普通数据 meaning in English
generic data
Examples
- The contention time lengthened real - time p - persistent simulation results show not only real - time traffic delay performance being enhanced greatly but also common data delay and throughputs not being affected evidently
对竞争延长实时p -持续csma / cd的仿真结果显示不仅它的实时通信量的延时性能大大提高，而且普通数据延时和吞吐量并没有受到显著的影响。 - The order of our discussions " about these tasks is as follows : firstly , we pay more attention to the characteristics and difficulties of its environment including the concept , typical system model , main challenges , mobile network connection and soft application . secondly , according to mobile specialties of the environment we make the sort of data into four kinds : general data , time series , spatial data and time - spatial data , and present general processing of data mining . lastly , we discuss the methods of data mining of these four kinds respectively : after the introduction of the actuality of data mining of every kind , an algorithm of rule updating based on rough set is given , then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds
本文对以上任务的讨论顺序安排如下：首先是对移动计算环境的技术特点和难点进行讨论，包括移动计算的概念和典型系统模型、主要挑战、移动联网以及软件应用这几个大的方面；其次根据移动环境的移动特性把移动计算环境中的数据分为普通数据，时间数据，空间数据以及时空数据，提出了在移动计算环境中数据挖掘的一般流程；接下来分别对这四类数据进行挖掘算法的讨论：每一部分都是先介绍该类数据的挖掘方法研究现状，对于普通数据，针对我们已提出的一种挖掘算法-粗糙集算法( rs ) ，提出了对应的规则更新算法，对于后三种数据，本人根据其在移动计算环境中的特点分别提出了与移动用户相关的该类数据的一种具体的处理方法和算法流程图，包括基于移位连接方法的多属性时间序列的挖掘算法，基于apriori算法的空间关联规则数据挖掘方法以及关于移动用户移动模式的时空数据挖掘方法，并用matlab对其中的规则更新算法和时间序列的挖掘算法这两方面进行了实例仿真。 - Traditional analytic methods almostly are based on normal data type in database , usually give traffic management policymaker a lot of data tables , but traffic management policymakers can not find relations among these tables in short time at all , often bungle the chance of deciding policy
传统的分析手段大多基于数据库中的普通数据类型，提供给决策者的往往是一些数据表格，而作为决策者是根本无法在短时间内发现面前多张表格之间的关系，往往贻误了决策的契机。 - Of mobile communications , providing services for the society and creating the incomes . for the government and the benefits for the employees , so the systems constructed must satisfy the following requirements : ( 1 ) the charging data must be accurate . ( 2 ) maintaining the availability on the real time . ( 3 ) for the inquiring needs , ordinary data required to last three months
作为移动公司除为社会提供服务外，还必须为职工和国家创造效益，所以对系统的构建必须达到如下要求： ( 1 )计费数据必须准确无误， ( 2 )适时可用， ( 3 )普通数据需要保存一定的时间(目前为三月)以供查询， ( 4 )重要通信数据必须永久保存。