An Approach for Predicting Hype Cycle Based on Machine Learning
نویسندگان
چکیده
Analyzing mass information and supporting insight based on analysis results are very important work but it needs much effort and time. Therefore, in this paper, we propose an approach for predicting hype cycle based on machine learning for effective, systematic, and objective information analysis and future forecasting of science and IT field. Additionally, we execute a comparative evaluation between the suggested model and Hype Cycle for Big Data, 2013 for validating the suggested model and generally used for information analysis and forecasting.
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