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Volume & Issue no: Volume 4, Issue 3, March 2015


Study of Road Accident Patterns in Uttarakhand using K-Means Algorithm
Author Name:
Y.P. Raiwani, Pragya Baluni
ABSTRACT With the help of large storage capacities of current computer systems, datasets of companies has expanded dramatically in recent years. Rapid growth of Companies databases has raised the need of faster data mining algorithms, as time is very critica lissue. Present study emphasizes the implementation and efficiency of K-means clustering algorithm and also explains how it can be used to mine the data. Data mining is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. It enables data analysis and data visualization of big databases at a higher level of abstraction. This paper presents a data mining approach to explore patterns of vehicular collision as well as the implementation of K-means algorithm. With the use of data mining technique we will analyze and observe the large database having different records of road crashes in Uttarakhand state. Keywords- Road Accident, Data Mining, K-means Algorithm
Cite this article:
Y.P. Raiwani, Pragya Baluni , " Study of Road Accident Patterns in Uttarakhand using K-Means Algorithm " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 4, Issue 3, March 2015 , pp. 250-254 , ISSN 2319 - 4847.
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