下列哪些属于资料探勘（Data Mining）常见的应用技术？（）A、资料丛集（Data Clustering）B、类神经网络（Neural Network）C、购物篮分析（Market BasketAnalyses）D、资料分类（Data Classification）
下列哪些属于资料探勘（Data Mining）常见的应用技术？（）
- A、资料丛集（Data Clustering）
- B、类神经网络（Neural Network）
- C、购物篮分析（Market BasketAnalyses）
- D、资料分类（Data Classification）
相关考题：
● Business intelligence (BI) is the integrated application of data warehouse, data mining and (73)．（73）A．OLAPB．OLTPC．MRPIID．CMS．
Data mining is an(66)research field in database and artificial intelligence. In this paper, the data mining techniques are introduced broadly including its producing background, its application and its classification. The principal techniques used in the data mining are surveyed also, which include rule induction, decision(67), artificial(68)network, genetic algorithm, fuzzy technique, rough set and visualization technique. Association rule mining, classification rule mining, outlier mining and clustering method are discussed in detail. The research achievements in association rule, the shortcomings of association rule measure standards and its(69), the evaluation methods of classification rules are presented. Existing outlier mining approaches are introduced which include outlier mining approach based on statistics, distance-based outlier mining approach, data detection method for deviation, rule-based outlier mining approach and multi-strategy method. Finally, the applications of data mining to science research, financial investment, market, insurance, manufacturing industry and communication network management are introduced. The application(70)of data mining are described.A．intractableB．emergingC．easyD．scabrous
Business intelligence （BI） is the integrated application of data warehouse, data mining and （73）．A.OLAPB.OLTPC.MRPIID.CMS
Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and (1) it into useful information information that can be used to increase revenue, (2) costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It (3) users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.Although data mining is a (4) new term, the technology is not. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years. However, continuous innovations in computer processing power, disk storage, and statistical software are dramatically increasing the accuracy of analysis while driving (5) the cost.A．organizingB．summarizingC．composingD．constituting
Business intelligence (BI) is the integrated application of data warehouse data mining and ______A．OLAPB．OLTPC．MRPIID．CMS
We have data mining and loading tools for both maintenance task data and component data, which means a considerable ___ in implementation time.A.stopB.savingC.consumptionD.economy
下列哪些属于资料探勘在顾客关系管理的应用？（）A、顾客获利率（CustomerProfitability）分析B、顾客之获取（CustomerAcquisition）分析C、交叉销售（Cross-Selling）推荐D、顾客区隔（CustomerSegmentation）分析
下列哪些属于顾客关系管理常用的技术？（）A、在线分析处理（OLAP）B、电话客服中心（Call Center）C、资料仓储（Data WarehousE.D、资料探勘（Data Mining）
You design a Business Intelligence （BI） solution by using SQL Server 2008. The solution includes a SQL Server 2008 Analysis Services （SSAS） database. The database contains a data mining structure that uses a SQL Server 2008 table as a data source. A table named OrderDetails contains detailed information on product sales. The OrderDetails table includes a column named Markup. You build a data mining model by using the Microsoft Decision Trees algorithm. You classify Markup as discretized content. The algorithm produces a large number of branches for Markup and results in low confidence ratings on predictable columns. You need to verify whether the Markup values include inaccurate data. What should you do？ （）A、 Modify the content type of Markup as Continuous.B、 Create a data mining dimension in the SSAS database from OrderDetails.C、 Create a data profile by using SQL Server 2008 Integration Services （SSIS）.D、 Create a cube in SSAS. Use OrderDetails as a measure group. Recreate the data mining structure and mining model from the cube data.
多选题下列哪些属于资料探勘在顾客关系管理的应用？（）A顾客获利率（CustomerProfitability）分析B顾客之获取（CustomerAcquisition）分析C交叉销售（Cross-Selling）推荐D顾客区隔（CustomerSegmentation）分析
单选题You design a Business Intelligence （BI） solution by using SQL Server 2008. The solution includes a SQL Server 2008 Analysis Services （SSAS） database. The database contains a data mining structure that uses a SQL Server 2008 table as a data source. A table named OrderDetails contains detailed information on product sales. The OrderDetails table includes a column named Markup. You build a data mining model by using the Microsoft Decision Trees algorithm. You classify Markup as discretized content. The algorithm produces a large number of branches for Markup and results in low confidence ratings on predictable columns. You need to verify whether the Markup values include inaccurate data. What should you do？ （）A Modify the content type of Markup as Continuous.B Create a data mining dimension in the SSAS database from OrderDetails.C Create a data profile by using SQL Server 2008 Integration Services （SSIS）.D Create a cube in SSAS. Use OrderDetails as a measure group. Recreate the data mining structure and mining model from the cube data.
多选题下列哪些属于资料探勘（Data Mining）常见的应用技术？（）A资料丛集（Data Clustering）B类神经网络（Neural Network）C购物篮分析（Market BasketAnalyses）D资料分类（Data Classification）
多选题下列哪些属于顾客关系管理常用的技术？（）A在线分析处理（OLAP）B电话客服中心（Call Center）C资料仓储（Data WarehousE.D资料探勘（Data Mining）