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International Journal of Computer Engineering & Technology (IJCET)
Volume 8, Issue 3, May-June 2017, pp. 76–81, Article ID: IJCET_08_03_008
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ISSN Print: 0976-6367 and ISSN Online: 0976–6375
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ASSOCIATION RULE MINING BASED
ANALYSIS ON HOROSCOPE DATA
– A PERSPECTIVE STUDY
Rahul Shajan
Research Scholar, Mahatma Gandhi University, Kottayam, Kerala, India
Gladston Raj S
Head, Department of CS, Govt. College, Nedumangadu,
Thiruvananthapuram, Kerala, India
ABSTRACT
An efficient way of extracting information from huge data repositories is an art.
The extraction of similar patterns from a number of transactions is also an important
feature of data mining. We have a lot data mining techniques to extract information.
Here, we adopt “Apriory algorithm”, which is one of the popular algorithms mainly
used for Association rule mining. The purpose of association rule mining is to find all
sets of items that have minimum support specified by the User. These items are the
elements of a set called frequent item set. The association rules are generated by
using this frequent item set. In astrology, the main database used for prediction is the
horoscope of person. The horoscope is a database contains data like the planetary
position at the time of birth of an individual. In all the incidents related to a human
being, the horoscope of that person will consider to find the chance of happening
good and bad things related to that incident. Similarly in some situations we need to
find a horoscope that similar to our horoscope. The astrology believers select a life
partner who has the similar horoscope (Horoscope matching).In that type of situation,
we can utilize the pattern recognition techniques to find the similar horoscopes. In
this work, we are trying to study the existing association rule mining algorithm
“Apriory” is sufficient or not to find the similar patterns in the horoscope of different
Individuals.
Key word: Association rule mining, Apriory Algorithm, Pattern recognition,
Horoscope.
Cite this Article: Rahul Shajan and Gladston Raj S, Association Rule Mining Based
Analysis on Horoscope Data – A Perspective Study. International Journal of
Computer Engineering & Technology, 8(2), 2017, pp.76–81.
http://www.iaeme.com/ijcet/issues.asp?JType=IJCET&VType=8&IType=3