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  • A nature inspired anomaly detection system using multiple detection engines 
    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 ...
  • Navigating Product Catalogs Through OFDAV Graph Visualization 
    Huang Mao; Zhang Kang (Knowledge Systems Institute, 2002)
    This paper describes the development of a 2D interactive visual interface for navigating online product catalogs that are commonly used for B2C e-commerce. We introduce an e-commerce framework for Visual Online Shops ...
  • Navigating Product Catalogs Using 2+1D Fisheye Browser 
    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 ...
  • NavOptim: On the Possibility of Minimising Navigation Effort 
    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 ...
  • Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns 
    Zheng Zhigang; Zhao Yanchang; Zuo Ziye; Cao Longbing (Australian Computer Society, 2009)
    Different from traditional positive sequential pattern mining, negative sequential pattern mining considers both positive and negative relationships between items. Negative sequential pattern mining doesn't necessarily ...
  • Negotiating agents for internet commerce 
    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 ...
  • Negotiating Intelligently 
    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 ...
  • Negotiating the chasm in system development 
    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 ...
  • A Negotiation Agent 
    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 ...
  • Negotiation Behaviour & Group interaction in face-to-face & distributed requirements negotiations: 4 case studies 
    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 ...
  • NESVM: a Fast Gradient Method for Support Vector Machines 
    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 ...
  • Network Data Mining: Methods and techniques for discovering deep linkage between attributes 
    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 ...
  • Network Intrusion Detection Based on LDA for Payload Feature Selection 
    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 ...
  • Neural Network Based Image Edge Detection Within Spiral Architecture 
    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 ...
  • Neural Network based Threat Assessment for Terrorist Activities 
    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 ...
  • Neuro-fuzzy Learning Applied to Improve the Trajectory Reconstruction Problem 
    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 ...
  • Neuro-Immune-Endocrine (NIE) Models for Emergency Services Interoperatibility 
    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 ...
  • A neutral network classifier based design support system (NNCDSS) for network intrusion detection and response 
    Lu Jie; Wang Dong Fang; Tran Tich Phuoc; Chen Shuoyu; Tolentino Marshall (Donghua University, 2006)
    This paper introduces an innovative design of a classifier based decision support component for an intrusion detection system. In particular, this model uses an emerging semi-parametric learning algorithm called Modified ...
  • A new algorithm for mining fuzzy association rules 
    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. ...
  • A new approach for choosing the most appropriate fuzzy ranking algorithm for solving MADM problems 
    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 ...