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
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
相关考题：
You are the database administrator for a financial services company. Employees enter data 24 hours a day into a SQL Server 2000 database. These employees report slower response times when new account information is gathered from branch offices and added to the database. You currently use the following BULK INSERT statement to add the account information:BULK INSERT finance.dbo.customersFROM ‘di\bulk\accts143_10141000.txt’WITH DATAFILETYPE = ‘char’,FIELD/TERMINATOR = ‘\t’,ROWTERMINATOR = ‘\n,’TABLOCKYou want to ensure that response times do not slow when new account information is added to the database. What should you do?A．Drop the indexes for the customers table before the data load, and then re-create the indexes after the data load is complete.B．Remove the TABLOCK option from the BULK INSERT statement.C．Add the BATCHSIZE option to the BULK INSERT statement and then set the option equal to 10 percent of the number of rows to be loaded.D．Add the ROWS_PER_BATCH option to the BULK INSERT statement and then set the option equal to 10 percent of the number of rows to be loaded.
You are a database administrator in the Los Angeles branch office of a specialty foods supplier. A mainframe. database at the headquarters contains all company data. Each branch office contains a SQL Server 2000 computer that imports regional data from the mainframe. database.The server in Los Angeles contains a Data Transformation Services (DTS) package that uses OLE DB to connect to the company's mainframe. database. The DTS package extracts and transforms data about buyers and products for that region. The DTS package then writes the data to the SQL Server database in Los Angeles.You need to configure a SQL Server computer for the new branch office in Sydney. You want to copy the Los Angeles package and modify it so that it writes data to the SQL Server database in Sydney.You use the DTS Designer to modify the DTS package so that it imports regional data from the mainframe. database to the server in Sydney. The modified DTS package runs successfully on the server in Los Angeles. You save this DTS package to the server in Sydney, but the server in Sydney cannot connect to the mainframe. database.You want to enable the server in Sydney to connect to the mainframe. database. What should you do?A．Change the connection properties in the DTS package so that the package uses new login credentials to connect to the mainframe. database.B．Modify the workflow in the DTS package so that the server in Sydney is included.C．On the server in Sydney, install an OLE DB provider for the mainframe. database.D．On the server in Sydney, delete and then re-create the DTS package.
A word processor enables you to create a(66)., store it electronically on a disk, display it on a screen, modify it by entering commands and characters from the keyboard, and print it on a printer.A．fileB．documentC．textD．paper
Youhavecreatedascriptintherecoverycatalogcalledbackup_database.Whichofthefollowingcommandswouldsuccessfullyexecutethatscript?() A.run{openscriptbackup_database；runscriptbackup_database}B.run{engagescriptbackup_database；}C.run{runscriptbackup_database；}D.Run{executescriptbackup_database；}E.Thenamebackup_databaseisaninvalidnameforanRMANscript.TryingtorunitfromRMAN wouldresultinanerror.
A word processor enables you to create a(66), store it electronically on a disk, display it on a screen, modify it by entering commands and characters from the keyboard, and print it on a printer.A．fileB．documentC．textD．paper
长期存储在计算机内，有组织的、可共享的大量数据的集合是（）。 A、数据（Data） B、数据库（DataBase） C、数据库管理系统（DBMS） D、数据库系统（DBS）A．数据（Data）B．数据库（DataBase）C．数据库管理系统（DBMS）D．数据库系统（DBS）
长期存储在计算机内，有组织的、可共享的大量数据的集合是（）。A．数据（Data）B．数据库（DataBase）C．数据库管理系统（DBMS）D．数据库系统（DBS）