World Academic Industry Research Collaboration Organization (WAIRCO)
The dynamic data (changing datasets) is generated in various applications such as stock exchange, weather information, customer segmentations, traffic control, etc. The traditional data mining approaches are inefficient to extract knowledge from these data sets. The research efforts are on to find the knowledge from dynamic datasets. The clustering approach is one of the approaches to discover knowledge from changing datasets. In this paper, the authors come up with a survey of the clustering approaches in dynamic datasets. The authors also present the comparative study of these approaches in this paper.