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knowledge discovery OF REMOTELY SENSED DATA FROM ECOLOGICAL VIEW——A Case Study of Urban Spatial-temporal Relationship in the Pearl River Delta

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Chinese Geographical Science 2003年第1期13卷 48-55页

作者： HUWei-ping ZHUYin-zhong GuanghzoulnstituteofGeochemistry theChineseAcademyofSciencesGuangzhou510630P.R.China InsituteofGeographicalSciencesandNaturalResourcesResearch theChineseAcademyofSciencesBeijing100101P.R.China

From the ecological viewpoint this paper discusses the urban spatial-temporal relationship. We take regional towns and cities as a complex man-land system of urban eco-community. This complex man-land system comprises two elements of ' man' and ' land' . Here, ' man' means organization with self-determined consciousness, and ' land' means the physical environment (niche) that ' man' depends on. The complex man-land system has three basic components. They are individual, population and community. Therefore there are six types of spatial relationship for the complex man-land system. They are individual, population,community,man-man, land-land and man-land spatial relationships. Taking the Pearl(Zhujiang) River Delta as a case study, the authors found some evidence of the urban spatial relationship from the remote sensing data. Firstly, the concentration and diffusion of the cities spatial relationship was found in the remote sensing imagery. Most of the cities concentrate in the core area of the Pearl River Delta, but the diffusion situation is also significant. Secondly, the growth behavior and succession behavior of the urban spatial relationship was found in the remote sensing images comparison with different temporal data. Thirdly, the inheritance, break, or meeting emergency behavior was observed from the remote sensing data. Fourthly, the authors found many cases of symbiosis and competition in the remote sensing data of the Pearl River Delta. Fifthly, the autoeciousness, stranglehold and invasion behavior of the urban spatial relationship was discovered from the remote sensing data.

关键词： complex man-land system of urban eco-community spatial-temporalrelationship knowledge discovery remote sensing the pearl river delta

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ESKD-A New Structure of Expert System Based on knowledge discovery

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International Journal of Minerals,Metallurgy and Materials 2000年第1期14卷 63-71页

作者： Bingru Yang Fasheng liu Jiangtao Shen Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China Information Engineering School University of Science and Technology Beijing Beijing 100083 China

A new structure of ESKD (expert system based on knowledge discovery system KD (D&K)) is first presented on the basis of KD (D&K)-a synthesized knowledge discovery system based on double-base (database and knowledge base) cooperating mechanism. With all new features, ESKD may form a new research direction and provide a great probability for solving the wealth of knowledge in the knowledge base. The general structural frame of ESKD and some sub-systems among ESKD have been described, and the dynamic knowledge base based on double-base cooperating mechanism has been emphased on. According to the result of demonstrative experi- ment, the structure of ESKD is effective and feasible.

关键词： knowledge discovery expert system dynamic knowledge base, double-base cooperating mechanism

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Research of united model of knowledge discovery state space and its application

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Journal of Systems Engineering and Electronics 2005年第4期16卷 875-880页

作者： You Fucheng Song Wei Yang Bingru Computer Dept. of Beijing Inst. of Graphic Communication Beijing 102600 P. R. China School of Information Engineering Beijing Univ. of Science and Technology Beijing 100083 P. R. China

There are both associations and differences between structured and unstructured data mining. How to unite them together to be a united theoretical framework and to guide the research of knowledge discovery and data mining has become an urgent problem to be solved. On the base of analysis and study of existing research results, the united model of knowledge discovery state space （UMKDSS） is presented, and the structured data mining and the complex type data mining are associated together. UMKDSS can provide theoretical guidance for complex type data mining. An application example of UMKDSS is given at last.

关键词： knowledge discovery unstructured data knowledge template.

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New construction for expert system based on innovative knowledge discovery technology

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Science in China(Series F) 2007年第1期50卷 29-40页

作者： YANG BingRu SONG Wei XU ZhangYan School of Information Engineering University of Science and Technology Beijing Beijing 10083 China

knowledge acquisition Is the bottleneck of expert system. To solve this problem, KD （D＆K）, which is a comprehensive knowledge discovery process model coopersting both database and knowledge base, and related technology are proposed. Then based on KD （D＆K） and related technology, the new construction of Expert System based on knowledge discovery （ESKD） Is proposed. As the key knowledge acqulsltlon component of ESKD, KD （D＆K） Is composed of KDD＊ and KDK＊. KDD＊- the new process model based on double bases cooperating mechanism; KDK＊- the new process model based on double-basis fusion mechanism are Introduced, respectively. The overall framework of ESKD Is proposed. Some sub-systems and dynamic knowledge base system are discussed. Flnelly, the effectiveness and advantages of ESKD are tested In a real-world agriculture database. We hope that ESKD may be useful for the new generation of expert systems.

关键词： knowledge discovery double bases cooperating mechanism double-basis fusion mechanism KD (D&K) expert system ESKD

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Applying Logic Programming to knowledge discovery on the Internet

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 320-325页

作者： Cheng Xi,Feng Gang,Hou Yin Bin Institute of Computer Information and Technology , Xi’an Jiaotong University, Xi’an 710049, China Institute of Computer Information and Technology Xi’an Jiaotong University Xi’an China

LP (Logic Programming) has been successfully applied to knowledge discovery in many fields. The execution of the LP is based on the evaluation of the first order predicate. Usually the information involved in the predicates are local and homogenous, thus the evaluation process is relatively simple. However, the evaluation process become much more complicated when applied to KDD on the Internet where the information involved in the predicates maybe heterogeneous and distributed over many different sits. Therefor, we try to attack the problem in a multi agent system's framework so that the logic program can be written in a site independent style and deal easily with heterogeneous represented information.

关键词： logic programming knowledge discovery internet

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A new knowledge discovery method for scientific and technologic database

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Journal of University of Science and Technology Beijing 2002年第3期9卷 237-240页

作者： DezhengZhang LianyingSun 等 InformationEngineeringSchool UniversityofScienceandTechnologyBeijingBeijing100083China ChinaUniversityofMiningandTechnology Beijing100083China

A new algorithm for the knowledge discovery based on statistic inductionlogic is proposed, and the validity of the methods is verified by examples. The method is suitablefor a large range of knowledge discovery applications in the studying of causal relation,uncertainty knowledge acquisition and principal factors analyzing. The language filed description ofthe state space makes the algorithm robust in the adaptation with easier understandable results,which are isomotopy with natural language in the topologic space.

关键词： knowledge discovery statistic induction fuzzy language field

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knowledge discovery in Maintenance Record of FMS Equipment for Diagnosing

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Journal of Beijing Institute of Technology 2000年第1期9卷 55-60页

作者：朱小燕侯立华唐水源北京理工大学机械工程与自动化学院北京100081

To discover the knowledge of fault diagnosis in maintenance record of flexible manufacture system(FMS) equipment. An algorithm (process) was presented, which consists of ① preparatory phase in which some items in maintenance record are selected and decomposed into associated concepts and attributes, and ② discovering and establishing process, in which some possible relationships between the concepts and attributes can be established and knowledge is formulated. The rich diagnosis knowledge in maintenance record was captured through applying the method. An application of the method to the diagnosis system for FMS equipment showed that the approach is correct and effective.

关键词： knowledge discovery flexible manufacture system(FMS) fault diagnosis main tenance record

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knowledge discovery method for feature-decision level fusion of multiple classifiers

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Journal of Southeast University(English Edition) 2006年第2期22卷 222-227页

作者：孙亮韩崇昭西安交通大学电子与信息工程学院解放军信息工程大学理学院郑州450001

To improve the performance of the multiple classifier system, a new method of feature-decision level fusion is proposed based on knowledge discovery. In the new method, the base classifiers operate on different feature spaces and their types depend on different measures of between-class separability. The uncertainty measures corresponding to each output of each base classifier are induced from the established decision tables （DTs） in the form of mass function in the Dempster-Shafer theory （DST）. Furthermore, an effective fusion framework is built at the feature-decision level on the basis of a generalized rough set model and the DST. The experiment for the classification of hyperspectral remote sensing images shows that the performance of the classification can be improved by the proposed method compared with that of plurality voting （PV）.

关键词： multiple classifier fusion knowledge discovery Dempster-Shafer theory generalized rough set hyperspectral

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knowledge discovery in Learning Management System Using Piecewise Linear Regression

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Circuits and Systems 2016年第11期7卷 3862-3873页

作者： S. Mythili R. Pradeep Kumar P. Nagabhushan Department of Computer Science United Institute of Technology Anna University Chennai India Department of Computer Science University of Mysore Mysore India

Recent developments in database technology have seen a wide variety of data being stored in huge collections. The wide variety makes the analysis tasks of a generic database a strenuous task in knowledge discovery. One approach is to summarize large datasets in such a way that the resulting summary dataset is of manageable size. Histogram has received significant attention as summarization/representative object for large database. But, it suffers from computational and space complexity. In this paper, we propose an idea to transform the histogram object into a Piecewise Linear Regression (PLR) line object and suggest that PLR objects can be less computational and storage intensive while compared to those of histograms. On the other hand to carry out a cluster analysis, we propose a distance measure for computing the distance between the PLR lines. Case study is presented based on the real data of online education system LMS. This demonstrates that PLR is a powerful knowledge representative for very large database.

关键词： Histogram Piecewise Linear Regression knowledge discovery Big Data Cluster Analysis

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knowledge discovery for A Temporal Prediction Rules

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电脑知识与技术 2007年第10期2卷 1067-1067,1144页

作者： TIAN Yuan1,MENG Zhi-qing2 (1.Computer Department,Hunan Institute of Engineering,Xiangtan 411105,China 2.College of Business and Administration,Zhejiang University of Technology,Hangzhou 310032,China) Computer Department Hunan Institute of EngineeringXiangtan 411105China College of Business and Administration Zhejiang University of TechnologyHangzhou 310032China

We are obtaining a large database of some objects' records of fluctuations of a stock market,medical treatments,changes of weather in certain area and so on,where each record consists of multi-attributes taking multi-values changing with time. Our work is motivated by prediction,which is different from the work in 4,5,8,11. We want to help learn from past data and make informed decisions for the future. This paper is very significant to perfect the theory and the development of the temporal data mining.

关键词： Data mining knowledge discovery temporal type time granularity temporal association rule

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