Application research of association analysis with Clementine

After introduce briefly about the basic concept and methods of association rules in data mining, we take borrowing records in library as example to describe the whole process of how to find association with the application of Apriori algorithm in Clementine. The mining outcome shows that some books and books have stronger association strength. According to the association between books, we can do book recommendation. That is to say, when reader borrows a book, the library can recommend the book which has strong association strength with it to the reader; we can rearrange the distribution of books in library by putting books with strong association strength close to each other to save time for readers in choosing books.