Ding Pan

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Ontology plays the central role in the information system. A novel framework for data mining process is proposed, using ontology repository to integrate domain knowledge. Ontobase ontology repository is an implementation of our design to allow users and agents to retrieve ontologies and metadata through open Web standards and ontology service. Key features(More)
Nowadays, some enterprises have multiplicative ways of going about tax evasion, which becomes one puzzle in tax inspection. Tax inspectors to carry out rapid and accurate work have become extremely important. The traditional inspection case-selecting is mainly based on reported information. This method to judge the delineation of the characteristics of(More)
Determining the electronic and dielectric properties of water at high pressure and temperature is an essential prerequisite to understand the physical and chemical properties of aqueous environments under supercritical conditions, for example, in the Earth interior. However, optical measurements of compressed ice and water remain challenging, and it has(More)
  • Ding Pan
  • 2010
Knowledge discovery has received more and more attention from the business community for the last few years. One of the most important and challenging problems in it is the definition of discovery process model, which are well understood, efficiency, and quality of outcome. A conceptual infrastructure for knowledge discovery process is proposed with(More)
  • Ding Pan
  • 2010
Telecom broadband is a main channel supporting internet surfing in China. With the market competition development, customer churn management has become a kernel task of marketing for telecommunication operators. The traditional market research methods are difficult to support the challenge of churn. Data mining techniques are applied to the customer churn(More)
Based on the process model CRISP-DM, this paper has solved E-marketing problems like network customer prediction and market segmentation. Each phase of this model was described firstly, and then its application in E-marketing was presented, which provides a complete description of all the steps, from understanding the problem domain to using the discovered(More)
As a new paradigm for data warehousing demanded by today's decision support community, DW 2.0 recognized the life cycle of data with it, that make metadata evolution mechanism became one of the important research issues. The requirements of multi-version management for four data sectors in DW 2.0 environment are described. Then a novel metadata versioning(More)
DW 2.0 was defined as the next-generation data warehouse architecture by Inmon. Metadata's importance and role in the DW 2.0 are recognized. The most important of DW 2.0 is the recognition of the lifecycle of data within the data warehouse. Base on the lifecycle of data and the decentralized metadata repository architecture, this paper developed a new(More)