Search Results

1 - 10 of 21 items :

  • Business Informatics x
  • Library and Information Science, Book Studies x
Clear All
Investigating Weak Supervision in Deep Ranking

International Conference on Machine learning (ICML-05) 89-96. doi:10.1145/1102351.1102363 Burges C. Shaked T. Renshaw E. Lazier A. Deeds M. Hamilton N. & Hullender G. N. 2005 Learning to rank using gradient descent Proceedings of the 22nd International Conference on Machine learning (ICML-05) 89 96 10.1145/1102351.1102363 Chapelle, O., & Zhang, Y. (2009). A dynamic bayesian network click model for web search ranking. Proceedings of the 18th International Conference on World Wide Web 1-10. doi:10.1145/1526709.1526711 Chapelle

Open access
Understanding and Evaluating Research and Scholarly Publishing in the Social Sciences and Humanities (SSH)

R. 2018 The Flemish performance-based research funding system: A unique variant of the Norwegian model Journal of Data and Information Science 3 4 45 60 Engels, T. C., Starcic, A. I., Kulczycki, E., Pölönen, J., & Sivertsen, G. (2018). Are book publications disappearing from scholarly communication in the social sciences and humanities? Aslib Journal of Information Management,70 (6), 592–607. 10.1108/AJIM-05-2018-0127 Engels T. C. Starcic A. I. Kulczycki E. Pölönen J. Sivertsen G. 2018 Are book publications disappearing

Open access
An Influence Prediction Model for Microblog Entries on Public Health Emergencies

, and other environmental concerns. Natural Hazards 83(1), 729-760. 10.1007/s11069-016-2327-8 Finch K. C. Snook K. R. Duke C. H. Fu K. W. Tse Z. T. H. Adhikari A. & Fung I. C. H. 2016 Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns Natural Hazards 83 1 729 – 760 Fu, Y., & Chen, Y. (2014). Relationship analysis of microblogging user with link prediction. Computer Science 41(2), 201-205. Fu Y. & Chen Y. 2014 Relationship analysis

Open access
Providing Research Data Management (RDM) Services in Libraries: Preparedness, Roles, Challenges, and Training for RDM Practice

. L., Bakker, T. A., Svirsky, M. A., Neuman, A. C., & Rambo, N. (2013). Informationist role: clinical data management in auditory research. Journal of eScience Librarianship 2(1), 25-29. 10.7191/jeslib.2013.1030 Hanson K. L. Bakker T. A. Svirsky M. A. Neuman A. C. & Rambo N. 2013 Informationist role: clinical data management in auditory research Journal of eScience Librarianship 2 1 25 29 Hasman, L., Berryman, D., & Mcintosh, S. (2013). NLM Informationist Grant – web assisted tobacco intervention for community college students

Open access
A Three-way Interaction Model of Information Withholding: Investigating the Role of Information Sensitivity, Prevention Focus, and Interdependent Self-Construal

variables; (b) information sensitivity, prevention focus, and interdependent self-construal; (c) the two-way interaction; (d) the three-way interaction. Information withholding was regarded as the dependent variable. The results of the regression analyses are indicated in Table 5 . In Model 1, not all of the control variables significantly predicted information withholding. In Model 2, information sensitivity (β=0.116, p<0.05) and prevention focus (β=.306, p<.01) were significant, accounting for an additional 13.3% of the variance (ΔF=24.699, p<0.01) in information

Open access
The Contingency Effect of Relational Competency on the Relationship between Information Technology Competency and Firm Performance

relationship between IT operations and firm performance, was supported (β = 0.210, p < 0.01; Model 3). H4c was also supported: IOC positively moderates the relationship between IT knowledge and firm performance (β = 0.144, p < 0.05; Model 3). However, the moderating effect of IOC on the relationship between IT objects and firm performance was negative but not significant (β = -0.128, p > 0.05) and thus did not support H4a. In addition, except for the relationship between the ownership of state and the firm, performance was negatively significant (β = -0.178, p < 0.05; Model

Open access
Citation performance of publications grouped by keywords, titles, and abstracts

subjects. The fourth principle of Leiden Manifesto states that a research evaluation method should be transparent. The fifth principle suggests that a research evaluation method should be confirmed by the evaluated researcher. Due to its simplicity, the methods that we proposed in this article satisfied both of these principles. References Abramo, G., D’Angelo, C. A., & Di Costa, F. (2016). The effect of a country’s name in the title of a publication on its visibility and citability. Scientometrics , 109 (3), 1895–1905.

Open access
Document- and Keyword-based Author Co-citation Analysis

behavior and interactive information retrieval can never be underemphasized ( Belkin, 1978 ). Table 2 The 20 most cited authors in our dataset. Rank Author name Rank Author name 1 L. Leydesdorff 11 C. Kuhlthau 2 L. Bornmann 12 B. Hjørland 3 C. Vining 13 H. Small 4 L. Egghe 14 A. Spink 5 R. Garfield 15 T. Saracevic 6 M. Thelwall 16 P. Vakkari 7 W. Glänzel 17 V. Savolainen 8 L. Waltman 18 N. Belkin 9 H. Moed 19 J. Hirsch 10 B. J

Open access
To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon Retrieval

). The effectiveness of a nonsyntactic approach to automatic phrase indexing for document retrieval. Journal of the American Society for Information Science , 40(2), 115-132.;2-B 10.1002/(SICI)1097-4571(198903)40:2<115::AID-ASI6>3.0.CO;2-B Fagan J. L. 1989 The effectiveness of a nonsyntactic approach to automatic phrase indexing for document retrieval Journal of the American Society for Information Science 40 2 115 132

Open access
Enhancing Clinical Decision Support Systems with Public Knowledge Bases

in medicine: Current issue and future trend, Expert Systems with Applications 41(9), 4434-4463. 10.1016/j.eswa.2014.01.011 Esfandiari N. 2014 Knowledge discovery in medicine: Current issue and future trend Expert Systems with Applications 41 9 4434 4463 [12] Yeh, D-Y, Cheng, C-H. & Chen, Y.W. (2011). A predictive model for cerebrovascular disease using data mining, Expert Systems with Applications 38(7), 8970-8977. 10.1016/j.eswa.2011.01.114 Yeh D-Y Cheng C-H. Chen Y.W. 2011 A predictive model for cerebrovascular disease using data

Open access