在工业控制系统、工作流管理、主动数据仓库、生物信息管理等众多领域都充分利用了主动规则机制。
Active rules have been efficiently applied in many lines such as industry controls, workflow processes, active data warehouse, and biologic information management.
主动实时数据仓库的提出用来零延时地获取数据和减少正确做出商业决策的时间。
The paper discusses the difference between traditional data warehouse and active real-time data warehouse, and presents a new architecture of active real-time data warehouse.
基于该模型，给出了支持多数据仓库的主动数据更新算法，并证明了算法的正确性和可行性。
Based on this model, an active data refresh algorithm to support multi-data warehouse was given. The model and the algorithm were then evaluated and validated through implementations and analysis.
通过对Oracle性能的主动和被动管理，以及优化工具SQLTrace、EXPLAINPLAN和优化器的使用，缩短了数据仓库用户查询响应的时间，提高了查询效率。
By using active and passive management for ORACLE and optimize tools like SQL TRACE EXPLAIN PLAN and ORACLE OPTIMIZER, the query response time is shortened and the efficiency is improved.
主动性知识仓库弥补了当前数据仓库的不足之处，它可能是未来几年的一个研究热点。
This warehouse can make up for the data warehouse's lack. The active knowledge warehouse may become a research hotspot in the not too distant future.
主动性知识仓库弥补了当前数据仓库的不足之处，它可能是未来几年的一个研究热点。
This warehouse can make up for the data warehouse's lack. The active knowledge warehouse may become a research hotspot in the not too distant future.
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