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Ravinder, Handanhal; Misra, Ram B. – American Journal of Business Education, 2014
ABC analysis is a well-established categorization technique based on the Pareto Principle for determining which items should get priority in the management of a company's inventory. In discussing this topic, today's operations management and supply chain textbooks focus on dollar volume as the sole criterion for performing the categorization. The…
Descriptors: Facility Inventory, Evaluation Methods, Classification, Administration
Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
van Rijsbergen, C. J. – Information Storage and Retrieval, 1974
Reports the results of experiments in document clustering using three well-known test collections. (Author)
Descriptors: Classification, Cluster Grouping, Evaluation Methods, Information Retrieval
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Two papers are included as Part Four of this report on Salton's Magical Automatic Retriever of Texts (SMART) project report. The first paper: "A Controlled Single Pass Classification Algorithm with Application to Multilevel Clustering" by D. B. Johnson and J. M. Laferente presents a single pass clustering method which compares favorably…
Descriptors: Algorithms, Automation, Classification, Cluster Grouping
Carpenter, Dick – Journal of School Choice, 2006
To date, few studies have quantitatively examined within-group differences among charter schools. This is largely due to the lack of a workable typology with which to describe and classify schools. This study fills that gap with a two dimensional typology constructed from a sample of 1182 charter schools in five states--Arizona, California,…
Descriptors: Charter Schools, Classification, Cluster Grouping, State Surveys
Luan, Jing – Online Submission, 2004
This explorative data mining project used distance based clustering algorithm to study 3 indicators, called OIndex, of student behavioral data and stabilized at a 6-cluster scenario following an exhaustive explorative study of 4, 5, and 6 cluster scenarios produced by K-Means and TwoStep algorithms. Using principles in data mining, the study…
Descriptors: Educational Strategies, Evaluation Methods, Student Behavior, College Students