Browsing 08 Information and Computing Sciences by Author "Jin, Zhi"

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Browsing 08 Information and Computing Sciences by Author "Jin, Zhi"

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  • Zowghi, Didar; Jin, Zhi (IEEE, 2010)
    As the economies of the world have become increasingly dependant on Information Technology (IT) services, there is a need for service designers and developers to focus on co-value creation between service providers and ...
  • Wang, Tao; Qin, Zhenxing; Jin, Zhi; Zhang, Shichao (Elsevier Ltd, 2010)
    Cost-sensitive learning algorithms are typically designed for minimizing the total cost when multiple costs are taken into account. Like other learning algorithms, cost-sensitive learning algorithms must face a significant ...
  • Wei, Bo; Jin, Zhi; Zowghi, Didar (Springer-Verlag Berlin Heidelberg, 2010)
    Knowledge merging is the process of synthesizing multiple knowledge models into a common model. Available methods concentrate on resolving conflicting knowledge. While, we argue that besides the inconsistency, some other ...
  • Mu, Kedian; Jin, Zhi; Zowghi, Didar (IEEE Explore, 2008)
    nconsistency is a pervasive issue in software engineering. Both general rules of inconsistency management and special case-based approaches to handling inconsistency have recently been considered. In this paper, we present ...
  • Mu, Kedian; Jin, Zhi; Liu, W; Zowghi, Didar; Wei, Bo (Elsevier, 2013)
    Measuring inconsistency is crucial to effective inconsistency management in software development. A complete measurement of inconsistency should focus on not only the degree but also the significance of inconsistency. ...
  • Zhang, Shichao; Chen, Qingfeng; Jin, Zhi; Wang, Ruili (Elsevier Science, 2009)
    A class-bridge rule is the rule whose antecedent and consequent belong to different conceptual classes. This kind of rules stands for the correlation between conceptual classes. The study on class-bridge rules can benefit ...
  • Zhang, Shichao; You, Xiaofang; Jin, Zhi; Wu, Xindong (Elsevier Science, 2009)
    When extracting knowledge (or patterns) from multiple databases, the data from different databases might be too large in volume to be merged into one database for centralized mining on one computer, the local information ...
  • Zhang, Shichao; Jin, Zhi; Zhu, Xiaofeng; Zhang, Jilian (Springer, 2009)
    Many missing data analysis techniques are of single-imputation. However, single-imputation cannot provide valid standard errors and confidence intervals, since it ignores the uncertainty implicit in the fact that the imputed ...
  • Zhang, Shichao; Jin, Zhi; Zhu, Xiaofeng (Springer-Verlag, 2008)
    Many missing data imputation methods are based on only complete instances (instances without missing values in a dataset) when estimating plausible values for the missing values in the dataset. Actually, the information ...
  • Jin, Zhi; Chen, Xiaohong; Zowghi, Didar (IEEE, 2009)
    In the Problem Frames (PF) approach there are five basic problem frames and some variants to them. When a problem is being analysed, it is initially matched against these frames. If the problem does not fit into the basic ...
  • Zhang, Shichao; Wang, Rifeng; Jin, Zhi (Springer, 2009)
    This paper proposes a computation method for holistic multi-feature cube (MF-Cube) queries based on the characteristics of MF-Cubes. Three simple yet efficient strategies are designed to optimize the dependent complex ...