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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OVERVIEW OF HUMAN RESOURCE ACCOUNTING AND THE POSSIBILITY OF IMPLEMENTATION IN PT X [pic] by: Adyarina Kusuma Prihandika 040913153 Faculty of Economics UNIVERSITAS AIRLANGGA SURABAYA 2011 CHAPTER I INTRODUCTION 1. Background To ensure growth and development of any organisation‚ the efficiency of people must be augmented in the right perspective. Without human resources‚ the other resources cannot be operationally effective. The efficient and effective utilization of
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of these limitations‚ it has been tried to enrich this report by proper and authentic information. It has been tried to be rational with the real figure of traffic jam. It is believed that this report will help the follower to go for further analysis. Chapter 02: Methodology 2.1 Population Parameters A parameter is a numerical summary of a population; because populations have so many members‚ these can never be known except if a census is taken. 2.2 Sampling Design In the theory of
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For more information on iDecisionTM‚ please contact: Sanjib Ghosh | sajib.gosh@techmahindra.com Ramesh Kumar Koona | rameshkumar_koona@mahindrasatyam.com About Tech Mahindra: Tech Mahindra is a global systems integrator and business transformation consulting firm focused on the communications industry. Tech Mahindra helps companies innovate and transform by leveraging its unique insights‚ differentiated services and flexible partnering models. This has helped customers reduce operating costs‚
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NAME: VISHALKUMAR DIPAKBHAI KACHHIA STUDENT ID: SPI8003 BSBRES401A ANALYSE AND PRESENT RESEARCH INFORMATION Project (TASK 1) Answer the following question. 1. From the following sources can information be gathered for analysis. Internet Report Charts Graphs Sales and financial report Newspaper Magazine Poster Jobs specification Resource information Legal requirement etc... 2. Explain the difference between primary and secondary information. Primary Information Secondary Information
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explanation of data Interpretation and analysis of data Findings Recommendations Bibliography Appendix Introduction (one page only) Explain why this research is of interest to you Purpose of Investigation Objectives Methodology (Primary and secondary sources of data. Describe the procedures used to collect data) Presentation and Explanation of Data (Present data in qualitative and quantitative formats eg. tables and graphs) Interpretation and Analysis of Data Interpret
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research in a systematic way to judge its trustworthiness‚ effectiveness and also to evaluate its relevance in a particular context. In this assignment the analysis is going to focus on the importance of mixed method in a case study in the research article. The research used a mixed methodology to explore palliative care needs of non-cancerous patients. Data was collected from patients themselves‚ their significant others and their clinical team who are responsible for their care. To undertake this study
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AN E-BOOK SERIES Publishers of Big Data DATA SCIENCE BIG DATA PREDICTIVE MODELING HARNESSING THE POWER OF BIG DATA THROUGH EDUCATION AND DATA-DRIVEN DECISION MAKING Sponsored by OPEN SOURCE DATA ANALYTICS Bigger. Faster. Better. Revolution R Enterprise is fast‚ powerful‚ and scales to fit your needs. Perform Big Data Analytics at speed and at scale. R-based analytics in-Hadoop and in-Database reduce latency and eliminate sampling. RRE is 100% R—get everything
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