In this paper, we have proposed the concept of weighted generalized residual entropy of or... more In this paper, we have proposed the concept of weighted generalized residual entropy of order α and type β, and have shown that the proposed measure characterizes the distribution function uniquely.
In this paper the concept of information theory is applied in the
field of data mining. As in the... more In this paper the concept of information theory is applied in the field of data mining. As in the algorithms of data mining, the classi- fication is an essential step, using an information theoretic measure in ID3 algorithm, one of the key algorithms of decision tree algorithms, we have discussed the different steps of the development of decision tree so that the best classification criteria can be developed which is helpful in making good decisions. From the data under consideration having a set of values, a property on the basis of calculation is selected as the root of the tree and the process is repeated to develop complete decision tree. Further, this method is applied to the data of Census-2011 of India to get some values worth in improving or implementing a policy and to select right policy for right people.
Information theoretic measures with its unique feature of smooth im- plementation are succes... more Information theoretic measures with its unique feature of smooth im- plementation are successfully applied in various areas such as physics, probability and statistics, communication theory and economics etc. It plays important role in data mining by improving the classifying algo- rithms. Further, it has been successfully used for classification and defin- ing rules of any type of data with ID3 algorithm. In this paper, we have modified ID3 algorithm and used generalized entropy of order α and type β to derive some more refined rules from the resultant decision tree in context with the analysis of the health conditions in the states and union territories of India.
In this paper, we have proposed the concept of weighted generalized residual entropy of or... more In this paper, we have proposed the concept of weighted generalized residual entropy of order α and type β, and have shown that the proposed measure characterizes the distribution function uniquely.
In this paper the concept of information theory is applied in the
field of data mining. As in the... more In this paper the concept of information theory is applied in the field of data mining. As in the algorithms of data mining, the classi- fication is an essential step, using an information theoretic measure in ID3 algorithm, one of the key algorithms of decision tree algorithms, we have discussed the different steps of the development of decision tree so that the best classification criteria can be developed which is helpful in making good decisions. From the data under consideration having a set of values, a property on the basis of calculation is selected as the root of the tree and the process is repeated to develop complete decision tree. Further, this method is applied to the data of Census-2011 of India to get some values worth in improving or implementing a policy and to select right policy for right people.
Information theoretic measures with its unique feature of smooth im- plementation are succes... more Information theoretic measures with its unique feature of smooth im- plementation are successfully applied in various areas such as physics, probability and statistics, communication theory and economics etc. It plays important role in data mining by improving the classifying algo- rithms. Further, it has been successfully used for classification and defin- ing rules of any type of data with ID3 algorithm. In this paper, we have modified ID3 algorithm and used generalized entropy of order α and type β to derive some more refined rules from the resultant decision tree in context with the analysis of the health conditions in the states and union territories of India.
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Research Papers by Dr Ashok Kumar
field of data mining. As in the algorithms of data mining, the classi-
fication is an essential step, using an information theoretic measure in
ID3 algorithm, one of the key algorithms of decision tree algorithms, we
have discussed the different steps of the development of decision tree so
that the best classification criteria can be developed which is helpful in
making good decisions. From the data under consideration having a set
of values, a property on the basis of calculation is selected as the root of
the tree and the process is repeated to develop complete decision tree.
Further, this method is applied to the data of Census-2011 of India to
get some values worth in improving or implementing a policy and to
select right policy for right people.
Papers by Dr Ashok Kumar
field of data mining. As in the algorithms of data mining, the classi-
fication is an essential step, using an information theoretic measure in
ID3 algorithm, one of the key algorithms of decision tree algorithms, we
have discussed the different steps of the development of decision tree so
that the best classification criteria can be developed which is helpful in
making good decisions. From the data under consideration having a set
of values, a property on the basis of calculation is selected as the root of
the tree and the process is repeated to develop complete decision tree.
Further, this method is applied to the data of Census-2011 of India to
get some values worth in improving or implementing a policy and to
select right policy for right people.