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An Overview of Data Mining and knowledge discovery

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Journal of Computer Science & Technology 1998年第4期13卷 348-368页

作者：范建华李德毅 DepartmentofComputerScience CommunicationEngineeringInstituteNanjing210016PR.China DepartmentofComp

With massive amounts of data stored in databases, mining information and knowledge in databases has become an important issue in recent research. Researchers in many different fields have shown great interest in data mining and knowledge discovery in databases. Several emerging applications in information providing services, such as data warehousing and on-line services over the Internet, also call for various data mining and knowledge discovery techniques to understand user behavior better, to improve the service provided, and to increase the business opportunities. In response to such a demand, this article is to provide a comprehensive survey on the data mining and knowledge discovery techniques developed recently, and introduce some real application systems as well. In conclusion, this article also lists some problems and challenges for further research.

关键词： knowledge discovery in databases data mining machine learning,association rule classification data clustering data generalization pattern searching

Some Massively Parallel Algorithms from Nature

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Wuhan University Journal of Natural Sciences 2002年第1期7卷 37-46页

作者： Li Yan, Kang Li-shan, Chen Yu-ping, Liu Pu, Cao Hong-qing, Pan Zheng-jun The State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, China The State Key Laboratory of Software Engineering Wuhan University Wuhan Hubei China

We introduced the work on parallel problem solvers from physics and biology being developed by the research team at the State Key Laboratory of Software Engineering, Wuhan University. Results on parallel solvers include the following areas: Evolutionary algorithms based on imitating the evolution processes of nature for parallel problem solving, especially for parallel optimization and model-building; Asynchronous parallel algorithms based on domain decomposition which are inspired by physical analogies such as elastic relaxation process and annealing process, for scientific computations, especially for solving nonlinear mathematical physics problems. All these algorithms have the following common characteristics: inherent parallelism, self-adaptation and self-organization, because the basic ideas of these solvers are from imitating the natural evolutionary processes.

关键词： evolutionary computation parallel algorithm imitating nature domain decomposition knowledge discovery in databases

A Novel Rule Induction Algorithm

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Chinese Journal of Lasers 2001年第6期10卷 28-32页

作者： ZHENG Jianguo LIU Fang WANG Lei JIAO Licheng (Key Lab for Radar Signal Processing, Xidian Univ., Xi′an 710071, China) 西安电子科技大学雷达信号处理国家重点实验室陕西西安 710071

knowledge discovery in databases is concerned with extracting useful information from databases, and the immune algorithm is a biological theory-based and globally searching algorithm. A specific immune algorithm is designed for discovering a few interesting, high-level prediction rules from databases, rather than discovering classification knowledge as usual in the literatures. Simulations show that this novel algorithm is able to improve the stability of the population, increase the holistic performance and make the rules extracted have higher precision.

关键词： Immune algorithms knowledge discovery in databases data mining

A hybrid approach of knowledge discovery in fishery resources evaluation

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西南师范大学学报(自然科学版) 1999年第5期24卷 536-544页

作者： Li\ Li Department of Computer Science,Southwest China Normal University,Chongqing 400715 西南师范大学计算机科学系重庆

A framework is put for ward,which integrates knowledge discovery in Database (KDD) with case based reasoning (CBR) and Bayesian *** following tasks are fulfilled:(1)discovering refined rules;(2)retrieving structured data which can not be described by flat vector feature;(3)forecasting the location of central fishing ground for the next *** these have been applied to a real case with some encouraging and interesting results.

关键词： knowledge discovery in databases bayesian network case based reasoning causal network

knowledge discovery and its Applications in Telecommunications Industry

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The Journal of China Universities of Posts and Telecommunications 1999年第1期6卷 46-51页

作者： WanYan SiYaqing BeijingUniversityofPostsandTelecommunications Beijing10876P.R.China BeijingUniversityofPostsandTelec

It is important for telecom companies to make sense of the large number of data they have accumulated over the years. This paper reviews the concepts and the techniques of knowledge discovery in databases (KDD), and surveys applications of this technology in the telecommunications sector all over the world. It also discusses some possible applications of this technology in China, and reports a preliminary result of the first attempt to apply KDD technique in telephone traffic volume prediction. It concludes that KDD is a promising technology that can help to enhance-the competitiveness of China's telecom companies in the face of looming competition in a liberated market.

关键词： knowledge discovery in databases telecommunications data mining

A KDD Based Flexible e-Commerce Platform Model

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A KDD Based Flexible e-Commerce Platform Model

Database Technology Development

ICEMI'2005第七届国际电子测量与仪器学术会议

作者： Lan Yongjie Qiu Yong Yang Shulian (Shandong Institute of Business and Technology YanTai 264005 China)

knowledge discovery in databases (KDD) is a new and evolving research area which attempts to solve the knowledge acquisition bottleneck by automatically acquiring knowledge hidden in enormous amounts

关键词： knowledge discovery in databases KDD e-Commerce Platform.

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Database Technology Development

第十四届全国数据库学术会议

作者： Leong Long Kam Computer Studies Program SAASMacau Polytechnic InstituteMacau

As the technology has advanced and the user requirements have become more and more complex,the DBMS industry has been dramatically *** database technology has developed very fast since it emerged in the end of the 1960s, especially during recent years when hardware and software have advanced and new database applications such as Internet web applications have *** a result, several hot database techniques *** are client/server database,multimedia database,parallel database,object-oriented database,knowledge discovery in databases and data warehouse,and Internet *** article presents some information about these latest developments in database area.

关键词： database technology development client/server multimedia parallel object-oriented knowledge discovery in databases data warehouses Internet

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知识发现中的可视化技术

知识发现中的可视化技术

第十七届全国数据库学术会议

作者：万家华刘冰江早东北大学软件中心

1引言随着计算机技术和Internet技术的迅速发展,数据资源日益丰富。但是,数据资源中蕴涵的知识却远远没有得到充分的挖掘和利用,"数据丰富而知识贫乏"的问题至今还很严重。如何将数据的最大价值挖掘出来,从中获得更多的

关键词： Data mining Data visualization Model visualization Process visualization knowledge discovery in databases

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基于可视化数据挖掘的知识发现模型研究