Dd Prasad - Academia.edu (original) (raw)
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Papers by Dd Prasad
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019
The existing data can be further processed by using data mining techniques for novel discovery of... more The existing data can be further processed by using data mining techniques for novel discovery of knowledge. Classification is one of the techniques used for knowledge discovery. One of the most popular models used for knowledge representation is decision trees due to its easy of interpretation. Class imbalance data sources are of the critical and most popular data sources for their real time availability. The existing classification techniques are bottle necked in the scenario for skewed distributed data. To address his short coming, we have proposed a novel algorithm With In class Majority Under Sampling (WIMUS) for improved learning. The results generated are encouraging to show that our proposed approach is effective on class imbalance data sources.
— The immense volumes of data are populated into repositories from various applications. In order... more — The immense volumes of data are populated into repositories from various applications. In order to find out desired information and knowledge from large datasets, the data mining techniques are very much helpful. Classification is one of the knowledge discovery techniques. In Classification, Decision trees are very popular in research community due to simplicity and easy comprehensibility. This paper presentsan updated review of recent developments in the field of decision trees.
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019
The existing data can be further processed by using data mining techniques for novel discovery of... more The existing data can be further processed by using data mining techniques for novel discovery of knowledge. Classification is one of the techniques used for knowledge discovery. One of the most popular models used for knowledge representation is decision trees due to its easy of interpretation. Class imbalance data sources are of the critical and most popular data sources for their real time availability. The existing classification techniques are bottle necked in the scenario for skewed distributed data. To address his short coming, we have proposed a novel algorithm With In class Majority Under Sampling (WIMUS) for improved learning. The results generated are encouraging to show that our proposed approach is effective on class imbalance data sources.
— The immense volumes of data are populated into repositories from various applications. In order... more — The immense volumes of data are populated into repositories from various applications. In order to find out desired information and knowledge from large datasets, the data mining techniques are very much helpful. Classification is one of the knowledge discovery techniques. In Classification, Decision trees are very popular in research community due to simplicity and easy comprehensibility. This paper presentsan updated review of recent developments in the field of decision trees.