A NOVEL APPROACH FOR PERSONALIZED BIGDATA SECURITY SYSTEM

In this technological advanced and digitalization era, there are many number of organizationsfacing a problem of data explosion, as well the sizes of the database are also growingexponentially. In today's electronic age, there are so many ways to generate data like socialnetworks, financial transactions, hospitals, business, web service etc. The data collected areof type both structural and unstructured form. These are at very large scale, storing of thesedata is also important, but processing of the information and the analyzing of informationplays a major role. Extracting meaningful data from the unstructured data is a big task. Thedata mining techniques can be considered as the sequence of steps followed for searchingpatterns or identifying correlations between large numbers of fields within a huge relationaldatabase. Recent improvements in the area of data mining and machine learning haveempowered the research in biomedical field to improve the condition of general healthcare.Within the medical data, the medical data mining searches for patterns and relationshipswhich can provide useful information for appropriate medical diagnosis.

Autorentext
Dr. Bindiya M .K, working as Associate Professor in Computer Science and Engineering, SJBIT, Bangalore, Karnataka, India. She obtained her B.E, in Computer Science and Engineering, from BCE Shravanabelagola in the year 2003, and M.Tech in Computer Science and Engineering from SJCIT in the year 2011 and Ph.D in CSE FROM VTU Belagavi.