نتایج جستجو برای: Group Ranking

تعداد نتایج: 1010890  

Journal: :J. Informetrics 2010
Loet Leydesdorff Tobias Opthof

Van Raan et al. (2010) accepted our critique for the case of journal normalization (previously CPP/JCSm); CWTS has in the meantime adapted its procedures. However, a new indicator was proposed for field normalization (previously CPP/FCSm), called the “mean normalized citation score” (MNCS; cf. Lundberg, 2007). In our opinion, this latter change does not sufficiently resolve the problems. Since ...

Journal: :Neurocomputing 2015
Yuan Lin Hongfei Lin Kan Xu Ajith Abraham Hongbo Liu

An essential issue in document retrieval is ranking, which is used to rank documents by their relevancies to a given query. This paper presents a novel machine learning framework for ranking based on document groups. Multiple level labels represent the relevance of documents. The values of labels are used to quantify the relevance of the documents. According to a given query in the training set...

Journal: :Computers & Mathematics with Applications 1996

Proposing a hierarchical group compromise method can be regarded as a one of major multi-attributes decision-making tool that can be introduced to rank the possible alternatives among conflict criteria. Decision makers’ (DMs’) judgments are considered as imprecise or fuzzy in complex and hesitant situations. In the group decision making, an aggregation of DMs’ judgments and fuzzy group compromi...

Journal: :IJDWM 2008
ZhiZhuo Zhang Qiong Chen Shang-Fu Ke Yi-Jun Wu Fei Qi

Ranking potential customers has become an effective tool for company decision makers to design marketing strategies. The task of PAKDD competition 2007 is a cross-selling problem between credit card and home loan, which can also be treated as a ranking potential customers problem. This article proposes a 3-level ranking model, namely Group-Ensemble, to handle such kinds of problems. In our mode...

Journal: :International Journal of Data Science and Analytics 2016

Journal: :International Journal of Computational Intelligence Systems 2013

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