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- This paper discusses the theory of data mining respect to temporal data. 研究了时态(时间段)数据的关联规则的数据采掘问题。
- Aiming at the problems that exist in the study of spatial temporal data modeling and temporal geographic information system(GIS),a general object-oriented spatio-temporal data model(GOO-STDM) is proposed. 针对时空数据模型与时态地理信息系统研究中存在的几类问题,提出了一种通用的面向对象时空数据模型GOO-STDM。
- Temporal data mining (TDM) has been attracting more and more interest from a vast range of domains, from engineering to finance. 现实世界存在着大量的时态数据;时态数据挖掘(temporal data mining;简称TDM)是近年来学术界关注的一个重要研究课题.
- Research on continuous temporal data mining 持续时态数据挖掘的研究
- Temporal Data Mining in Transaction Database 事务数据库中的时态信息挖掘
- Research on Temporal Data Mining in Databases 数据库中的时态数据发掘研究
- Study of Temporal Type and Time Granularity in the Temporal Data Mining 时态数据采掘中的时态型与时间粒度研究
- A Method of Clustering with the Single Character Temporal Data Mining Based on SOM 一种基于SOM单属性时态特征聚类的方法
- Spatio-temporal DBMS (database management system) is a DBMS which can handle the temporal data and the spatial data. 时空数据库管理系统(Spatio-Temporal DBMS)是能够同时处理时态数据和空间数据的数据库管理系统。
- Data mining is to extract knowledge from information. 资料开采是从各种资讯中获得知识。
- Finally,spatial temporal speed figure was introduced to help find the headstream of congestion,and t. 介绍了用时空速度变化图寻找拥挤源头以及选择交通控制措施的方法。
- In addition, some researchers found this sonata also reduced seizures in epileptics and improved spatial temporal reasoning in Alzheimer patients. 另外,一些研究人员发现这首奏鸣曲还能减少癫痫患者的发作,以及改善阿尔兹海默病人的时空推理能力。
- Clustering is a major method of data mining. 摘要聚类是数据挖掘中的主要方法。
- temporal data mining 时序数据挖掘
- Understanding data mining may be important to you. 理解数据挖掘可能对你很重要。
- In its most basic form, data mining is very simple. 以其最基本的方式,数据采集就简单了。
- Data mining tools yield five types of information. 数据开采工具得到五类信息。
- In the real world, information systems are often concerned with temporal data. 在现实世界中,信息系统往往涉及到时态数据。
- An available answer is Data Mining. 可行的方法之一就是利用数据挖掘技术。
- Outlier mining is an important part of data mining. 摘要离群数据挖掘是数据挖掘的重要内容。