数据划分

如何最大限度地发挥并行设备的计算能力成为当前研究的重要话题，以并行任务分解及空间数据划分为主的策略研究成为高性能GIS进一步深入的前提。

How to maximize parallel equipment computational ability are the hot research topic , the parallel task division and geo-spatial data partition are put on the strategy study as the precondition of GIS further performance .

如何由数据划分确定程序的计算划分是HPF编译器需要首先解决的基本问题。

Also , it is a fundamental task for the HPF compiler to get the computation partition based on data partition .

幸运的是，OSTCP层可以负责将协议数据划分为避免IP分片的TCP报文段。

The OS TCP layer fortunately takes care of splitting the protocol data into TCP segments that avoid IP fragmentation .

在DB2UDBV7中创建分区的表空间时，DB2根据CREATEINDEX语句的PART子句将数据划分到几个分区上。

When creating a partitioned table space in DB2 UDB V7 , DB2 divides the data among the partitions according to the PART clause of the CREATE INDEX statement .

M3网络中已采用了随机划分、超平面划分、等分割聚类、谱聚类和基于先验知识等多种数据划分方法。

Some methods have been presented in M3 network , such as randomly division , hyper-planes division , spectral clustering and so on .

数据划分的粒度越小，能够参与计算的P2P网络节点越多，工作流的效率提升效果越明显。

Therefore , the smaller grain sizes of the data partitioning are , the more P2P network nodes participate in computing , the higher efficiency of the workflow executions is improved .

由预测产生的相对误差的大小，将原始数据划分为4种状态，分别写出胸径、树高、材积的四步概率转移矩阵p（i），建立灰色&马尔柯夫预测模型。

The original data were divided into 4 types according to the value of relative error , at the same time , transition probability matrix on DBH , tree height , volume was expressed respectively , the Grey-Markov forecasting model was also founded .

RANGE/TABLEPARTITIONING（DB29提供）&根据键范围将数据划分到一个逻辑数据库分区中的多个物理对象上。

RANGE / TABLE PARTITIONING ( Available with DB29 ) - splitting data by key range over multiple physical objects within a logical database partition .

将消息协商数据划分到多个不同集合的虚拟主机，它很像webserver中的虚拟主机，例如Apache的http守护进程。

The virtual host which partitions a message brokers data into distinct sets , very much alike the virtual host concept in webservers such as the Apache http daemon .

与传统聚类算法相比，半监督聚类能利用少量的监督信息引导更好的数据划分或进行度量学习（Metriclearning），从而获得更好的聚类结果。

Semi-supervised clustering can use a small amount of supervised information to guide the clustering algorithm towards a better grouping of the data or to do metric learning . So compared with traditional clustering algorithms , Semi-supervised clustering can usually get a better result .

并归纳出传统的自动并行化技术在CFD应用中存在的问题：并行粒度小、难以获得全局统一的数据划分方式，对于分布存储结构的并行机难以获得高效率。

We also summarized drawbacks of traditional automatic parallelization technology used in CFD : small parallel granularity , difficulty in attaining global identical data partition , and difficulty in attaining high parallel efficiency on distributed memory system .

并行PDBMS的数据划分方法

The Data Partition of Parallel Database PDBMS

该算法使用了一种新颖的逻辑纵向数据划分方法来确保top-k频繁词集挖掘能够在各数据分区中并行执行。

A novel logical vertical data partitioning method is used to make sure the top-k frequent term sets can be mined parallel at each mining node .

现有的语义信息并行推理方法主要有基于关系型数据库、基于分布式哈希技术、基于数据划分、基于P2P网络和基于云计算等技术途径。

Current paralleling inference methods can be divided into 5 categories : methods based on relational database , methods based on data partitioning , methods based on Distributed Hash technology , methods based on P2P network , and methods based on Cloud Computing .

利用SVM原理将样本数据划分为两部分，通过对评价系统中的样本数据进行训练，从而得到训练模型，用所得到的训练模型对预测数据进行智能评价与分析。

Using SVM principle will sample data , divided into two parts , through to the evaluation system of the training sample data , thereby get training model , using the training model gets to forecast data of intelligent evaluation and analysis .

首先利用k均值算法将未知数据划分成某个数量的子集，然后对新数据进行支持向量机训练得到决策边界与支持矢量，最后对无标识数据进行分类。

The new algorithm is to firstly divide unlabeled data into many subsets with a new label by k-means clustering , then train the SVMs using the new data set to get decision boundary and support vectors , at last use the SVMs classifier to classify the unlabeled data .

PrivCo将数据划分为每两周为一个阶段，结果显示Facebook在6份和7月的部分时间里表现良好，成交价为35美元每股，整个公司估值将近840亿美元。

The data is broken out into two-week periods , and shows that Facebook spent the better part of June and July trading at $ 35 per share , for a company valuation of approximately $ 84 billion .

并行数据库数据划分的调整会导致代价昂贵的数据重组。

Changing parallel database decluster can cause the expensive data reorganization .

基于Improved-Hash方法的多维数据划分

Multi - dimensional - data Partition Based on improved - hash Method

独立分量分析结合数据划分的故障检测方法

A Method of Fault Detection with Independent Component Analysis Combining Data Division

pC++语言中数据划分算法的研究与改进

Research and Improvement on the Data Distribution Algorithm of pC + + Language

基于线性不等式的数据划分方法的优化

An optimizing data decomposition method based on linear inequalities

本文提出了基于码率的最优数据划分算法。

This paper puts forward a memoryless and rate-based optimal data partitioning algorithm .

基于查询优化的并行数据库自动数据划分设计

Automating database design of PDBMS based on optimizer

数据划分可以在一定程度上消除伪冲突更新，而更新协商算法可以解决更新依赖问题。

Data partition can eliminate false-conflict updates and negotiation algorithms can resolve update dependency .

本文通过按群进行数据划分、组织并行计算，提出了一种按群划分的负载平衡算法。

Partitioning data and computing by group , we get a load balancing algorithm .

并行数据库交互式数据划分工具的设计

Design of interactive database partition tool of PDBMS

一种面向并行空间数据库的数据划分算法研究

Spatial Data Partitioning Towards Parallel Spatial Database System

一种动态分布数组的数据划分模式

Data partition mode for dynamic array distributions

自动计算分解和数据划分算法研究

Automatically Finding Computation and Data Decomposition Algorithm