The stock price associations between the suppliers and manufacturers in the value chain of the TFT-LCD industry by means of data mining method used to improve the Apriori algorithm so that it can facilitate association mining of discrete data points in time series, is discussed. In the first phase, data are classified and preprocessed using the algorithm, then Apriori algorithm is applied to extract the strong association rules. By mining the association rules from the discrete data points in a time series, statistically significant outcomes can be obtained. Results reveal helpful information for the investors to make leveraged arbitrage profit investing decisions.
|頁（從 - 到）||117-126|
|期刊||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|
|出版狀態||Published - 1 12月 2004|
|事件||4th Industrial Conference on Data Mining, ICDM 2004 - Advances in Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications - Leipzig, Germany|
持續時間: 4 7月 2004 → 7 7月 2004