This paper discusses the ideas for designing modern information processing system,in which we emphasize the observation about the advantages and disadvantages while designing large-scale open system using MAS theory. After brief review and analysis about the study situations or limitations of present information processing techniques and DAI/MAS,this paper discusses many problems in the combination between MAS and information processing. Finally,a brand new MAS organization structural model and new ideas for devising information processing systems are put forward with the consideration about the limitations of MAS' organization structure and the strong requirements of feasibility and efficiency.
Data-mining is a kind of solution for solving the problem of information exploding. Classification and prediction belong to the most fundamental tasks in data-mining field. Many experiments have showed that the results of ensemble of learning methods are generally better than those of single learning methods under most of the time. In the sense,it is of great value to introduce ensemble of learning methods to data mining. This paper introduces data mining and ensemble of learning methods respectively,along with the analysis and formulation about the role ensemble of learning methods can act in some important practicing aspects of data mining:Text mining,multi-media information mining and web mining.