Titlebook: Algorithms in Machine Learning Paradigms; Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik D Book 2020 Springer Nature Singapore Pte Ltd.

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Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik DDiscusses machine learning applications.Includes a wide variety of problems using learning algorithms along with applications.Comprises chapters from experts in the field

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Unsupervised Feature Selection Using Information-Theoretic Graph-Based Approach,ng of important features reduces the execution time and increases the predictive ability of the machine learning model. This paper presents a novel graph-based feature selection algorithm for unsupervised learning. Unlike many of the algorithms using correlation as a measure of dependency between fe

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Handling Seasonal Pattern and Prediction Using Fuzzy Time Series Model,em of seasonality. A few hybrid fuzzy time series models investigated the problem of forecasting in the presence of seasonal variation. But these techniques follow complex computational procedures. The aim of this present study is to develop a new fuzzy time series forecasting model that can process

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Automatic Classification of Fruits and Vegetables: A Texture-Based Approach,ect of the agricultural industry. It is quite challenging to automatically classify fruits and vegetables from digital images. The task of automatic classification becomes more difficult when the image is captured from a different viewing angle. This paper proposes a complete texture-based approach