Feature-based Image Data Mining Models

In the past years, there is a quick development in the technology. With the data exploding, it iseager to find a tool to discover useful knowledge from the huge data quickly and effectively. DataMining is the right tool and becoming a promising and prosperous subject.Data Mining provides us a new way to resolve the problem that we can't make the best ofincreasing huge data. Multimedia Data Mining is the technique to be used to discover the implicit,effective, valuable and intelligible pattern from a large amount of image data by analysising thefeature of seeing and hearing, and then to discover knowledge and obtain the tendency andassociation among the events. And it can also provide us the ability of decision-supporting toresolve the problem. The target of the paper is to studying deeply how to improve the function of DMS. An Image-Data-Model is put forward which the function of each module is introduced effectively, a serial ofquestions on Images Data Mining are explained in detail. This model can retrieval information on the web page automatically through image retrieval ,then save the data into the feature-base. Receiving the ask for extracting, the model can transmitthe result to user after carrying on retrievaling . This paper has done the following work mainly:1. Discussing the basic theory of Data Mining and Knowledge Discovery.Data Mining is a procedure that extracts the potential, valuable knowledge (model or the rule)from a large amount of data. It is the core that research various kinds of methods and technologyof knowledge discovery mainly. Web Mining is the course of collection information or knowledgefrom the Web. It applies common thought and method of data mining to Web. 2. The foundation of feature-base is the premise of IDM. The paper presents the data model anddata type of the feature-base, and elaborates the presentation of image features, including color,texture, shape and space features, and so on. The feature-base can effectively support feature-basedretrieval of image.3. The paper puts forward a model of Feature-Based DM system, IDMM. It presents its structure,data platform, main components, and discusses the construct of image data feature-cube.This paper mainly consists of 6 chapters. Chapter 1,the paper discusses the international anddomestic development and tendency of MDM, then introduces the mainly content and the chapterorganization. Chapter 2 gives a brief discussion of Data Mining and Knowledge. Chapter 3, Thepaper presents the data model and data type of the feature-base, and elaborates the presentation ofimage features. Chapter 4 gives a brief discussion of Mutimedia Object Query Language and theapproach to match image features. Chapter 5 puts forward a model of Feature-Based Data MiningSystem, Image Data Mining Model. It presents its structure, data platform, main components, anddiscusses the construct of image data feature-cube . In the end, further research of subjects arepresented.