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Concept maps are a pictorial representation of concepts found in data and it shows relationship between concepts. These Concept map help us to understand the whole data content, makes it easily readable and memorable. They are used to deliver complex data in an understandable form (map, tree, graph, etc), which is used for a better understanding and decision making for researchers and business, etc. This paper discusses the recent researches about concept maps and data mining techniques, and graph reading algorithms used for concept map generation.

A Survey on Contribution of Data Mining Techniques and Graph Reading Algorithms in Concept Map Generation