查询词典 data-base

This paper is that dynamically demonstrates the six algorithms implementation auxiliary teaching software of the data structure It may adapt the different demand that the reader demands the algorithm data-in and the process execution control mode. During the demonstration of the algorithm implementation on the computer screen, it can appear the change status of the data logical organization or the memory structure change condition or the stack change condition in the recursion algorithm implementation.

本论文是一个动态演示数据结构中六个算法执行过程的辅助教学软件，它可适应读者对算法的输入数据和过程执行的控制方式的不同需求，在计算机的屏幕上显示算法执行过程中，可以显现数据的逻辑结构或存储结构的变化状况或递归算法执行过程中栈的变化状况。

The second capacity management approach to consider is reducing data on primary disk storage via data deduplication or data compression.

第二种容量管理办法可近似地认为是通过重复数据删除或数据压缩来减少主存储磁盘上的数据。

The main contents are listed as follows: Analyse and research of the data mining technique. the dissertation summarizes,analyses and studies the current status of the data mining technique in our native country and overseas widely and roundly research . The definiens and orientation of the data mining is reviewed in brief first.

对数据挖掘技术的国内外研究现状进行了广泛而全面地归纳、分析和研究，对数据挖掘的定义及定位进行了简要的回顾，在数据挖掘基本概念的基础上，对数据挖掘常使用的技术和研究的对象进行了详细地分类、归纳和总结。

In view of the single invalid data of the optoelectronic deflection meter system in the engineering practice of the bridge structural health monitoring system, which bring the illusive alarm and can not be identified by the traditional methods of signal processing and data analyzing,the paper analyses the characteristics of the single invalid data, and formalizes and describes them.

针对在大型桥梁结构状态监测系统工程实践中，光电挠度测量系统采集的数据中存在的较多单点失真数据无法使用传统的信号处理与数据分析方法过滤的问题，本文在连通管式光电挠度测量系统原理基础上，深入分析了系统中单点失真数据的特点，对单点失真数据进行形式化描述和说明，从而提出了一种基于数据速率变化来过滤单点失真数据的滤波方法。

Insert, delete and move cells/Enter and edit cell data including text, numbers, and formulas /Check spelling/Find and replace cell data and formats/Work with a subset of data by filtering lists

插入、删除、移动单元格/输入、编辑单元格内容/拼写检查/查找、替换单元格内容和格式数据筛选功能。

Website content, you whether to raise a website collect a page, add data bulk, and collect data wildly, such very short during it is pretty good, but such station is dropped very easily by search K, the database of the search often meets the content of a capture and him database content is compared relatively, the content that should discover you is similar or similar, light demote, depilate again, want to write the word that fills data, acquire as far as possible some of content related to the website, have alternative accretion, some of content that enrols a person to like major quite is copied on relevant website, had better add some achieve formerly, such more denounce search spider to like.

七、网站内容，你是否为了提高网站的收录页面，添加数据量，而疯狂采集数据啊，这样很短的期间是不错，但这样的站很轻易被搜索k掉，搜索的数据库经常会把抓取的内容与他数据库内容相对比，当发现你的内容相似或者相仿，轻则降级，重则拔毛，要想填充数据的话，尽量添置些与网站相关的内容，有选择性的添加，在相关网站上拷贝些比较招人喜欢专业的内容，最好添加些原创的，这样更讨搜索蜘蛛喜欢。

The abundance of data, coupled with the need for powerful data processing methods, has been descried as a "data rich but information poor" situation.

在很多情况下，企业拥有大量的数据，却缺乏对这些数据的有效的处理和分析，更无法对决策分析提供信息。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Ethernet data stream with HTML format and DVB-C data stream with MPEG2 format is inputted in form of ASI and SPI, and send it into FIFO via 74F675A. 5416 packs and encrypts and transfers to DVB-C and Ethernet by time diplex mode. Thereby, data bus access is realized.

HTML格式以太网数据流和MPEG2格式DVB-C数据流以ASI和SPI形式输入，经74F675A串并转换进入FIFO.5416进行打包和加密并以时分复用方式传输DVB-C和以太网数据，实现数据总线访问。

The enhanced direct memory access is an important technology used for fast speed data transfer in data signal processor.EDMA is able to move data block independent of CPU, and this capability meets real-time image processing.

增强型直接内存存取是数字信号处理器中用于快速数据交换的重要技术，具有独立于CPU 的后台批量数据传输的能力，能够满足实时图像处理中高速数据传输的要求。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新