massive data mining的意思|示意

美 / / 英 / /

海量数据挖掘


massive data mining的网络常见释义

海量数据挖掘 ...则增量更新算法 关键词:海量数据挖掘;云订 算;映射/规约;-X-联规则;增量更新 [gap=1234]Key words:massive data mining;cloud computing;MapReduce;association rules;incremental updafing ..

massive data mining相关短语

1、 Mining Massive Data Streams 挖掘大量数据流

massive data mining相关例句

But, if we need recalculate rules from all data to mine knowledge after updating the database, it will consume massive resources, which causes the urgent demand of the incremental mining algorithm.

但是,如果在数据库更新之后要对全部数据重新进行挖掘,需要消耗大量的资源,这导致对增量挖掘算法的迫切需求。

The potential and useful information in massive disordered data can be acquired through data mining.

通过数据挖掘技术可以得到看似杂乱的数据间存在的潜在的、有用的信息。

In addition, the business data stream is continuous, conflict, timing, massive and distributed, so traditional data mining techniques can not be applied directly to the business data stream.

而商业数据流除了具备数据流的基本特点外,还具备连续性、冲突性、时间性、海量性和分布性等特性。因此传统的数据挖掘技术不能直接应用到商业数据流上。

Data mining, a new branch of study emerged recently, concentrates primarily on how to identify useful knowledge from massive data.

数据挖掘技术是一门近年来新兴的学科,它主要研究如何从大量数据中发掘出有用的知识。

Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.

面对大规模、高维的数据,如何建立有效的,可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。

Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.

面对大规模的、高维的数据,如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。