22 l Rapid MinerData Mining l Association mining

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具介紹(2/2) l Rapid. Miner中，Data Mining之功能 l 關聯探勘 (Association mining) l 分類 (Classification) l

具介紹(2/2) l Rapid. Miner中，Data Mining之功能 l 關聯探勘 (Association mining) l 分類 (Classification) l 分群 (Clustering) 4

資料介紹 l 資料來源： l 內建資料庫 l Deals l Iris Dataset http: //archive. ics. uci.

資料介紹 l 資料來源： l 內建資料庫 l Deals l Iris Dataset http: //archive. ics. uci. edu/ml/ l Golf l 探勘方式 l 關聯法則-FP-Growth l 分群-K-means l 分類-貝氏分類 5

關聯法則-FP-Growth(4/9) Subprocess中的資料前處理Discretize 11

關聯法則-FP-Growth(4/9) Subprocess中的資料前處理Discretize 11

關聯法則-FP-Growth(5/9) 轉換資料為二項式Nominal to Binomial 12

關聯法則-FP-Growth(5/9) 轉換資料為二項式Nominal to Binomial 12

關聯法則-FP-Growth(6/9) 使用關聯法則FP-Growth，並且設定Support值 13

關聯法則-FP-Growth(6/9) 使用關聯法則FP-Growth，並且設定Support值 13

關聯法則-FP-Growth(7/9) 建立關聯規則Create association rules並且設立 Confidence 14

關聯法則-FP-Growth(7/9) 建立關聯規則Create association rules並且設立 Confidence 14

關聯法則-FP-Growth(9/9) 產生Association rules 16

關聯法則-FP-Growth(9/9) 產生Association rules 16

分群-K-means(2/5) 並且選擇Model中的K-means分群法 19

分群-K-means(2/5) 並且選擇Model中的K-means分群法 19

參考文獻 Rapidminer, http: //rapidminer. com/ Rapid. Miner台灣社群, http: //rapidminertaiwan. blogspot. tw/ 29

參考文獻 Rapidminer, http: //rapidminer. com/ Rapid. Miner台灣社群, http: //rapidminertaiwan. blogspot. tw/ 29

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