在數(shù)據(jù)挖掘基礎(chǔ)理論基礎(chǔ)上,以分類挖掘技術(shù)在客戶關(guān)系管理中的應(yīng)用為例,對近年來
在智能信息處理領(lǐng)域迅速發(fā)展的改進ID3 算法進行了數(shù)據(jù)挖掘的嘗試,得到了與實際經(jīng)驗相符的結(jié)果和相應(yīng)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(guān)鍵詞：算法；發(fā)現(xiàn)技術(shù)；數(shù)據(jù)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