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44 : 1 (Fall 2006) : 35-60 35 E-mail: jcshieh@ntnu.edu.tw E-mail: zaire@ms49.hinet.

1 44 : 1 (Fall 2006) : jcshieh@ntnu.edu.tw zaire@ms49.hinet.net bibliomining library automation system library integrated system 2006/10/11 ; 2006/11/18 ; 2006/12/05

2 36 44 : 1 (Fall 2006) Nicholson 2003 bibliomining-data mining for libraries data mining bibliometric data warehousing Han & Kamber, ㈠ data cleaning and integration

3 37 data pre-processing ㈡ data selection and transformation ㈢ data mining / ㈣ evaluation and presentation 1

4 38 44 : 1 (Fall 2006) customer relationship management 2004 Jiao & Zhang, 2004 Chiang, Wang, Lee & Lin, ㈠ Nicholson 2003 data mining in library Schulman 1998 Guenther 2000 Nicholson 2003 Papatheodorou 2003

5 39 1. Larsen 1996 Mancini 1996 Atkins 1996 Peters Banerjee 1998 Peters 1996

6 40 44 : 1 (Fall 2006) 3. Lawrence 1999 Ronald 2001 citation ㈡ Nicholson determining areas of focus patterns 2. identifying internal and external data sources 3. collecting, cleaning and anonymzing the data into a data warehouse SQL 4. selecting appropriate analysis tools on-line analytical processing 5. discovery of patterns through data mining

7 41 description prediction 6. analyzing and implementing the results ㈢

8 42 44 : 1 (Fall 2006) 2001 large item sets interesting rules H-Mine H-Mine Kao, Hang & Lin 2003 Wu 2003 data mining based model DMBA ~ Neumann 2003 amazon.com 3.

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13 47 ㈣ 1. SPSS Clementine 8.1 KDnuggets SPSS Clementine Clementine 8.1 flat file ODBC association analysis sequence pattern analysis regression analysis cluster analysis decision tree analysis neural network analysis data reduction analysis 2. TOTALS Technology Opulent TRANSTECH Automated Library System 2 T2 T2 Unix NT T2 WebPAC 3. Intel Pentium 4 1.6MHz CPU 512MB 120GB Microsoft Windows NT 4.0 Microsoft SQL Server 7.0 ㈤ 1. 2.

14 48 44 : 1 (Fall 2006) 3. 80% snowflake schema 3

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22 56 44 : 1 (Fall 2006) ㈠㈡ ETL Extraction Transfer Loading

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24 58 44 : 1 (Fall 2006) Atkins, S. (1996). Mining automated systems for collection management. Library Administration & Management, 10(1), Banerjee, K. (1998). Is data mining right for your library? Computers in Libraries, 18(10), Chiang, D. A., Wang, Y. F., Lee, S. L., & Lin, C. J. (2003). Goal-oriented sequential pattern for network banking churn analysis. Expert Systems with Applications, 25(3), Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery: An overview. In Advances in Knowledge Discovery and Data Mining (pp ). Massachusetts: Mit Press. Guenther, K. (2000). Applying data mining principles to library data collection. Computers in Libraries, 20(4), Han, J., & Kamber, M. (2006). Data Mining: Concepts and Techniques Reviews. (2nd ed.). San Francisco: Morgan Kaufmann. He, J., Liu, X. T., Shi, Y., Xu, W. X., & Yan, N. (2004). Classifications of credit cardholder behavior by using fuzzy linear programming. International Journal of Information Technology & Decision Making, 3(4), Jiao, J. X., & Zhang, Y. Y. (2005). Product portfolio identification based on association rule mining. Computer-Aided Design, 37(2), Kao, S.C., Hang, H.C., & Lin, C.H. (2003). Decision support for the academic library acquisition budget allocation via circulation database mining. Information Processing and Management: An International Journal, 39(1), Larsen, P. (1996). Mining your automated system for better management. Library Administration & Management, 10(1), 10. Lawrence, S., Giles, C. L., & Bollacker, K. (1999). Digital libraries and autonomous citation indexing. IEEE Computer, 32(6), Mancini, D. D. (1996). Mining your automated system for system wide decision making. Library Administration & Management, 10(1), Neumann, A., Geyer-Schulz, A., Hahsler, M., & Thede, A. (2003). An architecture for behavior based library recommender systems. Information Technology and Libraries, 22(4), Nicholson, Scott. (2003). The bibliomining process: Data warehousing and data mining for library decision-making. Information Technology and Libraries, 22(4), Papatheodorou, C., Kapidakis, S., Sfakakis, M., & Vassiliou, A. (2003). Mining user

25 59 communities in digital libraries. Information Technology and Libraries, 22(4), Peters, T. (1996). Using transaction log analysis for library management information. Library Administration & Management, 10(1), Ronald, N. K., J. Antonio del Rio, James, Esther, A. H., Garcia, O., & Ana, M.R. (2001). Citation mining: Integration text mining and bibliometrics for research user profiling. Journal of the Society for Information Science and Technology, 52(13), Schulman, S. (1998). Data mining: Life after report generators-libraries use this decisionsupport technique to chart a future course. Information Today, 15(3), 52. Wu. C. H. (2003). Data mining applied to material acquisition budget allocation for libraries: Design and development. Expert Systems with Applications, 25(3),

26 Journal of Educational Media & Library Sciences 44 : 1 (Fall 2006) : Bibliomining User Behaviors in the Library Jiann-Cherng Shieh Associate Professor Graduate Institute of Library & Information Studies National Taiwan Normal University Taipei, R.O.C jcshieh@ntnu.edu.tw Yung-Shun Lin Abstract The Affiliated Senior High School of NTNU Taipei, R.O.C zaire@ms49.hinet.net The information discovered through data analysis and data mining can be great helpful for decision makings in organizations. For servicing users complacence, libraries should actively explore the user needs and then provide them with required information. It is the critical task for libraries in this age. Bibliomining, data mining applied to library operations, can really assist in gasping patrons requirements. Based on circulation data, the previous works have provided many suggestions about library management. In this research, we try to comprehend more data, not only circulation data but also various patrons-related data, to bibliomining their behavior in libraries. The results can be used as crucial and clinical information to aid libraries in collection policy making, material recommendation, budget allocation and other library management related issues. Keywords: Bibliomining; Data mining; User behavior

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untitled 了 Are We Ready for Bibliomining? 立 Jiann-Cherng Shieh Graduate Institute of Library and Information Studies, National Taiwan Normal University jcshieh@ntnu.edu.tw 年料料領料露理參料量料理量料例行理 Abstract