给出了一个在多级概念层上交互挖掘关联规则的算法，并进行了讨论。
This article gives an algorithm on mutually mining the correlative rules among multiple conceptual layers and discusses it.
关联规则挖掘是一项高度交互的任务，用户通常需要尝试多种参数设置才能达到理想的结果。
Association rule mining is a highly interactive task, and users usually have to try many different parameter Settings to achieve the desired result.
在设计阶段，架构师和开发者能使用图，挖掘出系统对象间的交互，这样充实整个系统设计。
During the design phase, architects and developers can use the diagram to force out the system's object interactions, thus fleshing out overall system design.
相反，您可能更希望创建交互报告以便用户能够设置Cognos报告内的参数、在后台自动调用挖掘，然后将结果返回至Cognos。
Rather you would like to create interactive reports that allow the user to set parameters in a Cognos report, invoke mining in the background automatically and then to feed the results back to Cognos.
从Cognos报告中，用户可以通过调用数据库上相应的存储过程，交互式地调用数据挖掘。
The user can interactively invoke mining by calling a corresponding stored procedure on the database from a Cognos report.
系统使用五层体系结构，分别为：用户交互层，系统编程接口层，挖掘核心服务层，数据库访问层，数据库。
The system structure is a multilayer system structure with five layers. They are user interactive layer, system program interface layer, mining core service layer, data access layer, database layer.
这种图形符号的语义联想方法可以用来改善信息检索系统的人机交互效率以及用于数据挖掘领域中的信息可视化技术。
The method of icon semantics association can be applied to the improving of the information retrieve system based on icon, and can be applied to information visualization technology in data mining.
扩展后的DM 2平台具有极强的处理大数据集的能力，优异的与数据库交互的能力，人性化的可视化数据挖掘界面。
The expanded DM2 platform has extremely capacity to handle large data sets, excellent ability to interact with database and human visual interfaces of data mining.
本文提出了一个基于反向矩阵的最大频集的交互式挖掘算法。
In this paper, an algorithm based on inverted matrix for interactive mining is proposed.
通过研究数据挖掘中的各种可视化方法，提出了一种新颖的交互式可视化例外数据挖掘方法。
Through researching various visualization methods on data mining, we propose a novel interactive visualization outlier data mining method.
的框架，内部结构(尤其是组织挖掘模块的结构)和C -工作流管理系统模块的交互工作的方法进行了研究。
The framework, interior structure (especially the structure of organizational mining module) and the interactive working methods of C-WfMS modules were studied.
在此基础上，学术界新提出了OLAM，它结合了二者的优势，提供在数据立方体上进行交互式多维数据挖掘的方法。
On this basis, the academia has put forward the idea of OLAM which had combined the advantages of the above two and offered the method of the interactive multidimensional data mining on the data cube.
在此基础上，通过参与者之间的社会关系网确定角色之间的交互，挖掘角色-活动模型。
The social network among participants is analyzed to determine the interaction between roles, and a Role-Activity Diagram based process model is defined.
文章提出了一个基于约束条件、以用户为中心、交互性较强的关联规则挖掘模型。
This paper puts forward a digging model about relationship rules, which is based on restricted condition and which centre around the users.
在实际应用中，为了充分挖掘数据场中包含的信息，还需要对数据进行交互式处理。
In practical applications, in order to fully mine the information contained in data fields, it also needs interactive processing towards data.
在实际应用中，为了充分挖掘数据场中包含的信息，还需要对数据进行交互式处理。
In practical applications, in order to fully mine the information contained in data fields, it also needs interactive processing towards data.
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