重庆理工大学学报：自然科学
重慶理工大學學報：自然科學
중경리공대학학보：자연과학
Journal of Chongqing Institute of Technology
2012年
11期
83-87
,共5页
聚类挖掘%Clementine%K-means模型
聚類挖掘%Clementine%K-means模型
취류알굴%Clementine%K-means모형
clustering mining%Clementine%K-means model
介绍了聚类挖掘的基本理论。对武夷学院图书馆提供的流通数据进行了聚类分析,主要采集读者借阅册数和图书流通量2类数据,在Clementine中使用K-means模型从读者的借阅册数角度进行分类,将读者划分成＂活跃读者＂＂消极读者＂及＂一般读者＂3类。根据图书流通量进行分类,将图书分成＂热门书＂＂冷门书＂及＂一般书＂3类。根据聚类挖掘的结果,为不同类的读者提供不同的服务,针对不同类的图书采取相应的措施。
介紹瞭聚類挖掘的基本理論。對武夷學院圖書館提供的流通數據進行瞭聚類分析,主要採集讀者藉閱冊數和圖書流通量2類數據,在Clementine中使用K-means模型從讀者的藉閱冊數角度進行分類,將讀者劃分成＂活躍讀者＂＂消極讀者＂及＂一般讀者＂3類。根據圖書流通量進行分類,將圖書分成＂熱門書＂＂冷門書＂及＂一般書＂3類。根據聚類挖掘的結果,為不同類的讀者提供不同的服務,針對不同類的圖書採取相應的措施。
개소료취류알굴적기본이론。대무이학원도서관제공적류통수거진행료취류분석,주요채집독자차열책수화도서류통량2류수거,재Clementine중사용K-means모형종독자적차열책수각도진행분류,장독자화분성＂활약독자＂＂소겁독자＂급＂일반독자＂3류。근거도서류통량진행분류,장도서분성＂열문서＂＂랭문서＂급＂일반서＂3류。근거취류알굴적결과,위불동류적독자제공불동적복무,침대불동류적도서채취상응적조시。
This paper made clear the basic theory of clustering mining.Wuyi institute library provided circulation data processing: the main collection book borrowing amount of data and book circulation data these two kinds.K-means model was used in Clementine to classify the readers from the perspective of lending copies.Readers could be divided into "active readers","negative readers" and "general readers" three kinds.According to the book circulation classification,the books were divided into "hot books","unpopular books" and "general books" three categories.According to the results of cluster mining,different services could be provided for different kinds of readers,and corresponding measures could be taken to different books.
