A Cognizance Discovery of Indian Railway through Modern Lucrative using Pattern Recognition and Classification

T. Ramdas Naik; O. Subhash Chander Goud; K. Arun Raj Bapuji

The present work is going to concentrate on data Railway Transaction Data for the estimation of the passengers and their contribution in earning the profits by the department. The systems already present give us the inflow and outflow of the passengers and the regular activities which decides the profitability of these peculiar departments. The first three parts of the paper is going to discuss the Data Transformation of the raw data into sets which categorizes data into some sort of Domains. These Domains are being classified according to scenario which comes with number of queries processing with MySql Database. In this work we are going to describe the models like Classification, choosing Classification best Attributes, etc., applied on the data set. The second three parts of the paper is used for the Pattern Discovery we try to use the Data Classification Technique called as Hierarchical Classification which gives the convergence point to observe in Data. In the Pre-processing area we try to use Matrix Row by Row Based Transformation which gives us the best mechanism to make the Data Persist. The resultant is the factor based analysis which will lead us to a Pattern to observe called as Pre and Post-Periodic Classification of Data. The rest of the work will be described in the later sections.

Select Volume / Issues:

• Volume 5,Issue 4, July 2014

Year:

2014

Type of Publication:

Article

Keywords:

Domain; Inflow; Outflow; Periodic; Hierarchical; Classification; Matrix; Scenario

Journal:

IJECCE

Volume:

5

Number:

4

Pages:

782-786

Month:

July