在數(shù)據挖掘基礎理論基礎上,以分類挖掘技術在客戶關系管理中的應用為例,對近年來
在智能信息處理領域迅速發(fā)展的改進ID3 算法進行了數(shù)據挖掘的嘗試,得到了與實際經驗相符的結果和相應的“規(guī)則”,驗證了其可行性和可供決策支持的現(xiàn)實意義。
關鍵詞：算法；發(fā)現(xiàn)技術；數(shù)據挖掘；決策樹
Abstract: Base on Theories of Data Mining, in order to classification of mining technology in the customer relationship management application as an example, Carried on the trial that data scoop out in recent years in the field of access to? the rapid development of ID3 data mining and its improved methods of data mining attempts have been in line with the actual experience of the results and the corresponding “rules”to verify its feasibility and decision support for practical significance.
Key words: Algorithm；Discovery Technolog； Data Minin；Decision Tree