups. Members of each group are similar to one another and highly different from members outside the group. The clusters are used for predictive analysis (what will happen), for...
Multivariate analysis; Stratified sets; Bayesian statistical decision theory
Data mining, at times, involves applying cluster analysis to large databases
containing multivariate normal parameters. Most finite mixture clustering methods use
the expectation-maximum (EM) algorithm to find solutions to the unknown parameters,...
The hypothesis that increased stress on rocks induced during deformation produced microstructures on minerals, which gradually intensifies as one gets closer to an isograd line. This assumption is based on increasing microfractures in the fold...
The tick has ability to transmit a greater variety of infectious agents to humans and other animal species than any other blood-feeding arthropod. Feeding over a period of days induces specific host hemostatic, inflammatory, and immune responses....
Customer relations -- Management -- Data processing; Self-organizing maps; Data mining
This study outlines a method of determining individual customer potential, based solely on data present in the customer database: descriptive information and transaction records. We define potential as the incremental turnover that any particular...
School superintendents -- Connecticut; Academic achievement -- Connecticut
What is the instructional leadership role of superintendents in districts with sustained high levels of student achievement and/or where student achievement has improved over time? The objective of the study was to identify characteristics of...
