Pattern Analysis in Academics for Mentor Systems

The technological era has changed drastically from whatit used to be few decades ago. Each person at this time may have more than one device which produces data, and being in this era, data is neither limited nor it is resistible. In decade like this every device produces data, each click produces data; this data could be structured, semistructured and unstructured containing location data to logs of sensors. The amount of data being produced every day is just increasing and there is no near future that this will slow down. This has come as a blessing to almost all sectors as this data can be used to make their future decision, thus decreasing the changes of failure. This paper aims to give pattern analysis in academic for mentor systems. We have analyzeda case study of an academic dataset of mentor systems and analyzed this to give the behavior and pattern included in the data to make better decision.