A Framework for Ranking of Colleges Based on Unstructured Data using k-Anonymity Algorithm in Hadoop.

Choosing a right measure in assessing the education system might be a great challenge in present scenario. As the numbers of technical institutions are increasing enormously, students and parents are uncertain to take up higher education in a reputed institution. The information regarding colleges or institutions is graded by many institutional stake holders and others through social networking sites like Twitter. The large volume of data generated through social networking sites is unstructured which is posted by different kinds of people. Processing the unstructured data is a tedious process. To rank the institutions based on the unstructured data would be a difficult process using traditional or conventional data mining techniques and tools. The proposed framework is for ranking the institutions based on K-anonymity algorithm which is implemented in HADOOP and HIVE. This method improves the efficiency and accuracy of the data processing compare to the traditional methods. - See more at: