Browsing by Author "Luo Dan"

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Browsing by Author "Luo Dan"

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  • Agent-Based Subspace Clustering 
    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 ...
  • Agent Collaboration for Multiple Trading Strategy Integration 
    Cao Longbing; Luo Dan; Xiao Yan Shan; Zheng Zhigang (Springer Berlin, 2008)
    The collaboration of agents can undertake complicated tasks that cannot be handled well by a single agent. This is even true for excecuting multiple goals at the same time. In this paper, we demonstrate the use of trading ...
  • Building Agent Service Oriented Multi-Agent Systems 
    Luo Dan; Cao Longbing; Ni Jiarui; Liu Li (Springer-Verlag, 2007)
  • Combined Mining: Discovering Informative Knowledge in Complex Data 
    Cao Longbing; Zhang Huaifeng; Zhao Yanchang; Luo Dan; Zhang Chengqi (IEEE, 2011)
    Enterprise data mining applications often involve complex data such as multiple large heterogeneous data sources, user preferences, and business impact. In such situations, a single method or one-step mining is often limited ...
  • A Cost-Effective LSH Filter for Fast Pairwise Mining 
    Zhao Gang; Xiong Yun; Cao Longbing; Luo Dan; Su Xuchun; Zhu Yangyong (IEEE Computer Society, 2009)
    The pairwise mining problem is to discover pairwise objects having measures greater than the user-specified minimum threshold from a collection of objects. It is essential in a large variety of database and data-mining ...
  • Flexible Frameworks For Actionable Knowledge Discovery 
    Cao Longbing; Zhao Yanchang; Zhang Huaifeng; Luo Dan; Zhang Chengqi; Park Ek (IEEE Computer Soc, 2010)
    Most data mining algorithms and tools stop at the mining and delivery of patterns satisfying expected technical interestingness. There are often many patterns mined but business people either are not interested in them or ...
  • A Framework For Relational Link Discovery 
    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 ...
  • Fuzzy genetic algorithms for pairs mining 
    Cao Longbing; Luo Dan; Zhang Chengqi (Springer-Verlag, 2006)
    Pairs mining targets to mine pairs relationship between entities such as between stocks and markets in financial data mining. It has emerged as a kind of promising data mining applications. Due to practical complexities ...
  • Hybrid Strategy of Analysis and Control of Telecommunications Frauds 
    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, ...
  • Integration of Business Intelligence Based on Three-Level Ontology Services 
    Cao Longbing; Luo Chao; Luo Dan; Zhang Chengqi (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2004)
  • Integrative Early Requirements Analysis for Agent-Based Systems 
    Zhang Chengqi; Luo Dan; Cao Longbing; Chen Wanli; Zamari Neda (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    Early requirements analysis (ERA) is quite significant for building agent-based systems. Goaloriented requirements analysis is promising for the agent-oriented early requirements analysis. In general, either visual ...
  • Intelligence Metasynthesis in Building Business Intelligence Systems 
    Cao Longbing; Zhang Chengqi; Luo Dan; Dai Ruwei (Springer Berlin / Heidelberg, 2007)
    In our previous work, we have analyzed the shortcomings of existing business intelligence (BI) theory and its actionable capability. One of the works we have presented is the ontology-based integration of business, data ...
  • Knowledge actionability: satisfying technical and business interestingness 
    Cao Longbing; Luo Dan; Zhang Chengqi (Inderscience, 2007)
  • A Learning Process Using SVMs for Multi-agents Decision Classification 
    Xiao Yan Shan; Deng Feiqi; Liu Bo; Liu Shouqiang; Luo Dan; Liang Guohua (IEEE CS digital library & Springer, 2008)
    The Third International Workshop on Agents and Data Mining Interaction (ADMIâ¿¿08) joint with the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. In addition, an EDITED ...
  • Mining Domain Driven Correlations in Stock Markets 
    Lin Li; Luo Dan; Liu Li (Springer-Verlag, 2005)
    There have been many technical trading rules in stock market since the first stock exchange founded. Along with the developing of computer technology, the technical trading rules are playing more and more important roles ...
  • Mining High Impact Exceptional Behavior Patterns 
    Cao Longbing; Zhao Yanchang; Figueiredo Fernando; Ou Yuming; Luo Dan (Springer-Verlag, 2007)
  • Multi-agent system for customer relationship management with SVMs tool 
    Xiao Yan Shan; Liu Bo; Luo Dan; Cao Longbing; Deng Feiqi; Hao Zhifeng (Inderscience, 2010)
    In this paper, we introduce multiple agents, knowledge discovery and data mining into customer relationship management (CRM) to set up the architecture of a multi-agent-based CRM system (MAB-CRM), and then use the SVMs-based ...
  • Multi-agent system for custom relationship management with SVMs tool 
    Xiao Yan Shan; Liu Bo; Luo Dan; Cao Longbing (Springer Berlin / Heidelb, 2008)
    Distributed data mining in the CRM is to learn available knowledge from the customer relationship so as to instruct the strategic behavior. In order to resolve the CRM in distributed data mining, this paper proposes the ...
  • A Multiple System Performance Monitoring Model for Web Services 
    Yang Yong; Luo Dan; Zhang Chengqi (Springer-Verlag Berlin Heidelberg, 2010)
    With the exponential growth of the world wide web, web services have becoming more and more popular. However, performance monitoring is a key issue in the booming service-orient architecture regime. Under such loosely ...
  • Ontological engineering in data warehousing 
    Cao Longbing; Ni Jiarui; Luo Dan (Springer-Verlag, 2006)
    In our previous work, we proposed the ontology-based integration of data warehousing to make existing data warehouse system more user-friendly, adaptive and automatic. This paper further outlines a high-level picture of ...