Browsing by Author "Ou, Yuming"

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Browsing by Author "Ou, Yuming"

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  • Ou, Yuming; Cao, Longbing; Zhang, Chengqi (IEEE, 2009)
    Many real-life applications often involve multiple sequences, which are coupled with each other. It is unreasonable to either study the multiple coupled sequences separately or simply merge them into one sequence, because ...
  • Cao, Longbing; Ou, Yuming; Yu, P (IEEE Computer Soc, 2012)
    Coupled behaviors refer to the activities of one to many actors who are associated with each other in terms of certain relationships. With increasing network and community-based events and applications, such as group-based ...
  • Zhao, Yanchang; Zhang, Huaifeng; Cao, Longbing; Bohlscheid, Hans-Michael; Ou, Yuming; Zhang, Chengqi (Springer, 2009)
    This chapter presents four applications of data mining in social security. The first is an application of decision tree and association rules to find the demographic patterns of customers. Sequence mining is used in the ...
  • Cao, Longbing; Ou, Yuming; Yu, Philip; Wei, Gang (ACM, 2010)
    In capital market surveillance, an emerging trend is that a group of hidden manipulators collaborate with each other to manipulate three trading sequences: buy-orders, sell-orders and trades, through carefully arranging ...
  • Ou, Yuming; Cao, Longbing; Yu, Ting; Zhang, Chengqi (IEEE Computer Soc, 2007)
    Trading agent concept is very useful for trading strategy design and market mechanism design. In this paper, we introduce the use of trading agent for market surveillance. Market surveillance agents can be developed for ...
  • Zhao, Yanchang; Cao, Longbing; Morrow, Yvonne; Ou, Yuming; Ni, Jiarui; Zhang, Chengqi (ACS Inc, 2006)
  • 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. ...
  • Wei, Wei; Cao, Longbing; Ou, Yuming; Chen, Jiahang; Li, Joe (Springer, 2013)
    Sophisticated online banking fraud reflects the integrative abuse of resources in social, cyber and physical worlds. Its detection is a typical use case of the broad-based Wisdom Web of Things (W2T) methodology. However, ...
  • Dong, Xiangjun; Zheng, Zhigang; Cao, Longbing; Zhao, Yanchang; Zhang, Chengqi; Wei, Wei; Ou, Yuming; Li, Joe (ACM, 2011)
    Mining Negative Sequential Patterns (NSP) is much more challenging than mining Positive Sequential Patterns (PSP) due to the high computational complexity and huge search space required in calculating Negative Sequential ...
  • 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 ...
  • Yu, Jeffrey; Ou, Yuming; Zhang, Chengqi; Zhang, Shichao (IEEE Computer Soc, 2005)
    Web site owners have trouble identifying customer purchasing patterns from their Web logs because the two aren't directly related. Thus, organizations must understand their customers' behavior, preferences, and future ...
  • Zhang, Shichao; Liu, Li; Lu, Jingli; Ou, Yuming (Springer-Verlag Berlin, 2004)
  • Cao, Longbing; Ou, Yuming (Graz University of Technology, 2008)
    Market Surveillance plays important mechanism roles in constructing market models. From data analysis perspective, we view it valuable for smart trading in designing legal and profitable trading strategies and smart ...
  • 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; Zhao, Yanchang; Figueiredo, Fernando; Ou, Yuming; Luo, Dan (Springer, 2007)
    In the real world, exceptional behavior can be seen in many situations such as security-oriented fields. Such behavior is rare and dispersed, while some of them may be associated with significant impact on the society. A ...
  • 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 ...
  • Zhu, Xinhua; Yu, Y; Ou, Yuming; Luo, Dan; Zhang, Chengqi; Chen, Jiahang (Springer, 2013)
    A system modeling is presented for a Smart-home Healthy Lifestyle Assistant System (SHLAS), covering healthy lifestyle promotion by intelligently collecting and analyzing context information, executing control instruction ...