EMPLOYMENT CHANCE PREDICTION BASED ON DECISION TREES AND NAIVE BAYES CLASSIFIER USING DATA MINING TECHNIQUES
Journal Title: Elysium Journal of Engineering Research and Management - Year 2015, Vol 2, Issue 4
Abstract
Data Mining is the non-trivial extract information from a data set and transforms it into an understandable structure for further use. Data mining is the search for the relationship and global pattern that exist in large databases but are hidden among vast amount of data. Major strength of Decision trees are construction of decision tree classifiers doesn’t require any account knowledge for exploratory knowledge discovery database, handle high dimensional(Lookup) data simple and fast, used for many applications such as medicine, manufacturing, financial analysis, astronomy etc and basis of several commercial rule induction systems. An another important model used in data mining for Naïve Bayesian classifiers assume that the effect of an column values on given class is self-determining of the values of the other columns. This is class conditional independence called. It’s made to simplify the computations involved and, in this sense, is considered called “Naive”. This paper is cover to help prospective student community to make wise career decisions using these data mining tools. A student enters his/her Entrance Rank, Gender (Male/Female), Area (rural/urban) and Reservation (GEN /MBC/SC/SCA/ST) category. Based on the entered information the model will return which Course of study is Outstanding, Excellent, Distinction, very good, good, average, satisfactory and Re-appear for him/her based on history data analysis using data mining techniques. Also in this paper we compare the performance of decision trees and Naive Bayes classifier on the same training and test data for this problem.
Authors and Affiliations
Jagadhesan B. , Sarvanan P. , Pooranachandran Dr. C.
Keywords
Related Articles
- EP ID EP399955
- DOI -
- Views 102
- Downloads 0
ENERGY ALERT SECURE ROUTING PROTOCOL FOR IMPROVING QOS IN WIRELESS MEDICAL SENSOR NETWORK
The security and privacy protection of the collected data is a major unsolved issue, with challenges coming from stringent resource constraints of MSN devices, and the high demand for both s...
PRIVACY POLICY FOR IMAGES IN SOCIAL NETWORK
Content sharing images within online content sharing sites, may quickly lead to unwanted disclosure and privacy violations. Further, the persistent nature of online media makes it possible for other users to...
WEAK INDIAN RUPEE – ISSUES AND CHALLENGES
Investors usually won’t spend much time on studying the currency movement. Many skipped the news of the Indian rupee hitting as low of against the dollar, even though it would hurt the econ...
DESIGN AND IMPLEMENTATION OF 32 BIT ALU USING LOOK AHEAD CLOCK GATING BASED ON FPGA
Any type of digital architecture is modified by using the VLSI technology. In digital systems, clock gating is the best method to reduce consumption of power. As power consumption plays an important role i...
AN EFFICIENT ACTIVITY TRACKING AND RECOGNITION USING THE NEURAL NETWORK CLASSIFIER
A continuous video contains two important components such as tracks of the person in the video, and localization of the actions that are performed by the actors. The analysis of the activity is used for so...