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Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Ashish Khanna,Deepak Gupta,Ajay Jaiswal Conferenc

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CADBAIG: Context-Aware Dictionary-Based Automated Insight Generator,prehensive research, the state of art plays an important role but captures a great amount of human hours. In order to reduce this effort, we have proposed an approach to generate insights of research papers. It is done with the help of local context derived from the inherent section level structure
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Stock Price Prediction Using Reinforcement Learning,us segments, such as cloud scheduling and game automation. This paper demonstrates how the Q-learning technique is helpful in stock price prediction. The findings are very positive with excellent predictive accuracy and meteoric speed.
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Mobile Phone SMS Notification Behavior Analysis Using Machine Learning Technique,ks. Sometimes we miss important messages due to these kinds of promotional messages. This paper presents a prediction model to classify SMS notifications based on users’ preferences. Comparing different machine learning techniques, we have found random forest algorithm gives the highest accuracy (85%).
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