广东教育学院学报
廣東教育學院學報
엄동교육학원학보
Journal of Guangdong Education Institute
2007年
5期
79~82
,共null页
数据挖掘 朴素贝叶斯分类 分类模型
數據挖掘 樸素貝葉斯分類 分類模型
수거알굴 박소패협사분류 분류모형
data mining; simple bayesian classification; classification model
朴素贝叶斯分类算法应用于毕业生就业预测分析，关键是建立有效的分类模型．文章提出了一种有效分类模型的发现算法，并研究了该算法实施中的零值属性计数、缺失数据问题度解决方法，能有效解决毕业生就业预测的可靠性问题．
樸素貝葉斯分類算法應用于畢業生就業預測分析，關鍵是建立有效的分類模型．文章提齣瞭一種有效分類模型的髮現算法，併研究瞭該算法實施中的零值屬性計數、缺失數據問題度解決方法，能有效解決畢業生就業預測的可靠性問題．
박소패협사분류산법응용우필업생취업예측분석，관건시건립유효적분류모형．문장제출료일충유효분류모형적발현산법，병연구료해산법실시중적령치속성계수、결실수거문제도해결방법，능유효해결필업생취업예측적가고성문제．
Simple Bayesian algorithm classification is applied in employment forecast of graduates. The employment of graduates serves as a guidance for the enrollment of new college students and education management. In this paper a kind of availability algorithm is put forward for classification model, which can effectively resolve the reliability problems of employment forecast. The zero value attributing to counting and missing data problem in algorithm application is also studied.
