Skip to main content

Bibliomining the Pareto Principle of Public Libraries

  • Conference paper
  • First Online:
  • 501 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1052))

Abstract

The operation management or readers marketing of libraries cannot be only based on the experience and intuition of the library administrators. There must be some practical evidence to provide them as a reference for decision-making. Bibliomining is the use of statistics, bibliometrics, data mining, and other techniques to analyze the data generated by library operations, to explore the information available to library managers, and to assist their decision-making. From the application of the Pareto principle in business management, it is known that analyzing vital customers can help the growth of profit of product by marketing. Also, the main profit analysis helps in effective production management. This can, of course, be used analogously to the relationship of library readers and their circulations. Whenever using library readers borrowing data to discover the 80/20 rule (or Pareto Principle) existed in library circulation, we can further discuss the issues of operation management and reader marketing of the library from three perspectives: vital readers, major collection and both. In this study, we focus on the vital readers and the major collection as research topics. Under the situation of 80/20 in library circulation, we apply data mining techniques to further explore what characteristics of vital readers, useful collections and their impacts on the library.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Nicholson, S.: The basis for bibliomining: frameworks for bringing together usage-based data mining and bibliometrics through data warehousing in digital library services. Inf. Process. Manag. 42(3), 785–804 (2006)

    Article  Google Scholar 

  2. Shieh, J.C.: Bibliomining. Mandarin Library & Information Service, Taipei (2009)

    Google Scholar 

  3. Xiang, Z., Hao, Z.: Personalized requirements oriented data mining and implementation for college libraries. Comput. Modell. New Technol. 18(2B), 293–300 (2014)

    Google Scholar 

  4. Hajek, P., Stejskal, J.: Library usage mining in the context of alternative costs: the case of the municipal library of Prague. Libr. Hi Tech 35(4), 565–583 (2017)

    Article  Google Scholar 

  5. Han, J., Kamber, M., Pei, J.: Data mining: concepts and techniques. Morgan Kaufmann, Waltham (2011)

    MATH  Google Scholar 

  6. Bajpai, J., Metkewar, P.S.: Data quality issues and current approaches to data cleaning process in data warehousing. Glob. Res. Dev. J. Eng. 1(10), 14–18 (2016)

    Google Scholar 

  7. Siguenza-Guzman, L., Saquicela, V., Avila-Ordóñez, E., Vandewalle, J., Cattrysse, D.: Literature review of data mining applications in academic libraries. J. Acad. Libr. 41(4), 499–510 (2015)

    Article  Google Scholar 

  8. Al-Daihani, S.M., Abrahams, A.: A text mining analysis of academic libraries’ tweets. J. Acad. Libr. 42(2), 135–143 (2016)

    Article  Google Scholar 

  9. Wu, F., Hu, Y.H., Wang, P.R.: Developing a novel recommender network-based ranking mechanism for library book acquisition. Electron. Libr. 35(1), 50–68 (2017)

    Article  Google Scholar 

  10. Renaud, J., Britton, S., Wang, D., Ogihara, M.: Mining library and university data to understand library use patterns. Electron. Libr. 33(3), 355–372 (2015)

    Article  Google Scholar 

  11. Goodall, D., Pattern, D.: Academic library non/low use and undergraduate student achievement: a preliminary report of research in progress. Libr. Manag. 32(3), 159–170 (2011)

    Article  Google Scholar 

  12. Yang, Y.T., Shieh, J.C.: Target marketing public libraries’ vital readers: before. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds.) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol. 854. Springer, Cham (2019)

    Google Scholar 

  13. Koch, R.: The 80/20 Principle: The Secret of Achieving More with Less. Currency Doubleday, New York (2011)

    Google Scholar 

  14. Mesbahi, M.R., Rahmani, A.M., Hosseinzadeh, M.: Highly reliable architecture using the 80/20 rule in cloud computing data centers. Fut. Gener. Comput. Syst. 77, 77–86 (2017)

    Article  Google Scholar 

  15. Trueswell, R.L.: Some behavioral patterns of library readers: the 80/20 rule. Wilson Libr. Bull. 43(5), 458–461 (1969)

    Google Scholar 

  16. Nash, J.L.: Richard trueswell’s contribution to collection evaluation and management: a review. Evid. Based Libr. Inf. Pract. 11(3), 118–124 (2016)

    Article  Google Scholar 

  17. Hardesty, L.: Use of library materials at a small liberal arts college. Libr. Res. 3(3), 261–282 (1981)

    Google Scholar 

  18. Singson, M., Hangsing, P.: Implication of 80/20 rule in electronic journal usage of UGC-infonet consortia. J. Acad. Libr. 41(2), 207–219 (2015)

    Article  Google Scholar 

  19. Burrell, Q.L.: The 80/20 rule: library lore or statistical law? J. Doc. 41(1), 24–39 (1985)

    Article  Google Scholar 

  20. Nisonger, T.E.: The “80/20 rule” and core journals. Serials Libr. 55(1–2), 62–84 (2008)

    Article  Google Scholar 

  21. Schneier, B.: Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary edn. Wiley, New York (2015)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiann-Cherng Shieh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, YT., Shieh, JC. (2020). Bibliomining the Pareto Principle of Public Libraries. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-30443-0_12

Download citation

Publish with us

Policies and ethics