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

B. Lavanya1 , A. Auxilia Princy 
Department of Computer Science, University of Madras, Chennai-25, India

1 Email: lavanmu@gmail.com

Abstract: 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.


Research Paper Link: http://dspace.chitkara.edu.in/jspui/bitstream/123456789/810/1/4%20-%20A%20Survey%20on%20Contribution%20of%20Data%20Mining%20-%20B%20Lavanya.pdf


 DOI: https://doi.org/10.15415/jotitt.2018.62009

Comments

  1. Tanbin4 April 2025 at 21:07


    I thoroughly enjoyed your survey on the contribution of data mining across various industries. Your comprehensive analysis, complete with insightful examples, clearly demonstrates how data mining is revolutionizing decision-making and driving innovation in complex environments. The way you articulated the impact of data analytics on enhancing efficiency and uncovering new business opportunities was both enlightening and thought-provoking. It’s impressive to see how these advanced techniques can be applied across different sectors, paving the way for smarter strategies and better outcomes. On a related note, for anyone interested in transforming their space with innovative design and high-quality craftsmanship, I highly recommend checking out R for Remodelers. Their expertise in blending modern design with traditional quality is truly remarkable.

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