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Explain the techniques of Data mining
Data mining techniques used have to be specific to the domain and also depend on the area of application. Important requirements are that the data collected should be relevant and of a high-quality. Analytical techniques used in data mining include statistical methods, such as, regression analysis, discriminant analysis, factor analysis, principal component analysis, word usage and co-occurrence analysis, and time-series - as well as mathematical modeling. In-depth classification and related indexes are also helpful in data mining.
Formal Reports : Formal reports are often produced as the result of an investigation or request for information required by management. A formal report can be similar in layout an
The country of Bigland has a democratically elected government which verifies broad national policies. Local services such as education, social care and environmental services are
Explain the important factors for determining wage structure of an organization? Critically analyze the role of wage theories in determining wage structure.
Optimizing cost of the compensation: compensation management is aims at optimizing cost of the compensation by establishing some kind of linkage with performance and compensation.
Question 1: (a) Show the impact of the Internet and web-based technologies on the different human resource management functions in organisations. (b) What are the cri
Effective human resources managament depends upon sound reward system. comment
Question 1: I. What is Organisational Behaviour? Discuss its relevance and importance in understanding and managing an organisation's human assets? II. What is the rol
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Job evaluation: job analysis helps in the finding the relative worth of a job, based on certain criteria such as degree of difficulty, type of the work done, skills and knowledge
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