Abhishek Singh Chauhan - Academia.edu (original) (raw)
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Papers by Abhishek Singh Chauhan
International Journal of Innovative Research in Science, Engineering and Technology, 2013
Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule ... more Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule mining generates a large number of rules based on support and confidence. However, post analysis is required to obtain interesting rules as many of the generated rules are useless.However, the size of the database can be very large. It is very time consuming to find all the association rules from a large database, and users may be only interested in the associations among some items.So mining association rules in such a way that we maximize the occurrences of useful pattern. In this paper we study several aspects in this direction and analyze the previous research.So that we come with the advantages and disadvantages.
Advances in Intelligent Systems and Computing, 2015
Data Mining is the area of research by which we can find relevant patterns from the data set. It ... more Data Mining is the area of research by which we can find relevant patterns from the data set. It is used in several areas. In this paper we are focusing on finding relevant patterns from Positive and Negative Rules. For this we have applied Ant Colony Optimization (ACO) technique on the positive and negative rules. Our algorithm has achieved better global optimum value and chances of finding are improved. So the chances of Positive or relevant rules are more in comparison to the traditional technique. We are also applying the optimization to the negative rules so that there are equal chances for achieving the global optimum. But the negative rules are not qualifying the global optimum value and hence the relevant rules find by our algorithm are verified.
International Journal of Innovative Research in Science, Engineering and Technology, 2013
Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule ... more Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule mining generates a large number of rules based on support and confidence. However, post analysis is required to obtain interesting rules as many of the generated rules are useless.However, the size of the database can be very large. It is very time consuming to find all the association rules from a large database, and users may be only interested in the associations among some items.So mining association rules in such a way that we maximize the occurrences of useful pattern. In this paper we study several aspects in this direction and analyze the previous research.So that we come with the advantages and disadvantages.
Advances in Intelligent Systems and Computing, 2015
Data Mining is the area of research by which we can find relevant patterns from the data set. It ... more Data Mining is the area of research by which we can find relevant patterns from the data set. It is used in several areas. In this paper we are focusing on finding relevant patterns from Positive and Negative Rules. For this we have applied Ant Colony Optimization (ACO) technique on the positive and negative rules. Our algorithm has achieved better global optimum value and chances of finding are improved. So the chances of Positive or relevant rules are more in comparison to the traditional technique. We are also applying the optimization to the negative rules so that there are equal chances for achieving the global optimum. But the negative rules are not qualifying the global optimum value and hence the relevant rules find by our algorithm are verified.