
Horoscope Analysis and Astrological Prediction using Biased Logistic Regression (BLR)
Author(s) -
Rahul Shajan*,
Dr.Gladston Raj
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2964.1081219
Subject(s) - astrology , popularity , digitization , computer science , data science , history , psychology , classics , social psychology , computer vision
Majority of people have connected their day to day life with Astrology. Normally the astrological factors would be checked for the prediction of birth details, house warming, marriages etc. The perception of astrology may vary for people. Due to the innumerable instance that provides the influence of astrology in our day to day life, some consider it as divine guidance or a vital source of information that has much to offer apart from solutions to problems in life. People are considering astrology as the traditional science of India. All the popular television channels and newspapers include the astrology programs in their schedules. That is only because of the wide popularity and acceptability of astrology in the minds of common man. Still, modern science is not considering astrology as a proven science. All the astrological calculations and predictions are still performed in the traditional way. Modern scientific methods or inventions are not at all used by the astrologers. In this paper, there is an attempt to connect traditional science with the modern science. Nowadays data mining is a most popular research area. Application of data mining in astrology is a new concept and that type researches are not popular now. If it is possible to prove that the data mining techniques are effective for astrological prediction then it will help to increase the acceptance of astrology in the area of modern science. Thus, there is an effort to increase the credibility of traditional science astrology by connecting it with modern science through the possibilities of Data mining