图书情报知识
圖書情報知識
도서정보지식
Documentation,Information & Knowledge
2011年
4期
92~96
,共null页
序列模式 读者借阅行为 PrefixSpan算法 数据挖掘
序列模式 讀者藉閱行為 PrefixSpan算法 數據挖掘
서렬모식 독자차열행위 PrefixSpan산법 수거알굴
Sequential patterns Readers borrow behavior PrefixSpan algorithm Data mining
针对图书馆读者借阅事务中存在的序列特征,提出一种基于序列模式挖掘的读者借阅行为分析方法,其思想是通过将借阅事务转化为序列数据库,基于PrefixSpan算法来识别读者借阅行为序列模式。以某高校图书馆读者借阅事务数据为例,通过序列模式挖掘实验表明,此方法可有效获取读者借阅行为的时序规律,其结果在图书馆信息服务中具有一定的应用价值。
針對圖書館讀者藉閱事務中存在的序列特徵,提齣一種基于序列模式挖掘的讀者藉閱行為分析方法,其思想是通過將藉閱事務轉化為序列數據庫,基于PrefixSpan算法來識彆讀者藉閱行為序列模式。以某高校圖書館讀者藉閱事務數據為例,通過序列模式挖掘實驗錶明,此方法可有效穫取讀者藉閱行為的時序規律,其結果在圖書館信息服務中具有一定的應用價值。
침대도서관독자차열사무중존재적서렬특정,제출일충기우서렬모식알굴적독자차열행위분석방법,기사상시통과장차열사무전화위서렬수거고,기우PrefixSpan산법래식별독자차열행위서렬모식。이모고교도서관독자차열사무수거위례,통과서렬모식알굴실험표명,차방법가유효획취독자차열행위적시서규률,기결과재도서관신식복무중구유일정적응용개치。
According to the sequence characteristics of borrowing hehavior of library readers,this paper proposes an analysis method of borrowing behavior based on sequential pattern mining.With this method,the borrowing behavior patterns of the readers are identified by PrefixSpan algorithm from sequence database transformed by borrowing services.Taking the borrowing transaction data of a university library reader as an example,a sequential pattern mining experiment is performed.The result shows that the timing rules of borrowing behavior can be obtained effectively with this method,which has some applying values in the information service of libraries.
