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Browsing Conference Papers by Title

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  • Chandran, D (International Business Information Management Association, 2013-01)
    Education is to be affordable and reachable to the learners at an affordable cost. An E-learning platform based on open standards with minimum initial cost of investment, will be able to educate people to achieve knowledge ...
  • Chowdhury, GG; Chowdhury, S (HE Academy, 2006-01)
    In this paper, we describe the findings of the initial phase of the eLLIS project funded by the HEA SUbject Network Development fund that aims to study the current practices and support for elearning available in the Library ...
  • Johnston, AJ; Humberstone, J (Massey University, College of Creative Arts, Institute of Communication Design, 2010-01)
    This paper presents findings from a trial of the interactive music software Jam2Jam in a classroom music setting. Jam2Jam is software which allows musical novices to control generative music in real time. It has an interface ...
  • Al-Jumaily, A; Olivares, R (The Association for Computing Machinery, 2009-01)
    The users of current prosthetic and rehabilitation devices are facing problems to adapt to their new hosts or not receiving any bio-feedback despite rehabilitation process and retraining, particularly when working with ...
  • Smith, ST; Talaei-Khoei, A; Ray, M; Ray, P; IEEE (2009)
  • Wang, Y; Gao, X; Li, X; Tao, D; Wang, B (Springer-Verlag Berlin, 2009-01)
    Mass boundary segmentation plays an important role in computer aided diagnosis (CAD) system. Since the shape and boundary are crucial discriminant features in CAD, the active contour methods are more competitive in mass ...
  • Dyson, LE; Raban, R; Litchfield, AJ; Lawrence, EM (IMCL, 2008-01)
  • Sabir, KS; Lowe, DB (IEEE, 2010-01)
    Abstract-Stream processing has been shown to be a computing paradigm that is well suited to the distributed processing of massive amounts of continuous real-time data. In stream processing, tasks are distributed across ...
  • Seevinck, J; Edmonds, EA; Candy, L (2012)
    Emergence has the potential to effect complex, creative or open-ended interactions and novel game-play. We report on research into an emergent interactive system. This investigates emergent user behaviors and experience ...
  • Aberer, K; Catarci, T; Cudre-Mauroux, P; Dillon, TS; Grimm, S; Hacid, M; Illarramendi, A; Jarrar, M; Kashyap, V; Mecella, M; Mena, E; Neuhold, EJ; Ouksel, AM; Risse, T; Scannapieco, M; Saltor, F; de Santis, L; Spaccapietra, S; Staab, S; Studer, R; De Troyer, O (Springer Verlag, 2004-01)
    With new standards like RDF or OWL paving the way for the much anticipated Semantic Web, a new breed of very large scale semantic systems is about to appear. Traditional semantic reconciliation techniques, dependent upon ...
  • Hagan, P; Robertson, TJ; Kan, MM; Sadler, KA (CHISIG, 2005-01)
  • Mu, Y; Ding, W; Morabito, M; Tao, D (Springer, 2011-01)
    Police agencies have been collecting an increasing amount of information to better understand patterns in criminal activity. Recently there is a new trend in using the data collected to predict where and when crime will ...
  • Qumer, A; Henderson-Sellers, B (2010)
    While many organisations are interested in adopting agile methods suitable to their local circumstances, there is little guidance available on how to do so. To address this important issue, we have developed an agile ...
  • Liang, G; Zhang, C (ACS, 2011-01)
    This study investigates the performance of bagging in terms of learning from imbalanced medical data. It is important for data miners to achieve highly accurate prediction models, and this is especially true for imbalanced ...
  • Zhang, P; Gao, BJ; Zhu, X; Guo, L (IEEE, 2011-01)
    Lazy learning, such as k-nearest neighbor learning, has been widely applied to many applications. Known for well capturing data locality, lazy learning can be advantageous for highly dynamic and complex learning environments ...
  • Zhang, P; Li, J; Wang, P; Gao, BJ; Zhu, X; Guo, L (ACM, 2011-01)
    Ensemble learning has become a common tool for data stream classification, being able to handle large volumes of stream data and concept drifting. Previous studies focus on building accurate prediction models from stream ...
  • Cecez-Kecmanov, D.; Kay, R. J (School of Information Systems, Victoria University, 2002)
    Drawing from a longitudinal field study on an IS development in the Investment Banking industry, in this paper we explore the implications emerging from the IS role in the provision of knowledge-based services to clients. ...
  • Hawryszkiewycz, IT (Springer, 2002-01)
    The paper begins by defining different kinds of virtual enterprises and the kinds of support needed to make them sustainable. The paper identifies three requirements must be satisfied. These are technology that supports ...
  • Bernardo, DV; Hoang, DB (SPRINGER-VERLAG BERLIN, 2010-01-01)
  • Jan, MA; Nanda, P; He, X (2013)
    Wireless Sensor Networks (WSN) consists of battery-powered sensor nodes which collect data and route the data to the Base Station. Centralized Cluster-based routing protocols efficiently utilize limited energy of the nodes ...