資料採礦（Data Mining）技術自80年代問世至今，其應用已經無所不在。資料採礦利用統計原理與演算法等相關軟體技術，可從大量資料中挖掘出隱藏在背後的因果關係和有意義的規則，幫助企業決策者做出有力決策並創造最大利益。基於此，本研究試圖從國小中年級學生的原始學籍成績資料，經過預處理（Pre-Processing）、轉化成可用的數據，再利用關聯法則（Association Rule）挖掘法找出隱藏在成績背後的關聯性。最後，將研究結果與建議，提供學校做為日後補救教學與課程規劃的參考。 Data Mining technology since the 80's come out so far, its application has been everywhere. Use of statistical theory and algorithms, Data Mining can identify causal relationships and meaningful rules hidden in large amounts of data behind, to help decision makers to make effective decisions and create the best interest. Based on this, this study attempted to use elementary students in the original score, after Pre-Processing, into usable data, and then use the Association Rule mining method to find hidden behind the relevance of results.Finally, the study findings and recommendations to the school as remedial teaching and curriculum planning future reference.
