Andere Kunden interessierten sich auch für
![Association Rule Mining on Progressive and High Dimensional Data]( "Association Rule Mining on Progressive and High Dimensional Data")
Association Rule Mining on Progressive and High Dimensional Data51,99 €![Association Rule Mining unter Verwendung von Graphen und Clustering-Techniken]( "Association Rule Mining unter Verwendung von Graphen und Clustering-Techniken")
Association Rule Mining unter Verwendung von Graphen und Clustering-Techniken43,90 €![Modified Frequent Pattern Tree for Mining Negative Association Rules]( "Modified Frequent Pattern Tree for Mining Negative Association Rules")
Modified Frequent Pattern Tree for Mining Negative Association Rules39,99 €![Mining Association Rules from Incremental Data set]( "Mining Association Rules from Incremental Data set")
Mining Association Rules from Incremental Data set29,99 €![Development of a Predictive Model for Maternal Mortality in Nigeria]( "Development of a Predictive Model for Maternal Mortality in Nigeria")
Development of a Predictive Model for Maternal Mortality in Nigeria23,99 €![ASSOCIATION RULE MINING CONCEPTS AND APPROACHES]( "ASSOCIATION RULE MINING CONCEPTS AND APPROACHES")
ASSOCIATION RULE MINING CONCEPTS AND APPROACHES39,99 €![Fraud Detection using Data Mining Techniques]( "Fraud Detection using Data Mining Techniques")
Fraud Detection using Data Mining Techniques26,99 €
The use of data mining techniques to improve information system services is an ongoing research area that has gained immense attention. Academic libraries in institutions of higher learning are not left out in the quest to continuously support and provide meaningful services to their growing user base whose dependence on reliable services has increased exponentially. However, the proliferation of e-libraries, social media, commercial information providers and new publishing paradigms which seeks to provide free scholarly materials for reuse, revision, remix and redistribution challenge the academic library's role as a pacesetter. This puts the latter under pressure to evolve and yield better ways of leading scholarship and maintaining patronage from everyone in the academic environment. Thus, this book reviews a set of factors influencing book lending among patrons and also discusses a data mining technique called association rule mining (ARM). It employs the use of Apriori ARM algorithm to build a recommender system which gives the academic libraries a leverage over its rivals as seen in the research findings and user acceptance testing results.