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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36.74 yrs) arrested for driving while intoxicated (DWI). Five subtypes were defined through cluster analysis of driving-attitudinal‚ personality‚ and hostility measures. Two subtypes were found to have particularly high levels of risk-enhancing traits. The first was characterized by the highest levels of depression and resentment as well as the lowest levels of assertiveness‚ emotional adjustment‚ and perceived control. The second was characterized by the highest levels of driving-related aggression
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| |Singular Value |Closely related to principal components analysis‚ it reduces the overall dimensionality of the input | |Decomposition (SVD): |matrix (number of input documents by number of extracted terms) to a lower dimensional space‚ where each | | |consecutive dimension represents
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ISO CASE STUDY Broadway Cafe AUTHORS Julio Romero Zapata – Student ID 3031203 Amanthi Wijeyekoon – Student ID 3037866 Clara Chong – Student ID 3047408 Tina Swaker – Student ID 121271 Table of Contents Table of Contents 1 1 Introduction 2 1.1 Assumptions 2 1.2 Where to from here 3 1.3 Use of Groupware tool 3 2 Competitive Advantage 4 2.1 Making business decisions I – Porter’s Five Forces & Generic Strategy 4 2.2 Making business decisions II – Customer Order Process 5 3 Customer Relationship Management
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quick word counts to laborious‚ in-depth‚ line-by-line scrutiny. Techniques are compared on six dimensions: (1) appropriateness for data types‚ (2) required labor‚ (3) required expertise‚ (4) stage of analysis‚ (5) number and types of themes to be generated‚ and (6) issues of reliability and validity. Keywords: theme identification; qualitative analysis; text analysis; open coding; qualitative research methods Analyzing text involves several tasks: (1) discovering themes and subthemes‚ (2) winnowing
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action plan and methods for monitoring and updating. Second part illustrates 1. Data collection methods i) Primary research technique ii) Secondary research technique 2. Analysis of appropriate date i.e. i) Qualitative Data ii) Quantitative Data And the third and final part shows how to: 1. Record findings 2. Present and summarize the findings in suitable methods 3. Evaluate the methodology and analysis of the findings 4. Propose recommendations for future research LEARNING OUTCOME
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"Converting raw‚ open ended data from large sample sizes into meaningful categories that the researcher can utilize to quantify the results presents a challenge" (Culp‚ 1998). Several strategies can be used to convert these responses into meaningful information. Using qualitative data analysis software is rapidly becoming feasible. Using software applications that support content analysis and data linking and those that offer advanced linguistic analysis. The content-analysis applications allow an analyst
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The dimension of a dataset‚ which is the number of variables‚ must be reduced for the data mining algorithms to operate efficiently. We present and discuss several dimension reduction approaches: (1) Incorporating domain knowledge to remove or combine categories‚ (2) using data summaries to detect information overlap between variables (and remove or combine redundant variables or categories)‚ (3) using data conversion techniques such as converting categorical variables into numerical variables
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EMPLOYEES SELECTION CRITERIA IN NIGERIA A COMPARATIVE STUDY OF PUBLIC AND PRIVATE ORGANIZATIONS IN NIGERIA. BY NWAOCHA‚ ERNEST IFEANYICHUKWU 99/MBA/1902 In Partial fulfillment of the requirement for the Award of the Masters in Business Administration (MBA)‚ College of Post Graduate Studies‚ Imo State University‚ Owerri. November‚ 2009. CERTIFICATION This is to certify that the project was carried out by Nwaocha Ernest Ifeanyichukwu in the Department of Management‚ college of
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qualitative research methods and approaches in collecting and analyzing data. 2. Conduct qualitative research methods in education. 3. Critical in evaluating research reports. 4. Demonstrate ethical practices in collecting and analyzing data. | SYNOPSISLECTURERS’ DETAILS : | :: | The course exposes students to the techniques for collecting‚ analyzing and interpreting qualitative data. The course will operate on two inter-related dimensions‚ one focused
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