Saradha Swami - Academia.edu (original) (raw)
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Papers by Saradha Swami
International Journal of Computer Applications, 2014
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020
The symmetric group acts on the power set and also on the set of square free polynomials. These t... more The symmetric group acts on the power set and also on the set of square free polynomials. These two related representations are analyzed from the stability point of view. An application is given for the action of the symmetric group on the cohomology of the pure braid group.
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020
The Service Oriented Architecture (SOA) is developed as a pattern to distributed computing, enter... more The Service Oriented Architecture (SOA) is developed as a pattern to distributed computing, enterprise integration and process of e-business in the early decade of 2000. The sudden increase of SOA and web services are subjected to the hype and virtual in which each organization has tried for adopting them with no matter in their indeed appropriateness. There are several SOA adopted by the user which may lead to massive fail on various attempts that tried for modifying the issues to solutions fit. At present, the microservices act as a recent technique for accomplishing a similar goal established to SOA a decade ago. However, the microservice has described a specific design concept in software application as an independent set, modularity, obtaining dynamism, and heterogeneous system integration and distribution development. Therefore, the microservices have provided applications with agility and scalability. This study of literature has discovered such challenges by an evolutionary ...
Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood gluco... more Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various available traditional methods for diagnosing diabetes are based on physical and chemical tests. These methods can have errors due to different uncertainties. A number of Data mining algorithms were designed to overcome these uncertainties. Among these algorithms, amalgam KNN and ANFIS provides higher classification accuracy than the existing approaches. The main data mining algorithms discussed in this paper are EM algorithm, KNN algorithm, K-means algorithm, amalgam KNN algorithm and ANFIS algorithm. EM algorithm is the expectation-maximization algorithm used for sampling, to determine and maximize the expectation in successive iteration cycles. KNN algorithm is used for classifying the objects and used to predict the labels based on some closest training examples in the feature space. K means algorithm follows partitioning methods based on some input parameters on the datasets of n objects. Amalgam combines both the features of KNN and K means with some additional processing. ANFIS is the Adaptive Neuro Fuzzy Inference System which combines the features of adaptive neural network and Fuzzy Inference System. The data set chosen for classification and experimental simulation is based on Pima Indian Diabetic Set from University of California, Irvine (UCI) Repository of Machine Learning databases.
International Journal of Computer Applications, 2014
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020
The symmetric group acts on the power set and also on the set of square free polynomials. These t... more The symmetric group acts on the power set and also on the set of square free polynomials. These two related representations are analyzed from the stability point of view. An application is given for the action of the symmetric group on the cohomology of the pure braid group.
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020
The Service Oriented Architecture (SOA) is developed as a pattern to distributed computing, enter... more The Service Oriented Architecture (SOA) is developed as a pattern to distributed computing, enterprise integration and process of e-business in the early decade of 2000. The sudden increase of SOA and web services are subjected to the hype and virtual in which each organization has tried for adopting them with no matter in their indeed appropriateness. There are several SOA adopted by the user which may lead to massive fail on various attempts that tried for modifying the issues to solutions fit. At present, the microservices act as a recent technique for accomplishing a similar goal established to SOA a decade ago. However, the microservice has described a specific design concept in software application as an independent set, modularity, obtaining dynamism, and heterogeneous system integration and distribution development. Therefore, the microservices have provided applications with agility and scalability. This study of literature has discovered such challenges by an evolutionary ...
Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood gluco... more Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various available traditional methods for diagnosing diabetes are based on physical and chemical tests. These methods can have errors due to different uncertainties. A number of Data mining algorithms were designed to overcome these uncertainties. Among these algorithms, amalgam KNN and ANFIS provides higher classification accuracy than the existing approaches. The main data mining algorithms discussed in this paper are EM algorithm, KNN algorithm, K-means algorithm, amalgam KNN algorithm and ANFIS algorithm. EM algorithm is the expectation-maximization algorithm used for sampling, to determine and maximize the expectation in successive iteration cycles. KNN algorithm is used for classifying the objects and used to predict the labels based on some closest training examples in the feature space. K means algorithm follows partitioning methods based on some input parameters on the datasets of n objects. Amalgam combines both the features of KNN and K means with some additional processing. ANFIS is the Adaptive Neuro Fuzzy Inference System which combines the features of adaptive neural network and Fuzzy Inference System. The data set chosen for classification and experimental simulation is based on Pima Indian Diabetic Set from University of California, Irvine (UCI) Repository of Machine Learning databases.