A prediction model based on Big Data analysis using hybrid FCM clustering

The prediction models based on unsupervised learning are fast and need not have labeled data. However, the analysis for prediction is quite difficult, since no information about the data is given to us for learning. This paper proposes a prediction model based on Big Data analysis using hybrid FCM clustering algorithm to address these problems. The proposed model conducts automatic classification without external interference and shows the advantages of both supervised and unsupervised learning. We expect that the proposed model might contribute to enhance automation standards in various intelligent systems which need appropriate prediction using proposed framework, Co-Biz.