查询词典 data mining

Through the decomposition of network operation behavior and the data mining of various data,forms the most basic smallest unit of network operation behavior（DNA of network action description）,uses the Teiresias evolution algorithm to carry on the overall situation ergodicity combination to produce the new description language.

通过对网络操作行为的分解和对各种数据的挖掘，形成最基本最小的网络行为语言描述单元，再使用Teiresias进化算法对其进行全局遍历性的组合，计算产生新的描述语言，进行可行性判断后，对可行的结果进行规则匹配并进行风险评估，产生新的防御规则，从而达到入侵防御系统规则库完备的目的。

The essence of data mining is based on the function of extracting undiscovered but useful knowledge from the mass amount of, incomplete, unorderly, fuzzy and stochastic data.

数据挖掘的实施是从大量的、不完全的、有噪声的、模糊的、随机的数据中，提取隐含在其中，人们事先并不知道，但又是潜在有用的信息和知识的过程。

Through simulation and computation, some critical values to contral interferences are obtained. These values have directive significance to the design and deployment of WRAN.(4) New methods to measure and analyze spectrum aredevelopedAccording to the shortages of previous spectrum measurements, new methods to measure spectrum occupancy in wide-band and multi-point synchronously is proposed in this dissertation, and the tests last a whole week; the relativities of licensed services are considered when test points are selected. More importantly, data mining and in-depth analysis are carried out with the huge amounts of test data, and a channel analysis method using Channel Vacancy Duration and Service Congestion Rate are proposed. The spectrum relativities of 3-dimension in time, space and frequency are researched also. The correlativity between channel state and history information is discoved, and which will provide the scientific basis to channel modeling, spectrum analysis and decision of CR users.

4提出了频谱测量与分析的新方法针对以前频谱测量工作存在的不足，本文提出了多点同时广域频谱测量方法，测量工作持续了一周的时间，同时考虑了测量地点的选取和频谱授权业务之间的相关性；对测量得到的海量数据进行了数据挖掘和深度分析，提出了使用信道空闲时间(Channel VacancyDuration，CVD)和业务拥塞率(Service Congestion Rate，SCR)进行信道分析的方法，研究了频谱之间的时间、空间、和频率三维立体的相关性，发现了信道状态和历史信息的关联性，为CR用户的信道建模、频谱分析和决策提供了科学的理论依据。

Data mining analyzes the present data with auto or semi-auto methods, deciphers new facts and finds out some unknown new relations to rule out some meaningful relations or principals, so that the useful information gets extracted and sent to decision-makers as decision making techniques.

而资料采矿正是从现存资料中，利用自动化或半自动的方式进行分析，剖析出新事实及发现专家们尚未知晓的新关系，以寻找出有意义的关系或法则，并且将萃取出的有用资讯提供给主管做决定性决策的技术。

Data mining is a process that discovers knowledge from mass data and information.

它对人们的决策和行为具有重要的指导作用。

The data mining is excavates from the magnanimous data possibly has the latent value information technology.

数据挖掘就是从海量的数据中挖掘出可能有潜在价值的信息的技术。

The data mining is excavates from the magnanimous data possibly has the latent value information technology.

摘要数据挖掘就是从海量的数据中挖掘出可能有潜在价值的信息的技术。

Data mining is a process that extracts interesting and available knowledge from a large amount of data.

数据挖掘是一个从大量数据中提取有用的、有趣的知识的处理过程。

The technology of data mining refers to finding out some unknown and valuable rules from a large number of credit card transaction data and it is a strong tool for banks to provide individuated service of credit cards.

数据挖掘技术能够从海量的信用卡业务存储数据中发现一些未知的、有价值的规律，无疑将成为银行提供个性化的信用卡服务的强有力工具。

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information.

数据挖掘的过程中分析数据，从不同的角度和总结它变成有用的信息。

Chimborazo and Cotopaxi, took me by the hand.

越过琴博腊索山和科托帕克西山。

This car is in a good condition.

这辆车的状况很好。