1、Tune in to this series to learn about distributed data mining next month.
請在下個月繼續(xù)關注本系列以了解分布式數據挖掘。

2、Distributed data and event collection for service and process level visibility.
分布式數據和事件收集，支持服務和過程級的可見性。

3、The first issue with data mining of distributed data sources is discovery.
分布式數據源數據挖掘的第一個問題是發(fā)現。

4、In a data grid, the amounts of distributed data must be large for maximum benefit.
在數據網格中，分布式數據的數量必須足夠大才能發(fā)揮最大效益。

5、Put forward a framework of IDS using distributed data mining approach
摘要提出了基于分布式數據挖掘的入侵檢測系統(tǒng)框架。

6、RESEARCHS ON DISTRIBUTED DATA MINING
分布式數據開采研究

7、IDA enables users to discover, model, visualize, and relate diverse and distributed data assets.
rda使用戶可以發(fā)現各種分布式數據資產，并對它們進行建模、可視化和關聯處理。

8、It USES S3 as the distributed data store for all results.
它使用S3進行所有結果數據(包括中間和最終數據)的分布式存儲。

9、This paper presents an algorithm for outlier detection in distributed data streams.
針對分布式數據流環(huán)境，提出基于核密度估計的分布數據流離群點檢測算法。

10、Therefore, distributed data needs to be integrated and made available for extensive analysis.
因此，需要對分布式的數據進行集成，并使其可以用于進行各種各樣的分析。

11、After the system was restored, they set up additional shards and distributed data evenly.
系統(tǒng)恢復之后，Fours quare增加了多臺額外的Shard，保證分布數據的均衡。

12、Put forward a framework of IDS using distributed data mining approach.
摘要提出了基于分布式數據挖掘的入侵檢測系統(tǒng)框架。

13、You want a more distributed data solution.
需要一種分布更廣泛的數據解決方案。

14、A Distributed Data Warehouse Based on the Concepts of Distributed System
基于分布式系統(tǒng)概念的分布式數據倉庫

distributed data翻譯