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              <text>Plano framework for graph indexing - A statistical analysis</text>
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              <text>Graph; Graph indexing; Graph mining</text>
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              <text>Graph Mining is becoming one of the most dominant fields of research. There are plenty methods to index, re-index and to search the features throughout the index but still from the literature study there is no specific frame work which can sum up all three so that indexing and updating the index with new feature can be done in consistent intervals according to the arrival of new features. PLANO is the frame work which has the latest algorithms to look into the data and index. In this paper, Time and Memory efficiency of the proposed algorithms in the PLANO framework is tested statistically and compared with the existing algorithms memory and time usage.  Research India Publications.</text>
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              <text>Pankaj Moses Monickaraj A.; Raj Kumar J.B.; Vivekanandan K.; Boopalan E.D.</text>
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              <text>International Journal of Applied Engineering Research, Vol-10, No. 12, pp. 31613-31628.</text>
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              <text>ISSN: 9734562</text>
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              <text>Pankaj Moses Monickaraj A., Dept. of Computer Science and Engg, Christ University, India; Raj Kumar J.B., Dept. of Computer Science and Engg, Bharathiar University, India; Vivekanandan K., BSMED, Bharathiar University, India; Boopalan E.D., Dept. of Statistics, Bharathiar University, India</text>
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