信息安全与技术
信息安全與技術
신식안전여기술
INFORMATION SECURITY AND TECHNOLOGY
2012年
3期
56-58
,共3页
数据挖掘%高校图书馆%聚类分析%决策树
數據挖掘%高校圖書館%聚類分析%決策樹
수거알굴%고교도서관%취류분석%결책수
data mining%college library%lustering%decision tree
通过对高校图书馆提供的借阅数据进行筛选、净化、转换等数据处理，研究了聚类支持下决策树分类技术及其在图书馆借阅数据中的应用。利用聚类得到决策树的训练样本，以期得到高质量的决策树并进一步提高推荐的准确率。以某高校图书馆借阅数据为例，将以上研究结果应用于该校图书馆借阅数据分析，分析的结果提供给图书馆管理者，作为馆藏政策、图书推荐、图书馆管理的参考依据。
通過對高校圖書館提供的藉閱數據進行篩選、淨化、轉換等數據處理，研究瞭聚類支持下決策樹分類技術及其在圖書館藉閱數據中的應用。利用聚類得到決策樹的訓練樣本，以期得到高質量的決策樹併進一步提高推薦的準確率。以某高校圖書館藉閱數據為例，將以上研究結果應用于該校圖書館藉閱數據分析，分析的結果提供給圖書館管理者，作為館藏政策、圖書推薦、圖書館管理的參攷依據。
통과대고교도서관제공적차열수거진행사선、정화、전환등수거처리，연구료취류지지하결책수분류기술급기재도서관차열수거중적응용。이용취류득도결책수적훈련양본，이기득도고질량적결책수병진일보제고추천적준학솔。이모고교도서관차열수거위례，장이상연구결과응용우해교도서관차열수거분석，분석적결과제공급도서관관리자，작위관장정책、도서추천、도서관관리적삼고의거。
Through the choice, purification and transfer of lending data provided by the library, probes into the features of library lending data by using data-mining technique, and then puts the research result into the use of library information system. The paper explores Decision Tree technique supported by clustering and its application in library, uses clustering analysis to obtain the training samples of Decision Tree, and then to obtain high-quality DecisionTree and further improve the preciseness of books＇ recommendation. Taking an University Library as an example ,the paper applies the above research results to analyze lending data. The result of the analysis offers a basis to collection-policy-making, books recommendation and library management for library managers.
