weakness of the model. Another aspect that makes Hotelling’s concept weak is that it fails to recognize the existence of clustering economies‚ his concept/model sees clustering as a negative thing.
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Customer Segmentation and Analysis of a Mobile Telecommunication Company of Pakistan using Two Phase Clustering algorithm Salar Masood‚ Moaz Ali‚ Faryal Arshad‚ Ali Mustafa Qamar‚ Aatif Kamal Department of Computing School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad‚ Pakistan {09bitsmasood‚ 09bitmoaza‚ 09bitfarshad‚ mustafa.qamar‚ aatif.kamal}@seecs.edu.pk Abstract—Pakistan hosts a competitive and fluid telecommunication
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case for this‚ we identified the common routings in the highly varied product mix based on history production data. Thereafter‚ these routings are clustered into routing families by means of the discrete clustering method and the similarity coefficient algorithm. Finally‚ the results of the clustering methods are used to identify the routings that are suitable for cellular manufacturing. Routing mix analysis The first step in converting a work area into a manufacturing cell is to assess the current
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Illustrate Naïve Bayes Model of statistical learning 16. Write short notes on :- a) Naïve Bayes Model b) EM algorithm c) Statistical Learning Model 17. Describe different unsupervised learning 18. What is clustering? Describe K-Mean clustering 19. What is learning with complete data. Give Examples. 20. What is learning by analogy 21. What is Learning with hidden data . Give Examples. 22. Difference between Learning with complete and learning with hidden
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patient population is analysed to perform medical research. We propose a system which allows us to obtain data patterns with the help of clustering algorithms. In this paper we have experimented on data gathered from Community Health Centre hospital which surveys the people from various area of Ponda Goa‚ India. This medical data is then analysed using the clustering algorithms like K-means & CLIQUE. K-means algorithm reveals the percentage of a particular disease in the surveyed areas & also finds
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online purchases. These factors have resulted in increase in the quantity of the data collected. For this reason‚ the retail industry is a major application area for data mining. This paper elaborates upon the use of the data mining technique of clustering to segment customer profiles for a retail store. Retail data mining can help identify customer buying patterns and behaviours‚ improve customer service for better customer satisfaction and hence retention. The retail industry collects huge amounts
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Expert Systems with Applications 37 (2010) 5259–5264 Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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Telp. 0341-565544 Nama : Firman Agus NPM : 205.10.4.0027 Program Studi : Pendidikan Bahasa Inggris Judil Tesis : Increasing Ability to Write Draft of Composition through Clustering Technique of Eleventh Grade Students at SMK Negeri 1 Bojonegoro in Academic Year 2006/2007 ABSTRACT Key Words: Clustering‚ technique‚ draft of composition‚ increasing‚ writing skill Students often complain about writing activity in the classroom. They do not know what to write and where to
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Ramya Yapala VHDL IMPLEMENTAION USING SPIKE SORTING ALGORITHM A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE DEGREE OF MASTER OF SCIENCE IN MICRO ELECTRONICS VHDL IMPLEMENTATION USING SPIKE SORTING ALGORITHM A Thesis submitted to Newcastle University for the degree of MSc Micro Electronics 2011 Supervisor: Dr Graeme Chester Student Name: Ramya Yapala Student Number: 109230832 SCHOOL OF ELECTRICAL‚ ELECTRONIC AND COMPUTER ENGINEERING NEWCASTLE UNIVERSITY SCHOOL OF ELECTRICAL
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