Browsing 08 Information and Computing Sciences by Title

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Browsing 08 Information and Computing Sciences by Title

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  • Wong Yuk Kuen; Wilson David (Association for Computing Machinery, 2004)
    The purpose of this paper is to examine the important relationships between task training experience and software review performance. A total of 192 subjects voluntarily participated in a laboratory experimental research ...
  • Wong Yuk Kuen; Wilson David (ACTA Press, 2003)
    Past research suggests that individuals' experience and task training are the factor to software review performance. However, there is no empirical evidence in the software review literature to show how individuals' ...
  • Cao Longbing; Zhang Chengqi (Springer-Verlag, 2006)
    Actionable knowledge discovery is one of Grand Challenges in KDD. To this end, many methodologies have been developed. However, they either view data mining as an autonomous data-driven trial-and-error process, or only ...
  • Cao Longbing; Yu Philip; Zhang Chengqi; Zhao Yanchang (Springer, 2010)
    * Bridges the gap between business expectations and research output * Includes techniques, methodologies and case studies in real-life enterprise DM * Addresses new areas such as blog mining In the present ...
  • Cao Longbing; Zhang Chengqi (IGI Global, 2008)
    Quantitative intelligence based traditional data mining is facing grand challenges from real-world enterprise and cross-organization applications. For instance, the usual demonstration of specific algorithms cannot support ...
  • Cao Longbing; Zhang Chengqi (IDEA Group, 2006)
    Extant data mining is based on data-driven methodologies. It either views data mining as an autonomous data-driven, trial-and-error process or only analyzes business issues in an isolated, case-by-case manner. As a result, ...
  • Cao Longbing (IEEE, 2010)
    Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use of specific algorithms and models. The process of data mining stops at pattern identification. Consequently, a widely seen ...
  • Cao Longbing (IEEE Computer Society, 2008)
    In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user preferences and business needs. However, the current data mining algorithms and tools often stop ...
  • Cao Longbing; Schurmann Rick; Zhang Chengqi (University of Technology, Sydney, 2005)
  • Ou Yuming; Cao Longbing; Luo Chao; Zhang Chengqi (Springer, 2008)
    Recently, a new data mining methodology, Domain Driven Data Mining (D3M), has been developed. On top of data-centered pattern mining, D3M generally targets the actionable knowledge discovery under domain-specific circumstances. ...
  • Zhang Chengqi; Cao Longbing (IOS Press, 2006)
    The aims and objectives of data mining is to discover actionable knowledge of main interest to real user needs, which is one of Grand Challenges in KDD. Most extant data mining is a data-driven trial-an-error process. ...
  • Yusop Norazlin; Lowe David; Zowghi Didar (Springer-Verlag, 2004)
    In web systems development, the business environment, processes and the related Web systems are interdependent. The business domain not only drives the identification of system needs, but the business is fundamentally changed ...
  • Fu Yifan; Li Bin; Zhu Xingquan; Zhang Chengqi (ACM, 2011)
    Traditional active learning methods request experts to provide ground truths to the queried instances, which can be expensive in practice. An alternative solution is to ask nonexpert labelers to do such labeling work, which ...
  • Wilson David; Avison David (The University of Southern Queensland, 2007)
  • Kennedy Paul; Osborne Tom (Morgan Kaufmann, 2001)
    A new double-stranded encoding scheme based on the DNA molecule is described. Double-stranded encodings allow the representation of more schemata than single stranded encodings containing the same number of bits. ...
  • Wang Zhan; Huang Shoudong; Dissanayake Gamini (Springer-Verlag, 2005)
    The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated ...
  • Debenham John; Sierra Carles (Springer-Verlag London, 2010)
    Human agents deliberate using models based on reason for only a minute proportion of the decisions that they make. In stark contrast, the deliberation of artificial agents is heavily dominated by formal models based on ...
  • Nguyen Quang Vinh; Huang Mao (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    This paper presents a fast and efficient focus+context technique, called DualView for navigating large graphs/hierarchies which are usually displayed in a high-density manner. The DualView includes two transformations: ...
  • Felix Navarro Karla; Lawrence Elaine; Marin Jaime Andres; Sax Christian (IARIA Conference, 2011)
    This paper proposes a dynamic and customizable layered serious game design framework for improving the physical and mental health of the aged after presenting the results obtained from a study with mainstream and ...