A. Storing data B. Deleting data C. Analyzing and extracting useful information from data D. Ignoring data 相关知识点: 试题来源: 解析 C。本题考查数据挖掘的概念。数据挖掘是指从数据中分析和提取有用信息。选项 A“Storing data”(存储数据)错误;选项 B“Deleting data”(删除数据)错误;选项 D“Igno...
“只需讲过去的客户一次切换成人才一词就可以了”。“客户获取”就相当于“人才获取”,“客户保留”就相当于“人才保留”,“客户损耗”就相当于“人才流失”,“客户升级”就相当于“人才提升(吉恩·保罗·艾森《People Analysis In The Big Data》) 数据从哪里来? 人力相关大数据可分为三类:人才数据、公司数据、...
In big data analysis, we often need to ___ large amounts of data quickly. A. deal with B. do with C. work with D. cope with 相关知识点: 试题来源: 解析 A。“deal with”处理,符合语境,在大数据分析中我们经常需要快速处理大量数据。“do with”与“deal with”意思相近,但“do with”常...
In big data analysis, we should use appropriate tools and methods to process the data. "Appropriate" means ___. A. suitable B. unsuitable C. incorrect D. righteous 相关知识点: 试题来源: 解析 A。本题考查形容词的词义辨析。suitable 表示合适的,与“appropriate”(适当的、合适的)意思相同。
In big data analysis, what is the role of algorithms? A. To process data quickly B. To find patterns in data C. To make predictions D. All of the above 相关知识点: 试题来源: 解析 D。算法在大数据分析中可以快速处理数据、发现数据中的模式以及进行预测。
In big data analysis, we need to collect a large amount of data to ensure the accuracy of the results. This means we should be ___ in data collection. A. careful B. carefully C. more careful D. most careful 相关知识点: 试题来源: 解析 A。本题考查形容词的用法。be 动词后面跟...
In big data analysis, we often deal with ___ of different types. A. element B. elements C. factor D. factors 相关知识点: 试题来源: 解析 B。element 是元素的意思;elements 是复数形式;factor 是因素的意思;大数据分析中,我们经常处理不同类型的元素,element 是可数名词,这里要用复数形式。反馈 ...
C。解析:这里需要一个形容词来修饰名词“analysis”。选项A“inform”是动词,意为“通知”,不能修饰名词,所以不选A。选项B“information”是名词,意为“信息”,不能修饰“analysis”,不选B。选项D“informatively”是副词,不能修饰名词,而选项C“informative”是形容词,由名词“information”派生而来,意为“提供...
Big data is available in structured, unstructured and semi-structured data format. Relational database has fails to store this multi-structured data. Apache Hadoop is efficient, robust, reliable and scalable framework to store, process, transforms and extract big data. Hadoop framework is open ...
The analysis of big data is a key process in intelligent manufacturing. At present, the application of big data to improve the manufacturing process is divided into ( ) levels. A. Descriptive analysis B. Predictive analysis C. Guidance analysis D. Practical analysis ...