Sequential Pattern Mining on Library Transaction Data

Abstract

Applicafion of data mining ttchnlqucs in library data res ults interesting and usdul patterns ll11t can bt used to improvt services In university li braries. This paper presents ru ults of the work in appl)ing the stqucntial p:atlern mining algorithm namd)' Aprlorl-\11 on a llbr1r) transaction dataset. Frtquent sequential patterns containing book sequences borro"td b) students arc generated for minimum supports O.J. 0.2, O.IS and 0.1. T hese patll'rns can help library in pro,•iding book recommendati on to students, conducting book procurement bHtd on rtadcrs need, u \\tll u m1tDAging bool;.s Ii) out.