Browsing by Subject "Data mining."

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Browsing by Subject "Data mining."

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  • Adapting K-Means Algorithm for Discovering Clusters in Subspaces 
    Zhao Yanchang; Zhang Chengqi; Zhang Shichao; Zhao Lianwei (Springer-Verlag, 2006)
    Subspace clustering is a challenging task in the field of data mining. Traditional distance measures fail to differentiate the furthest point from the nearest point in very high dimensional data space. To tackle the ...
  • Advances in protein ontology project 
    Chang, E.; Dillon, T. S.; Sidhu, A. (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Advances in proteomics and protein expression techniques have lead to the elucidation of large amounts of protein data. Various data mining algorithms and mathematical models provide methods for analyzing this data; ...
  • Efficient frequent itemsets mining by sampling 
    Zhang Chengqi; Zhao Yanchang; Zhang Shichao (IOS Press, 2006)
    As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get approximating answers in much shorter time. ...
  • A human-friendly MAS for mining stock data 
    Ni Jiarui; Zhang Chengqi (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Mining stock data can be beneficial to the participants and researchers in the stock market. However, it is very difficult for a normal trader or researcher to apply data mining techniques to the data on his own due to ...
  • Identifying Arbitrage Opportunities in E-Markets 
    Debenham John (Springer-Verlag, 2002)
    A market is in equilibrium if there is no opportunity for arbitrage, ie: risk-free, or low-risk, profit. The majority of real markets are not in equilibrium. A project is investigating the market evolutionary process ...
  • Special Periods Peak Load Analysis and Superior Forecasting Method Based on LS-SVM 
    Wu Liang; Wang Jian-Zhou; Lu Hai Yan (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    People often try to smooth or eliminate load outliers all together in traditional power load forecasting. This, however, could result in the loss of important hidden information. In other words, the power load outliers ...
  • A strategic analytics methodology 
    Van Rooyen, Marcel (2005)
    Commercial organisations are dependent on generating profit from competitive advantage. Central to this approach, is the Strategic Planning Cycle (SPC). SPC converts new information and new subject matter expertise into ...