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What are the techniques used for data mining?
Statistical techniques, e.g., regress ional analysis, discrimination analysis, factor analysis, principal component analysis, word usage, co- occurrence analysis, and time series analysis is used for data mining.
Richness versus Reach Another perspective that accelerated the enthusiasm for KM and the development of knowledge products is the 'richness versus reach' thesis of Evans and Wu
Question: (a) Explain the direct method of forecasting workforce at the macro level. What are its main limitations? (b) The stock of mechanics in District Z stood at 2500 a
Objectives of career planning: 1. To develop an awareness of each employee's uniqueness. 2. To identify positive characteristics about the employees, which can harnessed for
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Question 1: "Job Analysis (JA) is a procedure by which pertinent information is obtained about a job, i.e. it is a detailed and systematic study of information relating to the
Need for testing: every organization should provide training to the all employees irrespective of their qualification, skill, and suitability for the job etc. Training is not some
Reputation Reputation is a critical component in an underlying component and establishing credibility in successful corporate communication. It is intricately related to shapi
tell me a bout programs offered to workers
Explain the terms knowledge The terms 'data', 'information' and 'knowledge' have been defined and distinguished in the write-up for other units of this course. We shall not rep
Q. Taylors differential piece rate system? Taylor's differential piece rate system (developed by the F W Taylor in the 1880): there is a low rate or for the o/p below the stand
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