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Computation of Topological Indices of Dutch Windmill Graph
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作者 M. r. rajesh Kanna r. pradeep kumar r. Jagadeesh 《Open Journal of Discrete Mathematics》 2016年第2期74-81,共8页
In this paper, we compute Atom-bond connectivity index, Fourth atom-bond connectivity index, Sum connectivity index, Randic connectivity index, Geometric-arithmetic connectivity index and Fifth geometric-arithmetic co... In this paper, we compute Atom-bond connectivity index, Fourth atom-bond connectivity index, Sum connectivity index, Randic connectivity index, Geometric-arithmetic connectivity index and Fifth geometric-arithmetic connectivity index of Dutch windmill graph. 展开更多
关键词 ABC Index ABC4 Index Sum Connectivity Index Randic Connectivity Index GA Index GA5 Index
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Omega and Cluj-Ilmenau Indices of Hydrocarbon Molecules “Polycyclic Aromatic Hydrocarbons PAHk”
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作者 M. r. rajesh Kanna r. pradeep kumar +1 位作者 Muhammad Kamran Jamil Mohammad reza Farahani 《Computational Chemistry》 2016年第4期91-96,共6页
A topological index is a numerical value associated with chemical constitution for correlation of chemical structure with various physical properties, chemical reactivity or biological activity. In this paper, we comp... A topological index is a numerical value associated with chemical constitution for correlation of chemical structure with various physical properties, chemical reactivity or biological activity. In this paper, we computed the Omega and Cluj-Ilumenau indices of a very famous hydrocarbon named as Polycyclic Aromatic Hydrocarbons PAH<sub>k</sub> for all integer number k. 展开更多
关键词 Molecular Graph Hydrocarbons Topological Indices
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Knowledge Discovery in Learning Management System Using Piecewise Linear Regression
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作者 S. Mythili r. pradeep kumar P. Nagabhushan 《Circuits and Systems》 2016年第11期3862-3873,共13页
Recent developments in database technology have seen a wide variety of data being stored in huge collections. The wide variety makes the analysis tasks of a generic database a strenuous task in knowledge discovery. On... Recent developments in database technology have seen a wide variety of data being stored in huge collections. The wide variety makes the analysis tasks of a generic database a strenuous task in knowledge discovery. One approach is to summarize large datasets in such a way that the resulting summary dataset is of manageable size. Histogram has received significant attention as summarization/representative object for large database. But, it suffers from computational and space complexity. In this paper, we propose an idea to transform the histogram object into a Piecewise Linear Regression (PLR) line object and suggest that PLR objects can be less computational and storage intensive while compared to those of histograms. On the other hand to carry out a cluster analysis, we propose a distance measure for computing the distance between the PLR lines. Case study is presented based on the real data of online education system LMS. This demonstrates that PLR is a powerful knowledge representative for very large database. 展开更多
关键词 HISTOGRAM Piecewise Linear Regression Knowledge Discovery Big Data Cluster Analysis
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Schultz Polynomials and Their Topological Indices of Jahangir Graphs J2,m
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作者 Shaohui Wang Mohammad reza Farahani +1 位作者 M. r. rajesh Kanna r. pradeep kumar 《Applied Mathematics》 2016年第14期1632-1637,共6页
Let G = (V;E) be a simple connected graph. The Wiener index is the sum of distances between all pairs of vertices of a connected graph. The Schultz topological index is equal to and the Modified Schultz topological in... Let G = (V;E) be a simple connected graph. The Wiener index is the sum of distances between all pairs of vertices of a connected graph. The Schultz topological index is equal to and the Modified Schultz topological index is . In this paper, the Schultz, Modified Schultz polynomials and their topological indices of Jahangir graphs J<sub>2,m</sub> for all integer number m ≥ 3 are calculated. 展开更多
关键词 Molecular Topological Index Schultz Index Schultz Polynomials Jahangir Graphs J2 m
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