Research And Application Of Distributed Data Mining Model Based On Multi-Agent

Today, the world is surrounded by a large amount of information. With the rapid development of database and computer network technology, large amounts of data are stored in many distributed databases instead of a single database, and data is growing in an index series explosion mode. This situation urgently needs an effective way to deal with and mining these increasingly large distributed data. And the demand promotes the development of Distributed Data Mining technology.The Multi-Agent technology is suitable for the complex distributed problems. In Data Mining System based on Multi-Agent, Agents on different database will be working according to the user's requirements, and transferring the result to the users. In this way, the large amounts of data in every database avoid being moved. So there are advantages of using the Multi-Agent technology in the Distributed Data Mining Systems. This thesis mainly studies Distributed Data Mining methods based on Multi-Agent, establishes a system model and design the function, structure and algorithm of each module. A simulated experiment is done that building a prototype system which in order to handling the problem of power load forecasting. The main works of the thesis are as follows:(1) The thesis introduces the research background of the Multi-Agent technology that been used in Distributed Data Mining, and narrates several major Distributed Data Mining technology from the aspect of distributed computing technology. Especially, the Distributed Data Mining based on Multi-Agent technology and the situations of the domestic and international research are illustrated in this thesis.(2) The thesis researches the basic theories on data mining and Agent technology, including the definition, methods, basic principle of data mining and the concept, characteristics and structure of Agent. The organizational structure of Multi-Agent system and the architecture of Distributed Data Mining are discussed.(3) A Distributed Data Mining model based on Multi-Agent is given. Three main Agents:the Algorithm Analysis Agent, the Task Prediction Agent, and the Load-Balancing Agent are designed in the model. The system model is divided into three layers. They are the Service layer, the Task-scheduling layer and the User Interface layer. Every layer has themselves functions. The thesis also designs the structure and algorithms for each main module and analyzes the main work flow. In addition, the key technologies of system model and the main characteristic are explained and analyzed.(4) A simulation experiment about the Multi-Agent DDM model based on AATP is done, which is used for solving the problem of the power load forecasting. The experiment processes the real power load data and other relevant data of certain areas that provided by the European Intelligence Technology Network organization. At last, the thesis analyzes and contrasts the forecast load data and forecast performance, which shows the effectiveness and feasibility of this prototype system in power load forecasting problems.