A track-association algorithm based on the limited frames Least Squares method is put forward.
针对星空图像中运动点目标轨迹难于提取的问题，提出了有限帧最小二乘轨迹关联算法。
This thesis gives a target association algorithm based on the attribute and feature of the target.
然后重点从三个角度探讨了适合于航天遥感信息的时敏目标关联算法的实现。
To deal with the uncertainty of multi-sensor observations, a new data association algorithm based on intuitionistic fuzzy clustering was proposed.
针对多传感器观测数据存在不确定性的问题，基于直觉模糊聚类，提出一种新的数据关联算法。
Based on data-distort method, we propose privacy preserving association rules mining algorithm IFB-PPARM using efficient data structure namely inverted file.
基于数据变换法，提出使用高效数据结构即倒排文件的隐私保护关联规则挖掘算法ifb - PPARM。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
The experiments show that, comparing with the recommendation algorithms based on association rule or on user transaction, the algorithm precision is improved greatly.
实验表明，该算法比使用基于关联规则和基于用户事务的推荐算法的精确性有较大幅度的提高。
Finally, the characteristics and connection strategies of generator are presented, and based on subsume index, a breadth-first algorithm for mining non-redundant association rule is proposed.
最后，讨论了生成子的性质及连接策略，并在包含索引的基础上，给出了一种宽度优先的无冗余关联规则挖掘算法。
According to the basic pattern of sales based on Internet and the attribute of mix marketing strategy dug out, this paper proposes a new algorithm of mining association rules based on constraints.
针对目前我国网络销售的基本模式，在已发现的组合营销策略特点的基础上，提出了一种基于约束的关联规则挖掘新算法。
The recommended algorithm of UAPOMR system includes recommendation based on transaction_clusters and recommendation based on association rules clusters.
UAPOMR系统的推荐算法包括基于事务聚类的推荐和基于关联规则聚类的推荐。
This paper firstly presents a power set-based association rules mining algorithm which USES pow er set as an association rules mining tool.
首次提出了利用幂集作为挖掘关联规则的工具，给出了基于幂集的关联规则挖掘算法。
Based on the mined association rules, this algorithm optimizes the storage structure of association rules, a nd extends SQL-like query statement.
在算法实现的过程中对关联规则集存储结构进行了优化，并扩展了类sQL查询语句。
Since the first algorithm of Classification Based on Association rules (CBA) was introduced in 1998, the algorithm design of associative classification and its application have been very active.
自1998 年出现第一个基于关联的分类算法（CBA）以来，关联分类算法的设计及应用研究一直非常活跃。
Finally, valuable decision-making information is discovered by using the parallel algorithm based on FP-growth while mining the association rules of online transactions.
利用该算法对网上交易进行关联规则挖掘，发现了有价值的决策支持信息。
Peculiarity association rule mining algorithm RSFPA based on FP-tree is presented by using FP-tree idea oriented association rule miming.
运用面向关联规则的FP树构造方法，提出了一种特异关联规则挖掘算法rsfpa。
Through defining information granule with binary string, we introduce an algorithm of mining association rules based on granular computing.
通过采用二进制串表示所定义的信息粒，提出了基于粒计算的关联规则挖掘算法。
This paper proposes a Chinese conception sets-generating algorithm based on association rule.
本文提出了一种基于关联规则的中文概念集生成算法。
Aim To put forward association rule mining algorithm based on relation algebra theory.
目的提出基于关系代数理论的关联规则挖掘算法。
First, we focus on the method of batch management, batch association, tracking BOM model, then propose the product tracking model and the algorithm that makes the tracking BOM based on time.
首先重点研究了批次管理的方法、批次关联、追踪bom模型，接着在此基础上提出了产品跟踪模型，并提出了基于时间的跟踪BOM生成算法。
Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.
关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。
A method of track association based on ISODATA algorithm for clustering analysis is put forward according to the features of multi sensor multi target track association.
针对多传感器多目标航迹关联的特点，提出了将基于聚类分析的ISODATA算法应用于航迹关联的解决方法。
A novel digital image watermarking algorithm based on the association memory ability of neural network is proposed in this paper.
基于神经网络自联想记忆功能，提出了一种新的数字图像水印算法。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.
介绍了在数据立方体上对于不同可信度的数据进行分块的方法，阐述了基于数据立方体分块的多维关联规则挖掘的算法。
This paper proposes a new algorithm for mining association rules with composite items based on the FP-growth algorithm.
文章基于FP-增长算法提出了一种新的挖掘复合项关联规则的算法。
Aiming at a familiar and simple constraint that some items must or must not present in rules, a fast clipped-transaction-based constraint association-rule mining algorithm was put forward.
针对一类常见而简单的规则中有项或缺项的约束，提出了一种基于事务数据修剪的约束关联规则的快速挖掘算法。
Updated solution in parallel implementation of discovery of association rules was studied, and IDD algorithm based on DD algorithm was introduced.
研究了采用并行算法挖掘关联规则的优化方案。在数据分发（DD）算法的基础上引入了改进的智能数据分发（IDD）算法；
Updated solution in parallel implementation of discovery of association rules was studied, and IDD algorithm based on DD algorithm was introduced.
研究了采用并行算法挖掘关联规则的优化方案。在数据分发（DD）算法的基础上引入了改进的智能数据分发（IDD）算法；
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