Like war, the disasters are also much unstructured in scope. The national disaster system may emp... more Like war, the disasters are also much unstructured in scope. The national disaster system may employ detailed Command and Control (C2) which is poorly equipped to deal with uncertainty, complexity and variability. The first response to uncertainty is to try to minimize it by creating a powerful, highly efficient command and control apparatus (Command Structure) able to process huge amounts of information and intended to reduce nearly all unknowns. Detailed command and control emphasizes vertical, linear information flow: in general, information flows up the chain of command and orders flow down. Discipline and coordination are imposed from above. The proposed C2 model accepts the turbulence and uncertainty of disaster. Rather than increase the level of certainty that C2 seeks, this approach of command and control reduces the degree of uncertainty that we need. This C2 for disaster management decentralizes decision-making authority and grants subordinates significant freedom of actio...
International Journal of Computer Applications, 2012
In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. Th... more In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions while attracting the student to get admission in these institutions. Most of the institutions are opened in self finance mode, so all time they feel short hand in expenditure. Therefore, institutions focused on the strength of students not on the quality of education. Indian education sector has a lot of data that can produce valuable information. Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon methodologies for extracting useful knowledge from data and there are several useful KDD tools to extract the knowledge. This knowledge can be used to increase the quality of education. But educational institution does not use any knowledge discovery process approach on these data. Now-aday a new research community, educational data mining (EDM), is growing which is intersection of data mining and pedagogy. In this paper we present the data mining method for enrollment management for MCA course.
Like war, the disasters are also much unstructured in scope. The national disaster system may emp... more Like war, the disasters are also much unstructured in scope. The national disaster system may employ detailed Command and Control (C2) which is poorly equipped to deal with uncertainty, complexity and variability. The first response to uncertainty is to try to minimize it by creating a powerful, highly efficient command and control apparatus (Command Structure) able to process huge amounts of information and intended to reduce nearly all unknowns. Detailed command and control emphasizes vertical, linear information flow: in general, information flows up the chain of command and orders flow down. Discipline and coordination are imposed from above. The proposed C2 model accepts the turbulence and uncertainty of disaster. Rather than increase the level of certainty that C2 seeks, this approach of command and control reduces the degree of uncertainty that we need. This C2 for disaster management decentralizes decision-making authority and grants subordinates significant freedom of actio...
International Journal of Computer Applications, 2012
In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. Th... more In the last two decades, number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions while attracting the student to get admission in these institutions. Most of the institutions are opened in self finance mode, so all time they feel short hand in expenditure. Therefore, institutions focused on the strength of students not on the quality of education. Indian education sector has a lot of data that can produce valuable information. Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon methodologies for extracting useful knowledge from data and there are several useful KDD tools to extract the knowledge. This knowledge can be used to increase the quality of education. But educational institution does not use any knowledge discovery process approach on these data. Now-aday a new research community, educational data mining (EDM), is growing which is intersection of data mining and pedagogy. In this paper we present the data mining method for enrollment management for MCA course.
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