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DEM
- 目前三角网是进行精细地形表达最好和最常用的方法，因此本文讨论利用三角网法来建立露天矿的精细DEM模型。由于露天矿复杂特殊的地形特征，在建模过程中应充分考虑相应的约束条件，否则会出现台阶被削平等现象。构建不规则三角网的方法可分为分而治之算法、逐点插入算法和三角网生长算法。各种算法各具优缺点，结合矿区的实际情况，本文采用一次性约束三角网生成算法，经过空间数据提取、拓扑关系建立以及空间索引建立，最终建立起边界约束线以内的约束不规则三角网。-At present, triangulated irregu
Visual-Fortran2002
- 有数值计算中常用的Visual Fortran子过程近200个，内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组，每一个子程序都包括功能、方法、使用说明、子程序和例子五部分。本书的所有子过程都在Visual Fortran 5.0版本上进行过验证，程序都能正确运行。同时配书发行光盘，包括所有子过程、验证过程及所有验
TextminingtechnologySummary
- 文本挖掘，是一个对具有丰富语义的文本进行分析从而理解其所包含的内容和意义的过 程 对其进行深入的研究势必将极大地提高人们从海量的文本数据中提取信息的能力，具有很高的商业价值。-Text mining, that have a rich semantic text analysis in order to understand the content and significance of the process it contains its in-depth study is bound
dawak80
- Periodic pattern mining is the problem that regards tempo- ral regularity. There are many emerging applications in periodic pattern mining, including web usage recommendation, weather prediction, com- puter networks and biological data. In this
01593465
- Mining frequent patterns from XML data
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- Efficient Mining of Weighted Frequent Patterns over Data Streams -Efficient Mining of Weighted Frequent Patterns over Data Streams
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- Mining Multi-Relational Frequent Patterns in Data Streams
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- Mining Frequent Patterns in Data Stream over Sliding Windows
Microcontroller
- 键盘是由若干按钮组成的开关矩阵，它是单片机系统中最常用的输入设备，用户能通过键盘向计算机输入指令、地址和数据。一般单片机系统中采和非编码键盘，非编码键盘是由软件来识别键盘上的闭合键，它具有结构简单，使用灵活等特点，因此被广泛应用于单片机系统。-The keyboard is composed by a number of push button switch matrix, which is the most commonly used single-chip system, the input
code
- This paper builds on our existing works and proposes combined mining as a general approach to mining for informative patterns combining components from either multiple data sets or multiple features or by multiple methods on demand. We summarize gene
does-ML-really-work-TOM-MITCHELL
- Does machine learning really work? Yes. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value. Machine-learning algorithms have now learned to detect credit car
Road-Network-Aware-Trajectory-Clustering
- Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean distance measures. We argue that when the utility of spatial clustering of
spatio-temporal-trajectory
- Travel feature mining method based on spatio-temporal trajectory data
文本分析聚类实战
- 文本挖掘是从大量的文本数据中抽取隐含的，求和的，可能有用的信息。 通过文本挖掘实现 ?Associate：关联分析，根据同时出现的频率找出关联规则 ?Cluster：将相似的文档（词条）进行聚类 ?Categorize：将文本划分到预先定义的类别里(Text mining is a kind of information that is extracted from a large number of text data, which may be useful. Implementa
Python数据分析与挖掘实战.pdf
- 一本关于数据分析与挖掘的电子书籍，适合有一定python经验的人使用。(An e-book on data analysis and mining is suitable for people with some python experience.)
IBM SPSS数据分析与挖掘实战案例精粹1
- IBM SPSS数据分析与挖掘实战案例精粹(IBM SPSS data analysis and mining the essence of actual combat cases)