scholarly journals Goal-driven similarity assessment

2005 ◽  
pp. 283-298 ◽  
Author(s):  
Dietmar Janetzko ◽  
Stefan Wess ◽  
Erica Melis
Keyword(s):  
Similarity Assessment

scholarly journals Analytical Similarity Assessment of ABP 959 in Comparison with Eculizumab Reference Product

BioDrugs ◽  
2021 ◽  
Author(s):  
Katariina M. Hutterer ◽  
Anna Ip ◽  
Scott Kuhns ◽  
Shawn Cao ◽  
Mats Wikström ◽  
...  
Keyword(s):  
Reference Product ◽  
Similarity Assessment

An antiphishing strategy based on visual similarity assessment

2006 ◽  
Vol 10 (2) ◽  
pp. 58-65 ◽  
Author(s):  
Wenyin Liu ◽  
Xiaotie Deng ◽  
Guanglin Huang ◽  
A.Y. Fu
Keyword(s):  
Visual Similarity ◽  
Similarity Assessment

Similarity assessment in a case‐based reasoning framework for building envelope design

2001 ◽  
Vol 14 (5/6) ◽  
pp. 376-386
Author(s):  
Serban Iliescu ◽  
Paul Fazio ◽  
Krishnan Gowri
Keyword(s):  
Building Envelope ◽  
Case Based Reasoning ◽  
Similarity Assessment ◽  
Case Based

scholarly journals SIMILARITY ASSESSMENT OF COUNTRIES TO FACILITATE LEARNING FROM INTERNATIONAL CONSTRUCTION PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Beste Ozyurt ◽  
Gozde Bilgin ◽  
Irem Dikmen ◽  
M. Talat Birgonul
Keyword(s):  
Construction Projects ◽  
Online Questionnaire ◽  
Political Condition ◽  
Similarity Assessment ◽  
International Construction ◽  
Related Information ◽  
Financial Condition ◽  
Governance Systems ◽  
Construction Experience ◽  
The Right

Companies’ ability to learn from projects is a source of competitive advantage in project-based industries. Learning from experiences in international markets is particularly important for global contractors so that the right bidding strategy can be developed, effective project governance systems can be established, and similar mistakes are not repeated. In this study, we assert that countries can be clustered according to their similarity so that experiences gained in these markets can be transferred and adapted to forthcoming projects. Thus, similarity factors to be used for clustering of countries can be identified, and a methodology can be developed to store, retrieve and reuse country-related information in international construction projects. In this paper, we report the factors identified for similarity assessment of countries to be used to facilitate learning from projects. As a result of literature review, interviews with experts and an online questionnaire administered to company professionals who have international construction experience, 12 factors have been identified for clustering of countries. As a result of ranking analysis; factors of “development level of and culture in the construction industry”, “political condition of the country” and “financial condition of the country” are obtained as the most important factors. The identified factors will be explained and how the clustering of countries can help companies to extract valuable information from previous experiences will be discussed.

Using Clustering to Learn Distance Functions for Supervised Similarity Assessment

2005 ◽  
pp. 120-131 ◽  
Author(s):  
Christoph F. Eick ◽  
Alain Rouhana ◽  
Abraham Bagherjeiran ◽  
Ricardo Vilalta
Keyword(s):  
Distance Functions ◽  
Similarity Assessment

Digital maturity models: comparing manual and semi-automatic similarity assessment frameworks

2021 ◽  
Vol 13 (4) ◽  
pp. 291
Author(s):  
Bruno Cognet ◽  
Jean Philippe Pernot ◽  
Louis Rivest ◽  
Chritophe Danjou
Keyword(s):  
Maturity Models ◽  
Similarity Assessment
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