关于马尔堡病毒一旦进入人群的行为的信息贫乏。
Information on the behaviour of Marburg virus once it enters a human population is sparse.
因此，面对“数据丰富，但信息贫乏”的挑战，数据挖掘和知识发现技术应运而生。
So in facing of challenge of "Much data, but little information", there come Data Mining (DM) and Knowledge Discovery in Database (KDD).
今天，所谓的数字差别，即把世界划分为信息富有地区和信息贫乏地区，非常引人瞩目。
A great deal of attention is being paid today to the so-called digital divide—the division of the world into the info(information) rich and the info poor.
由于信息贫乏，再加上健康保险出现的逆向选择和道德风险问题，保健市场可能是无效率的。
Health markets may be inefficient because of poor information, and because of the adverse selection and moral hazard problems associated with health insurance.
大多数广告只是在信息内容上太贫乏，而在情感暗示细节上太丰富，无法逐字阅读。
Most adverts are just too meagre in informative content and too rich in emotional suggestive detail to be read literally.
铺天盖地的无意义信息是创造力贫乏的结果。
To deliver a powerful message pointlessly is the result of weak creative content.
数据泛滥“、”信息过载“而”知识贫乏的矛盾日益突显。
Data is flush ", "information overload" and "knowledge is poor contradictory increasingly dash forward show.
然而，面对如此大量的数据也伴随着一些问题出现，最常见的就是所谓的“信息爆炸，但知识贫乏”，这表明现在的社会中信息量已经是非常的庞大，但是它们被利用的很少。
However, many problems go with huge data, and "information exploded, but poor knowledge" is well-known, which means that the information of society is large, but the application of them is little.
而数据挖掘这种新技术是为了解决当前“信息丰富而知识贫乏”的问题而出现的。
A new technology, data mining, is produced to solve the problem about abundance information but poverty of knowledge.
在信息社会里，信息的充裕也造成了关注的贫乏和信任的缺失。
In information society, the abundance of information also results in the lack of attention and trust.
当电子商务在企业中得到应用时，企业信息系统将产生大量数据，这些激增的电子化数据意味着人们面临“数据丰富而知识贫乏”的问题。
When it is applied to enterprises, the information system gets exploding quantitative data, which indicates that people confront the problem of ample data and poor knowledge.
当电子商务在企业中得到应用时，企业信息系统将产生大量数据，这些激增的电子化数据意味着人们面临“数据丰富而知识贫乏”的问题。
When it is applied to enterprises, the information system gets exploding quantitative data, which indicates that people confront the problem of ample data and poor knowledge.
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