公开(公告)号：US07979362B2

公开(公告)日：2011-07-12

申请号：US11836849

申请日：2007-08-10

Applicant: Kaidi Zhao ,  Jeffrey G. Benkler ,  Weimin Xiao ,  Bing Liu

Inventor： Kaidi Zhao ,  Jeffrey G. Benkler ,  Weimin Xiao ,  Bing Liu

IPC: G06F17/00 ,  G06F17/20

CPC classification number: G06F17/30994 ,  G06F17/30536 ,  G06F17/30539 ,  G06F2216/03

Abstract: An interactive data mining system (100, 3000) that is suitable for data mining large high dimensional (e.g., 200 dimension) data sets is provided. The system graphically presents rules in a context allowing users to readily gain an intuitive appreciation of the significance of important attributes (data fields) in the data. The system (100, 3000) uses metrics to quantify the importance of the various data attributes, data values, attribute/value pairs, ranks them according to the metrics and displays histograms and lists of attributes and values in order according to the metric, thereby allowing the user to rapidly find the most interesting aspects of the data. The system explores the impact of user defined constraints and presents histograms and rule cubes including superposed and interleaved rule cubes showing the effect of the constraints.

Abstract translation: 提供了适用于数据挖掘的交互式数据挖掘系统（100,3000），大的高维（例如，200维）数据集。 该系统在上下文中呈现规则，允许用户直观地欣赏数据中重要属性（数据字段）的重要性。 系统（100,3000）使用度量来量化各种数据属性，数据值，属性/值对的重要性，根据度量对它们进行排序，并根据度量按顺序显示直方图和属性和值列表，从而 允许用户快速找到数据中最有趣的方面。 系统探讨用户定义约束的影响，并提供直方图和规则立方体，包括叠加和交错的规则立方体，显示约束的影响。

公开(公告)号：US20090043714A1

公开(公告)日：2009-02-12

申请号：US11836849

申请日：2007-08-10

Applicant: Kaidi Zhao ,  Jeffrey G. Benkler ,  Weimin Xiao ,  Bing Liu

Inventor： Kaidi Zhao ,  Jeffrey G. Benkler ,  Weimin Xiao ,  Bing Liu

IPC: G06F17/00 ,  G06F15/18

CPC classification number: G06F17/30994 ,  G06F17/30536 ,  G06F17/30539 ,  G06F2216/03

Abstract: An interactive data mining system (100, 3000) that is suitable for data mining large high dimensional (e.g., 200 dimension) data sets is provided. The system graphically presents rules in a context allowing users to readily gain an intuitive appreciation of the significance of important attributes (data fields) in the data. The system (100, 3000) uses metrics to quantify the importance of the various data attributes, data values, attribute/value pairs, ranks them according to the metrics and displays histograms and lists of attributes and values in order according to the metric, thereby allowing the user to rapidly find the most interesting aspects of the data. The system explores the impact of user defined constraints and presents histograms and rule cubes including superposed and interleaved rule cubes showing the effect of the constraints.

Abstract translation: 提供了适用于数据挖掘的交互式数据挖掘系统（100,3000），大的高维（例如，200维）数据集。 该系统在上下文中呈现规则，允许用户直观地欣赏数据中重要属性（数据字段）的重要性。 系统（100,3000）使用度量来量化各种数据属性，数据值，属性/值对的重要性，根据度量对它们进行排序，并根据度量按顺序显示直方图和属性和值列表，从而 允许用户快速找到数据中最有趣的方面。 系统探讨用户定义约束的影响，并提供直方图和规则立方体，包括叠加和交错的规则立方体，显示约束的影响。