1. The core part is user behavior feature extraction module. The feature extraction algorithmic determines not only the precision of recommendation rule but also the quality of system and the satisfaction of users.
其中本子系统的核心部分为用户行为特征提取模块的设计和实现部分，特征提取算法的好坏直接决定了推荐规则产生的准确性高低，同时也影响了系统的性能的优劣和用户的满意度。
2. In order to improve algorithmic efficiency and precision, an association rule extracted from spacecraft telemetry data through data mining technology was applied to configure parameters of AHP.
利用数据挖掘技术从航天器遥测数据中提取关联规则，代替人类专家的经验知识自主配置AHP算法中的参数，以提高算法的效率和精度。
3. This thesis concentrates on computer composition techniques based on Markov model and rule-based systems. It also discusses the important melodies and drawbacks associated with these two algorithmic composition approaches. The corresponding solutions are proposed to address the issues.
本篇论文主要讨论了马尔可夫链和基于音乐知识规则系统的技术方法，这两种算法作曲领域中的重要的技术以及它们各自存在的一些主要问题，并提出了相应的解决问题的方案。
4. Third, providing a new method of appraising teaching effect & Synthetical Appraisal Rule, and probing into the algorithmic reality.
提出了一种新的评价教学效果的方法一一综合评判法，并探讨了算法实现。
5. Approaches of topology selection including hierarchical decomposition, rule-based, algorithmic-based and fixed-topology are discussed in detail, and devices sizing techniques are also discussed.
研究了基于层次分解、基于规则、基于优化和基于固定电路的拓扑选择方法以及器件尺寸优化相关策略。
6. By the support of knowledge base composed of sample base, primitive base and rule base, a software function is repeatedly decomposed into many refined software functions until all the software functions can be transformed into algorithmic object codes by semantic subroutines in primitive base.
在由范例库、基元库和规则库构成的知识库支持下，交互式地不断分解细化软件功能，直至所有的功能定义都能由基元库中的语义子程序转换为算法性的目标代码为止。
7. algorithmic rule的近义词
7. Secondly, this paper puts forward the algorithmic framework of association rule mining using Markov Blanket, and also explores each components of algorithmic framwork.
给出了一种利用马尔可夫覆盖进行关联规则挖掘的算法框架，并研究了算法中的各个组成部分。