Wavelet Application in Algorithms of Data Mining

Wavelets have been widely applied in such research areas as image processing, computer vision, network management and data mining. Wavelets have many favorable properties, which are hierarchical and multiresolution decomposition structure, linear time and space complexity of the transformations. The paper presents wavelet application on the algorithms of data mining, in cluding as clustering, classification, distributed data mining, similarity search, approximate query processing, visualization and so on. Finally, the paper concludes by discussing the impact of wavelets on data mining research and outlining potential future research directions and applications.     

Research on Mapping Method of Customer Need Information in Product Family Improvement

Aiming at ensuring that product family improvement is based on customer needs while taking full advantage of enterprise history database, firstly, customer needs in the product family improvement are expressed. Then a method of realizing the mapping of customer needs to functional requirements is presented, which is based on quality function development and association rule mining. Finally, an example illustrates the good application of the method.     

Regression Applied in Continuous Mathematical Forecast

Data Mining can distill the connotative, unknown and potential value information or pattern from many data. It is a problem that must be settled during the developing of Decision Support System how to discover knowledge from Data Warehouse. In order to realize the continuous mathematical forecast that will be used in the Marketing Decision Support System for Industrial Enterprise, the authors use the method of regression to discuss how to design the algorithm for Data Mining, how to design the model for Data Mining, and so on. When the algorithm applied to the sales forecast, the result processing to simulation data indicates it can realize the expected effect.     

Development of House Architectural Area Computing and Plotting System

The exact computing of house architectural area and apportionment of area is strongly related to the actual interests of people. If it is done manually,there are many problem such as longer time spending, more workload, requiring detailed verification, nonstandard calculating report. Using ActiveX automation and ADO techniques, the house architectural area computing and plotting system was developed under Autocad R14 environment with VB 6.0 and Access database in order to solve above problem. The developed system can automatically compute house architectural area and apportionment of area for each floor of each building and can print the related data report and drawing. The system works well in many departments of house measurement. Several key technical problem of the system are discussed.     

Adaptive Intrusion Detection System Based on Agent and Data Mining

Intrusion detection system is an essential component of network security protection mechanisms. Most intrusion detection system can not adapt the variation of network environment. Aiming at this problem, an adaptive strategy that composed of condition space and strategy space is proposed. The condition space describes the network environment and the strategy space describes the strategy. There is an exclusive strategy corresponds to a certain environment state in condition space. On the base of the adaptive strategy, an adaptive intrusion detection system based on agent and data mining is designed. The simulation experiments indicate that the adaptive strategy is effective.     

THE APPLICATION OF SAND-GRAVEL-CUSHION TECHNIOUE IN THE FOUNDATION OF MOUNTAINOUS AREA

This paper presents the application of sand-gravel-cushion technique in thefoundation of mountainous area inhomogeneity and analyges non-uniformity of the foundation inmountainous,It is different from the traditional theory of sand-cushion,This is a new developmentand able to make a full use of the rock debris fill and the combinational soil-rock foundation in the mountainous areas.     

Representation of Uncertain Area in Image Based on Cloud-model

Aiming at the problem of representation of regions in the process of image processing, the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model. In two-dimension universe of discourse of image, the linguistic term of the polygons, which have uncertain edge, can be accomplished by relaxation iteration. The linguistic term of the polygons can be considered Cloud-core of Cloud-model. Based on the characteristics of pixels of transition region of fuzzy edge, Object-clouds of polygons can be constructed by Backward-cloud-generator. So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud. Experiments testify the method. It enriches the cloud theory, and proposes a new idea for image comprehending and analyzing, especially remote sensing image.     

山区庄园式开发模式研究——以河北省元氏县为例

本文对河北省元氏县山区庄园式开发模式进行了论述,该模式通过山区“四荒”(荒山、荒坡、荒沟、荒滩)地使用权的拍卖调动了群众治理荒山的积极性,将“庄”与“园”相结合,对山区进行综合性、立体化治理,实现了生态效益、经济效益和社会效益的协调发展,是实现山区农民脱贫致富的有效途径。     

东北地区农机制造业的地位和作用及发展措施

农业装备是农业现代化的重要物质基础,是提高农业生产效率、保障资源充分与有效利用和环境友好与可持续发展的有效工具,是用工业化和信息化改造传统农业的有效载体,是装备"三农"的战略产业,对保障国家粮食安全、农民增收、农业增效、农村发展起着重要作用.为此,分析了农机制造在机械工业、东北区域经济中的地位与作用;阐述了农机制造业存在的问题;鉴于目前东北地区农机制造业的现状,提出了其今后发展的措施.     

武汉市青山地区老粘土的变形参数及承载性能研究

基于室内土工试验和现场试验成果，对武汉市青山地区的老粘土地基的变形参数进行研究；利用ANSYS有限元软件对老粘土地基进行数值模拟，并与构筑物地基沉降实测值对比，对地基承载性能进行研究。在小于600kPa荷载的作用下，可用Ew作为沉降计算参数；老粘土具有较高的承载能力，由老粘土构成的地基，其承载能力可按《建筑地基基础设计规范》中推荐的公式计算。