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1-6 of 6
Keywords: Knowledge mining
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Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2022) 40 (1): 3–17.
Published: 06 December 2019
... be selected to generate 3-D graphs. Figure 4 Distribution of spatial evaluation results in the empirical study Library management Data analysis Data mining Knowledge mining Management development University library Library and information networks 4-D space Quantitative...
Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2019) 37 (4): 906–917.
Published: 28 June 2019
... Learning methods Hypertext markup language Knowledge mining Based on the Web, the virtual community is a medium of communication for real life community. Virtual community is developed from bulletin board system (BBS) and Newsnet. It is an internet community where many people with common...
Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2020) 38 (2): 434–445.
Published: 28 June 2019
... re-use rights only Data analysis Knowledge mining Team atmosphere is the overall perception of the team members’ team attributes, structure, operation, internal relationship and other team attributes, which are generated during the interaction among team members (Zhang et al...
Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2021) 39 (4): 1174–1186.
Published: 03 December 2018
... Knowledge mining Information networks Database management systems With the rapid development of information technologies and the emergence of online service providers, more and more people participate in virtual communities (VCs) that enable knowledge sharing without ever meeting other...
Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2016) 34 (1): 172–179.
Published: 21 March 2016
... be contacted at: seadle@ibi.hu-berlin.de © Emerald Group Publishing Limited 2016 Case studies Reading Data collection Techniques Data mining Knowledge mining Franco Moretti (2013) called one form of text mining “distant reading,” that is, “understanding literature not by studying...
Journal Articles
Journal:
Library Hi Tech
Library Hi Tech (2005) 23 (4): 587–597.
Published: 01 December 2005
... the benefits of the FP‐tree and users' interest to identify common interests among users. A partial back‐propagation training algorithm is presented, and learning is guided by users' click behaviors. Information retrieval Knowledge mining Digital libraries As the result of the boom in the use...
