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  • Jiang Frank; Ling Steve; Agbinya Johnson (IEEE, 2011)
    The rapid growth of computer networks presents challenges to the single detection engine based system, which has been insufficient in meeting end-users' requirements in the large-scale distributed complex network. In this ...
  • Quan Wu; Huang Mao (CSREA Press, 2004)
    This paper introduces a novel user interface of online product catalogs. Our research focused on its capability for helping shoppers to navigate and analyze online product information. Specifically, we discuss the ...
  • Kong Xiaoying; Lowe David (Springer-Verlag, 2005)
    Web applications have rapidly become critical to the interaction that organisations have with their external stakeholders. A major factor in the effectiveness of this interaction is the ease with which users can locate ...
  • Debenham John; Lawrence Elaine (IAWTIC, 2006)
    A new breed of "information-based" agents aims to deliver effective negotiators to Internet commerce. They are founded on concepts from information theory, and are designed to operate with information flows of varying ...
  • Debenham John; Simoff Simeon (Springer-Verlag, 2006)
    The predominant approaches to automating competitive interaction appeal to the central notion of a utility function that represents an agent's preferences. Agent's are then endowed with machinery that enables them to ...
  • Hawryszkiewycz Igor (Southern Cross University, 2001)
    Apparent failures in IS development projects are often attributed to mistranslations of requirements as the system is developed, to language incompatibility between users and technical experts. Many development methodologies ...
  • Debenham John (Springer-Verlag, 2004)
    A negotiation agent exchanges proposals, supported by claims, with an opponent. Each proposal and claim exchanged reveals valuable information about the sender's position. A negotiation may brake down if an agent ...
  • Damian Daniela (N/A, 2001)
    This paper presents empirical findings about group interaction and negotiation behavior in face-to-face and computer-mediated requi.rem.ents negotiations. The design of a controlled study that investigated group performance ...
  • Zhou Tianyi; Tao Dacheng; Wu Xindong (IEEE, 2010)
    Support vector machines (SVMs) are invaluable tools for many practical applications in artificial intelligence, e.g., classification and event recognition. However, popular SVM solvers are not sufficiently efficient for ...
  • Galloway John; Simoff Simeon (Australian Computer Society, 2006)
    Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of 'emergent' patterns and trends in the linkage. It complements conventional data ...
  • Tan Zhiyuan; Jamdagni Aruna; He Xiangjian; Nanda Priyadarsi (IEEE Computer Society, 2010)
    Anomaly Intrusion Detection System (IDS) is a statistical based network IDS which can detect attack variants and nove attacks without a priori knowledge. Current anomaly IDSs are inefficient for real-time detection because ...
  • Hintz Thomas; He Xiangjian; Wu Qiang (CSREA Press, 2002)
    Edge detection of 3-dimensional physical objects in a 2-dimensional image is one of the main research areas of computer vision. Edge point is defined as a hexagonal pixel where an abrupt change in grey level takes ...
  • Jan Tony (IEEE Press, 2004)
    In automated visual surveillance systems (AVSS), reliable detection of suspicious human behavior is of great practical importance. Many conventional classifiers have shown to perform inadequately because of unpredictable ...
  • Concha Oscar; Garcia Jesus; Molina Jose (IEEE, 2006)
    This paper presents the application of a neuro-fuzzy learning approach to classify Air Traffic Control (ATC) trajectory segments from recorded opportunity traffic. This method learns a fuzzy system using neural-network ...
  • Chaczko Zenon; Moses Perez (Springer-Verlag, 2007)
    Highly dynamic, re-configurable hardware, embedded software and communication networks are becoming very significant in operation of various emergency services. The key challenge in designing such systems is to provide ...
  • Gao Ya; Ma Jun; Ma L (IEEE, 2004)
    We introduce a new algorithm for mining the fuzzy association rules by removing redundant fuzzy association (RFA) rules. Firstly, we analyze some properties of fuzzy association rules and give the definition of RFA rules. ...
  • Ramezani Fahimeh; Lu Jie (Springer-Verlag Berlin / Heidelberg, 2011)
    There are many fuzzy ranking algorithms available to solve multi-attribute decision making (MADM) problems. Some are more suitable than others for particular decision problems. This paper proposes a new method for choosing ...
  • Lu Jie; Wu Fengjie; Zhang Guangquan (National University of Singapore, 2003)
    Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. When formulating a MOLP problem, objective functions and constraints involve many parameters which possible values are ...
  • Lai Johnny; Leung Frank; Ling Steve (IEEE, 2010)
    A new Differential Evolution (DE) that incorporates fuzzy control and k-nearest neighbors algorithm to determine the terminating condition is proposed. A technique called Iteration Windows is introduced to govern the number ...
  • Zhang Guoli; Lu Hai Yan; Zhang Guangquan (IEEE, 2010)
    This paper proposes a new parallel search algorithm using an evolutionary algorithm and quasi-simplex techniques (EAQST) for non-linear constrained function optimization. EAQST produces the offspring in parallel by using ...