Astrological prediction for profession using classification techniques of artificial intelligence

Abstract

Astrology has started around 4000 years back and has significantly developed over a period of time. Till date no unified rules or standards for astrological prediction exist in the world. Astrologers concentrate on providing quality services to persons rather than defining universal rules and standards for astrological prediction. Advances in artificial intelligence resulted in large number of applications for analysis and prediction. In these applications computer learn from unknown, large, noisy or complex data sets and perform prediction and classification of data. In this paper we are trying to find universal rules and validity of astrology using various scientific methods. In this paper we are going to predict profession of person using ZeroR, Simple Cart and Decision Table classification algorithm. The data set for learning classification consisted of 24 records of Singer, 24 records of Player and 10 records of Scientist. Weka tool[1] available under General public license is use to perform analysis and prediction task.