Browsing by Author "Luo Chao"

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Browsing by Author "Luo Chao"

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  • Luo Chao; Zhao Yanchang; Luo Dan; Zhang Chengqi; Cao Wei (Springer-Verlag, 2011)
    This paper presents an agent-based algorithm for discovering subspace clusters in high dimensional data. Each data object is represented by an agent, and the agents move from one local environment to another to find optimal ...
  • Cao Longbing; Luo Chao; Zhang Chengqi (Springer-Verlag, 2007)
  • Luo Chao; Cao Longbing; Zhang Chengqi (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2007)
    Trading agents are very useful for developing and backtesting quality trading strategies for actions taking in the real world. However, the existing trading agent research mainly focuses on simulation using artificial ...
  • 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. ...
  • Luo Chao; Zhao Yanchang; Cao Longbing; Ou Yuming; Zhang Chengqi (Springer, 2008)
    This paper presents our research on exception mining on multiple time series data which aims to assist stock market surveillance by identifying market anomalies. Traditional technologies on stock market surveillance have ...
  • Luo Dan; Luo Chao; Zhang Chunzhi (Springer-Verlag Berlin, 2005)
    Link discovery is an emerging research direction for extracting evidences and links from multiple data sources. This paper proposes a self-organizing framework for discovering links from multi-relational databases. It ...
  • Cao Longbing; Luo Chao; Luo Dan; Zhang Chengqi (Macquarie Scientific Publishing, 2004)
    The problem of telecommunications frauds has been getting more and more serous for many years, and is even getting more and more worse not only in western countries but also in some developing countries. Detection, ...
  • Cao Longbing; Luo Chao; Luo Dan; Zhang Chengqi (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
  • Ou Yuming; Cao Longbing; Luo Chao; Liu Li (IEEE Computer Society, 2008)
    Market Surveillance plays an important role in maintaining market integrity, transparency and fairnesss. The existing trading pattern analysis only focuses on interday data which discloses explicit and high-level market ...
  • Cao Longbing; Luo Chao; Luo Dan; Liu Li (Springer-Verlag, 2004)
  • Cao Longbing; Luo Dan; Luo Chao; Liu Li (Springer-Verlag, 2004)
    We have proposed a new approach called ontology services-driven integration of business intelligence (BI) to designing an integrated BI platform. In such a BI platform, multiple ontological domains may get involved, such ...
  • Luo Chao; Li Chunsheng; Cao Longbing; Zhang Chengqi; Dai Ru (Knowledge Systems Institute, 2003)
    As a new science of complex intelligent information systems, an open giant intelligent information system is a special kind of complex software systems. In this paper, we first presented conception and complexities of ...
  • Luo Chao; Zhao Yanchang; Cao Longbing; Ou Yuming; Liu Li (Springer, 2008)
    In stock market, the key surveillance function is identifying market anomalies, such as insider trading and market manipulation, to provide a fair and efficient trading platform [2,6]. Insider trading refers to the trades ...
  • Luo Chao; Zhao Yanchang; Luo Dan; Ou Yuming; Liu Li (IGI-Global, 2010)
    This chapter aims to provide a comprehensive survey of the current advanced technologies of exception mining in stock market. The stock market surveillance is to identify market anomalies so as to provide a fair and efficient ...
  • Cao Longbing; Luo Dan; Luo Chao; Zhang Chengqi (IOS Press, 2003)
    Nowadays, several solutions can be obtained from business intelligence product vendors for building business intelligence system. However, based on our experience in implementing business intelligence system in ...