Using ontology and context knowledge in data mining is one of the effective waies to improve data mining accurateness,which can add general knowledge and certain knowledge in decision factors. How to apply ontology and context knowledge in data mining is discussed in this paper.

在數(shù)據(jù)挖掘中使用本體和上下文知識(shí)能夠?qū)⑵毡榈闹R(shí)和特定的知識(shí)引入數(shù)據(jù)挖掘的決策因素中久久对白，是增進(jìn)數(shù)據(jù)挖掘準(zhǔn)確性的有效手段欧美乱色伦的图片区，同時(shí)也是數(shù)據(jù)挖掘領(lǐng)域研究的熱點(diǎn)和難點(diǎn)之一99久久婷婷国产综合精品青。

During the study of the subject, I have an all-around understanding about the theory and application of Data Mining through reading bookmaking and papers in this field.Based on the research on algorithms, we realized one example following the workflow of Data Mining, which helps us understand the application of the technology.KEYWORDS: data mining , association rule , apriori algorithm

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By analyzing transplant and reuse of data mining platform,an opening development platform for data mining was designed and set up,which was based on CWM and used PMML to describe data mining Model.

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The main contents are listed as follows: Analyse and research of the data mining technique. the dissertation summarizes,analyses and studies the current status of the data mining technique in our native country and overseas widely and roundly research . The definiens and orientation of the data mining is reviewed in brief first.

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The dissertationsummarizes,analyses and studies the current status of the data mining technique inour native country and overseas widely and roundly and then summarizes anddiscusses its developmental trends and hot research fields. The definiens andorientation of the data mining is reviewed in brief first. Based on the basic conceptsof data mining,this dissertation classifies and summarizes the objects of data miningand the common techniques in detail.

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Seriously study the relevant knowledge of data mining, data mining algorithms and analysis of how data mining,and based on the open source software Weka data entry, classification, clustering, association, meta-learning programs and attributes,Examples filter algorithms for analysis, and the second on how to use the Weka done for the development of an in-depth and meticulous research.

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It analyzes and researches the data pretreatment in Web log mining, the data pretreatment technology of the Web log data Mining being analysis and implementation,that is Pre-work of data mining in associational rules and clustering algorithm.

分析研究傳統(tǒng)的數(shù)據(jù)預(yù)處理過程性a免费视频\，在Web日志的數(shù)據(jù)結(jié)構(gòu)挖掘中的數(shù)據(jù)預(yù)處理技術(shù)進(jìn)行了分析與實(shí)現(xiàn)，是實(shí)現(xiàn)關(guān)聯(lián)規(guī)則與聚類數(shù)據(jù)挖掘的前期工作又硬又粗又长一级A片。

Sixthly, it also introduces knowledge management technology to resolve the analysis of custom checking center operating flow, innovation research of Customs Business and consumer relationship management. It is a long-term worthy project to continue this study on the establishment of custom risk management by data mining. There are still many further works to do, such as more effective optimizing arithmetic, text data mining, super-huge data warehouse based on UNIX and Oracle, data mining application on web, building and application of cosmical database, custom knowledge management system, and so on.

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The association rules of the traditional data mining technique are used to mining higher appearance frequency and support for itemsets. If the association rules are applied to mining the outbreak symptom of excrescent disease, the support of partly outbreak symptom not high will be ridded during the mining process. The reason is that the number of excrescent disease patients is less than the number of ordinary patients. In addition, the outbreak symptom of excrescent disease may have the successively order of time happened, for example, symptom B will just take place sometime of interval later after symptom A. The data mining techniques that generally direct against the higher appearance frequency itemsets and only consider the single dimensional sequential pattern cannot totally search the pattern of outbreak symptom of excrescent disease, and cannot also provide related reference information to prescribe medicine for nursing staff at that time.

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This article expound data minings definition、character人体尤物性爱视频网站、function,and introduce tools of data mining,and discuss methods of data mining and relation between data mining and knowledge finding.

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