下列哪些属于资料探勘（Data Mining）常见的应用技术？（）

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．intractable

B．emerging

C．easy

D．scabrous

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．organizing

B．summarizing

C．composing

D．constituting

Business intelligence （BI） is the integrated application of data warehouse, data mining and （73）．

A.OLAP

B.OLTP

C.MRPII

D.CMS

Business intelligence (BI) is the integrated application of data warehouse data mining and ______

A．OLAP

B．OLTP

C．MRPII

D．CMS

● Business intelligence (BI) is the integrated application of data warehouse, data mining and (73)．

（73）

A．OLAP

B．OLTP

C．MRPII

D．CMS．