Data mining is an important area of research and is pragmatically used in different domains
like finance, clinical research, education, healthcare etc. Further, the scope of data mining …

Medical analysis has been approached by several machine learning methods for many
years. Pattern recognition algorithms are capable of improving the quality of prediction, early …

This paper gives a brief review of how emerging database technologies can be used to
provide additional value from available health information such as electronic patient records …

Medical data mining has witnessed significant progress in the recent past. It unearths the
latent relationships among clinical attributes for finding interesting facts which helps experts …

Recently, data mining application on medical imaging have increased due to expansion
usage of them for early disease detection. In this paper, a bibliometric analysis is used to …

Sequential patterns mining from data is a well stated data mining problem. It has a number
of applications such as DNA sequencing, signal processing, speech analysis etc. In this …

Data mining is a vital region of research and is practically utilized as a part of various areas
like back, clinical research, instruction, human services and so on. Data mining is an …

Indeed, data mining techniques have been used to find hidden patterns and linkages in
health-related practices, summarize data in unique ways that are both understandable to …

Data mining is a system of social occasion gaining from such tremendous data. Data Mining
has three vital parts Grouping or Order, Affiliation Guidelines and Arrangement Investigation …

Mining patterns that occur in a certain time frame is a well defined data mining problem.
Many researchers have proposed different methods for the same. Taking time factor into …