Titlebook: Data Science and Analytics; 5th International Co Usha Batra,Nihar Ranjan Roy,Brajendra Panda Conference proceedings 2020 Springer Nature Si

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Model Performance Evaluation: Sales Prediction doing sales predictions correctly are approximately 10% more likely to enhance their revenue growth year-by-year. In this paper, we have used one such data of a very popular store. The major focus is on hypothesis formation, feature engineering and applying various Machine learning Algorithms. At l

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Hybrid Entropy Method for Large Data Set Reduction Using MLP-ANN and SVM Classifierss of reduced data size and mean classification accuracy is measured and compared with existing instance based learning and attribute reduction methods. The experimental result reveals that the performance of the proposed method is positively better than current methods.

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Effect Analysis of Contrast Enhancement Techniques on Cancer Classification in Colon Histopathology ancement results are analyzed based on both objective qualitative assessment as well as subjective assessment given in the form of scores by the pathologists. And thus based on the qualitative analysis, a new combined technique i.e. Colormap Enhanced Image Sharpening is proposed in order to get an e

Rustproof

Identification of Novel Drug Targets in Pathogenic ,: An , Approachor analysis is performed. The resultant dataset is prioritized for metabolic pathway analysis. In addition, functional annotation and subcellular localization is accomplished. The results reveal that 5 genes namely His6, FasA, PabaA, FtmA and erg6 might work as promising wide-spectrum drug targets f

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ANN Based Direct Modelling of T Type Thermocouple for Alleviating Non Linearitylect the best curve fitting procedure for the mentioned set of inputs and outputs data there are no specific rules. The issue is of extraordinary intrigued in measurement and estimation applications. This paper reports on the implementation of a transducer modeling strategy based on an Artificial Ne

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Forecasting of Literacy Rate Using Statistical and Data Mining Methods of Chhattisgarharh in 2021 is 75.502%. This forecasting will help to monitor literacy rate of Chhattisgarh and may help to improve its rank among other states. The main tool used for forecasting is the R language, used for data mining.

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