Quantitative Analysis of Reference Help Desk Utilization Trend | Zendy

Fangyao Liu | Zendy; Shiu-Ren Chao | Zendy; Xingsen Li | Zendy; Zhiwei Yu | Zendy

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Quantitative Analysis of Reference Help Desk Utilization Trend

Author(s) -

Fangyao Liu,

Shiu-Ren Chao,

Xingsen Li,

Zhiwei Yu

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.282

Subject(s) - computer science , oracle , process (computing) , set (abstract data type) , data mining , resource (disambiguation) , desk , scale (ratio) , software , data set , information retrieval , database , data science , software engineering , artificial intelligence , operating system , computer network , physics , quantum mechanics , programming language

This paper analyzes some useful information for the student worker arrangement of the C.C. & Mabel L. Criss Library at University of Nebraska at Omaha. The information we discover will contribute much to the resource optimization of the library and possible to other libraries. This paper used the Reference Effort Assessment Data (READ Scale) to collect data, used the Oracle database to store and extract the data, and used the EVIEWS software to analyze the data. In particular, this data set is a time series, so we used the stationary process to decide we could use ARMA (p, q) or curve fitting to build the model, studies of this nature can be very cost effective and can generate insights into the mining of the Criss Library's Database

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