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 Mining Data Envelopment Analysis using Clustering Approach. for Heterogeneous Decision Making Units
Наименование:

Mining Data Envelopment Analysis using Clustering Approach. for Heterogeneous Decision Making Units

автор Hassan N. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 132        мягкая обложка       
Аннотация:This book is originally a Ph. D. dissertation at NDSU,Fargo, ND, USA. The book includes the different preprocessing stages used in applying different approaches of data mining. This book integrates two important fields of information technology, data mining and data envelopment analysis (DEA), to provide a new tool for measuring the performance of decision making units (DMU). In this book, a comprehensive model is presented. A constraint based clustering method is introduced for early detection of outliers to evaluate the performance scores of non homogeneous DMUs. Many investigations have dealt with the DEA models, but few have focused on heterogeneous DMUs, outlier detection, and scalability over large data sets. Along with the theory, an extensive analysis in assessing the transportation system funding for school districts in the state of North Dakota is provided.
Автор: Hassan N.
Издательство: Книга по Требованию
Год:2009
Цена:
2402 руб
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Поиск: Mining Data Envelopment Analysis using Clustering Approach. for Heterogeneous Decision Making Units
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Evaluating the GPRS Radio Interface for Different Quality of Service...

I co ras o he models developed i , our approach addi io ally represe s he mobili y of users hrough arrival ra es of ew GSM a d GPRS users as well as ha dover ra es of GSM a d GPRS users from eighbori g cells. Fur hermore, we co sider users wi h differe QoS profiles modeled by a weigh ed fair queuei g scheme accordi g o . he remai der of he paper is orga ized as follows. Sec io 2 describes he basic GPRS e work archi ec ure, he radio i erface, a d differe QoS profiles, which will be co sidered i he simula or. I Sec io 3 we describe he sof ware archi ec ure of he GPRS simula or, de ails abou he mobili y of GSM a d GPRS users, he way we modeled quali y of service profiles, a d he workload model we used. Resul s of he simula io s udies are prese ed i Sec io 4. We provide curves for average carried raffic a d packe loss probabili ies for differe cha el alloca io schemes a d packe priori ies as well as curves for average hroughpu per GPRS user.3 he Simula io Model We co sider a clus er comprisi g of sever hexadiago al cells i a i egra ed GSM/GPRS e work, servi g circui -swi ched voice a d packe -swi ched da a calls. he performa ce s udies prese ed i Sec io 4 were co duc ed for he i ermos cell of he seve cell clus er.
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