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Title page for etd-0215108-115723


URN etd-0215108-115723 Statistics This thesis had been viewed 6359 times. Download 9518 times.
Author Mei-lun Jao
Author's Email Address tobe22.tw@yahoo.com.tw
Department Computer Science and Enginerring
Year 2007 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 67
Title Using Association Rules to Predict and Analyze Taiwan’s Lotto Patterns
Keyword
  • Data Mining
  • Lottery
  • Lotto
  • Association Rules
  • Association Rules
  • Lotto
  • Lottery
  • Data Mining
  • Abstract What is the probability of winning a lottery game and becoming a millionaire over just one night? In 2002, Taiwan Lottery Co. started issuing lottery tickets. And since then, lottery fever has gripped the nation. Many residents in Taiwan may go extremes to find "magic numbers" at temples, but is the "magic numbers" really exist? From the scientific point of view, lottery game is a game of probabilities of randomly drawing six numbers from the set {1, 2, ..., 49}. And by any chance if anyone picks the same numbers as the lottery company does, then he or she becomes a millionaire over one night.
       However, are those lottery numbers really drawn randomly? Or are there any hidden profound and abstruse principles that could be followed in order to get the "magic numbers" beforehand? In this thesis, we will use popular technology of Data Mining of Association Rules to predict and analyze Taiwan's Lotto patterns.
       In this study, experiment were into three parts, the first part is the actual lottery numbers, the second part as virtual lottery numbers, and the third part will merge the actual lottery numbers and virtual lottery numbers to analyze. The experimental results can identify a group of at least three of the numbers is a draw numbers, then exploration results for the lottery numbers to predict, forecasting results also show that in the next lottery numbers, can be predicted at least two or three numbers in the same draw numbers.
    Advisor Committee
  • Yo-ping Huang - advisor
  • Wei Yen - co-chair
  • Files indicate access worldwide
    Date of Defense 2008-01-19 Date of Submission 2008-02-15


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