• Mahendran E
• Mahendran E

Context Awareness is promising technologies that provides health care services and enrich area of big data paradigm. The drift in Knowledge Discovery from Data refers to a set of activities designed to refine and extract new knowledge from complex datasets. The proposed model facilitates a parallel mining of frequent item sets for Ambient Assisted Living (AAL) System of big data that reside inside a cloud environment. We extend a knowledge discovery framework for processing and classifying the abnormal conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate (HR) by employing Frequent Item Ultra-metric Tree (FIUT). The evaluation can be shown to deliver a much better estimate in detecting proper anomalous situations for different types of patients. This culminates in augmented accuracy. The very efficacy of Context Awareness lies in its technical feasibility to be applied in day-to-day activities of health sector benefitting the common man. The FIU Tree algorithm has been shown to be a non-failing technique under any boundaryvalue-conditioned dataset. This project encompasses lots of research and application scope and therefore fit to be carried out.

Cloud Computing, Virtualization, Hadoop and Health Care.

"Context Aware Knowledge Discovery Using Hadoop Cluster in Cloud Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.g17-g28, March-2022, Available :http://www.jetir.org/papers/JETIR2203605.pdf

"Context Aware Knowledge Discovery Using Hadoop Cluster in Cloud Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppg17-g28, March-2022, Available at : http://www.jetir.org/papers/JETIR2203605.pdf