The multi point prediction model with poor data information is established and the practical example is analyzed. It shows the multi point model is a new approach to …
进行了实例建模与分析，结果表明，多点预测模型为解决少数据，多因子的动态系统的预测与分析提供了新的途径。
This paper extends the single deformation prediction model into multi point model. The multi point prediction model with poor data information is established and the practical example is analyzed.
本文将单点的变形预测模型扩展为多点的变形预测模型，建立了贫信息条件下的多点预测模型。
Poor data merely turns potentially highly valuable information into worthless byte streams.
糟糕数据只会让具有高潜在价值的信息成为毫无价值的字节流。
Ideally, the indexes provide enough information to read in only the needed rows, but sometimes queries (through poor design or the nature of the data) require large chunks of the table to be read.
理想情况下，索引提供了足够多的信息，可以只读入所需要的行，但是有时候查询(设计不佳或数据本性使然)需要读取表中大量数据。
Data mining results from the situation described as data rich but information poor, and within only several years, has attracted many people in different fields.
数据丰富而知识贫乏的状况导致了数据挖掘的出现，并且在短短的几年内，引起了许多领域的人们的极大兴趣。
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.
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。
Data is flush ", "information overload" and "knowledge is poor contradictory increasingly dash forward show.
数据泛滥“、”信息过载“而”知识贫乏的矛盾日益突显。
Spatial domain watermarking algorithm is relatively simple, the volume of data is relatively small, computing speed is usually faster, but the robustness of the information hidden is poor.
空间域水印算法比较简单，数据量较小，计算速度通常较快，但是信息隐藏的鲁棒性差。
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。
The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed.
分析了数据库中“贫”信息数据的特点，以及“贫”信息数据挖掘问题的要求。
Using AIS data can get such information. But for that there is not a standard for the ship drivers when they input the destinations of the ships, it has poor readability for the machine.
利用AIS信息可以得到出此信息，由于船舶驾驶人员在AIS上输入目的港信息时由于没有相应的标准，造成对于计算机的可读性较低。
Gray theory is a new method for researching little data, uncertainty and poor information. It has features that are simple, easy to learn, high accuracy and feasibility. It is applied very broad.
灰色系统理论是一种研究少数据、贫信息不确定性问题的新方法，它有着简便、易学、准确性和可行性高的特点，因此应用领域十分宽广。
Gray theory is a new method for researching little data, uncertainty and poor information. It has features that are simple, easy to learn, high accuracy and feasibility. It is applied very broad.
灰色系统理论是一种研究少数据、贫信息不确定性问题的新方法，它有着简便、易学、准确性和可行性高的特点，因此应用领域十分宽广。
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