Piping “personalized PageRank” Algorithm from the Analytic Hierarchy Process(AHP) – A Case study

摘要

The core objective of any educational institution is to make a student more productive in terms of economical activity. This is simply a ripple effect towards the country's economy. But, an extensive research work is done for ranking institutions by giving more importance for publications of research papers by the faculty members of the institutions. Everybody may not like to become a scientist. But on an average, all should survive economically. By applying one of the top 10 data mining algorithms, PageRank with the Analytic hierarchy process technique, we rank the institutions purely based on the output (alumni) instead of mixing input(students)-process(teaching-learning)-output model. Here, the candidates will arrive their own personalized ranking of institutions without depending on any national or international ranking agencies.