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首页> 外文会议>Twenty-Seventh International Conference on Very Large Data Bases, 27th, Sep 11-14th, 2001, Roma, Italy >Functional Properties of Information Filtering
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Functional Properties of Information Filtering

机译：信息过滤的功能特性

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摘要

In recent years, due to the increasing popularization of data broadcasting, the volume and variety of data being broadcast are rapidly increasing. In this environment, as it is difficult for users to search for information from a large amount of broadcast data, there is an increasing demand for filtering techniques that automatically extract only the necessary data. Consequently, a number of filtering methods have been proposed. However, mathematical representation of these methods does not exist. Thus, it is not possible to qualitatively evaluate various filtering methods, optimize processing methods in filtering, or design a declarative language for filtering processes. In this paper, we define filtering as a function, and express the properties of filtering methods by the constraints satisfied by this function. By showing the inclusion relation of constraints representing the properties of filtering, we clarify the relationship between the properties of filtering. Using the framework proposed in this paper, we are able to categorize the actual filtering systems. By applying the appropriate processing method for each category according to its properties, more efficient filtering systems can be achieved.
机译：近年来，由于数据广播的日益普及，正在广播的数据的数量和种类正在迅速增加。在这种环境下，由于用户难以从大量广播数据中搜索信息，因此对仅自动提取必要数据的过滤技术的需求日益增长。因此，已经提出了许多过滤方法。但是，这些方法的数学表示不存在。因此，不可能定性地评估各种过滤方法，优化过滤中的处理方法或设计用于过滤过程的声明性语言。在本文中，我们将过滤定义为一个函数，并通过该函数满足的约束条件来表达过滤方法的属性。通过显示表示过滤属性的约束的包含关系，我们阐明了过滤属性之间的关系。使用本文提出的框架，我们可以对实际的过滤系统进行分类。通过根据类别的属性对每种类别应用适当的处理方法，可以实现更有效的过滤系统。

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