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    • 61. 发明授权
    • System and method for interactive classification and analysis of data
    • 用于数据交互分类和分析的系统和方法
    • US06424971B1
    • 2002-07-23
    • US09429650
    • 1999-10-29
    • Jeffrey Thomas KreulenDharmendra Shantilal ModhaWilliam Scott SpanglerHovey Raymond Strong, Jr.
    • Jeffrey Thomas KreulenDharmendra Shantilal ModhaWilliam Scott SpanglerHovey Raymond Strong, Jr.
    • G06F1730
    • G06F17/3071Y10S707/917Y10S707/99934Y10S707/99936Y10S707/99937Y10S707/99942
    • A system, method, and computer program product for interactively classifying and analyzing data is particularly applicable to classification and analysis of textual data. It is particularly useful in identification of helpdesk inquiry and problem categories amenable to automated fulfillment or solution. A dictionary is generated based on a frequency of occurrence of words in a document set. A count of occurrences of each word in the dictionary within each document in the document set is generated. The set of documents is partitioned into a plurality of clusters. A name, a centroid, a cohesion score, and a distinctness score are generated for each cluster and displayed in a table. The documents contained in the clusters sorted based on their similarity to other documents in the cluster. The similarity may be determined by calculating the distance of the document to the centroid of the cluster and the documents may be sorted in order of ascending or descending distance of the document to the centroid of the cluster. Editing input may be received from a user and the displayed table modified based on the received editing input—clusters may be split or deleted. The helpdesk application area is only one of many areas to which the present invention may be advantageously applied. One of ordinary skill in the art would recognize that any set of text documents may be classified and subsequently analyzed using the present invention.
    • 用于交互式分类和分析数据的系统,方法和计算机程序产品特别适用于文本数据的分类和分析。 它在识别帮助台查询和符合自动化实现或解决方案的问题类别方面特别有用。 基于文档集中的单词的出现频率生成词典。 生成文档集中每个文档中字典中每个单词出现的次数。 文档集被划分成多个集群。 为每个集群生成一个名称,一个质心,一个内聚分数和一个明确度分数,并显示在一个表中。 集群中包含的文档根据与群集中其他文档的相似性进行排序。 可以通过计算文档到群集的质心的距离来确定相似度,并且文档可以按照文档与群集的质心的升序或降低距离的顺序进行排序。 可以从用户接收编辑输入,并且可以拆分或删除基于所接收的编辑输入簇所修改的显示表。 帮助台应用领域只是有利地应用本发明的许多领域之一。 本领域普通技术人员将认识到,可以使用本发明分类和随后分析任何文本文档集合。
    • 62. 发明授权
    • Method and system for automatic comparison of text classifications
    • 文本分类自动比较的方法和系统
    • US06397215B1
    • 2002-05-28
    • US09429651
    • 1999-10-29
    • Jeffrey Thomas KreulenWilliam Scott SpanglerHovey Raymond Strong, Jr.
    • Jeffrey Thomas KreulenWilliam Scott SpanglerHovey Raymond Strong, Jr.
    • G06F1730
    • G06F17/30705G06F17/2735Y10S707/99936Y10S707/99937
    • A system and method for automatic generation of a comparison list given two different classifications, and automatic sorting of the list in order of similarity. A first dictionary is generated including a subset of words contained in a first document set, the first document set including at least one document and having an associated first classification including at least one class, each class having a class name. A second dictionary is generated including a subset of words contained in a second document set, the second document set including at least one document and having an associated second classification including at least one class, each class having a class name. A common dictionary including words that are common to both the first dictionary and the second dictionary is generated. A count of occurrences of each word in the common dictionary within each document in each document set is generated. A centroid of each class in the space of the common dictionary is generated. A nearest centroid in the second classification for each centroid in the first classification is determined. A list is generated including class names of each class in the first classification and a class name of a corresponding nearest class in the second classification and the class names in the first classification are sorted based on a distance from a nearest centroid in the second classification.
    • 一种用于自动生成比较列表的系统和方法,给出两种不同的分类,并且以相似性的顺序自动排序列表。 生成第一字典,其包括包含在第一文档集中的单词的子集,所述第一文档集包括至少一个文档,并具有包括至少一个类的相关联的第一分类,每个类具有类名称。 生成包括第二文档集中包含的单词的子集的第二字典,所述第二文档集包括至少一个文档,并且具有包括至少一个类的相关联的第二分类,每个类具有类名称。 生成包含第一字典和第二字典共同的单词的通用字典。 生成每个文档集中每个文档中的公用字典中每个单词的出现次数。 生成公共字典空间中每个类的质心。 确定第一分类中每个质心的第二分类中最接近的质心。 生成包括第一分类中的每个类的类名和第二分类中对应的最近类的类名的列表,并且基于与第二分类中的最近质心的距离对第一分类中的类名进行排序。
    • 67. 发明授权
    • Fiber-optic gas composition sensor for exhaust gases
    • 用于废气的光纤气体组成传感器
    • US5979423A
    • 1999-11-09
    • US87070
    • 1998-05-29
    • Bennie PoindexterJeffrey Thomas RemillardWilles Henry Weber
    • Bennie PoindexterJeffrey Thomas RemillardWilles Henry Weber
    • F02D41/14G01N30/74
    • F02D41/1451
    • An on-board gas composition sensor is disclosed for monitoring oxygen content levels in the exhaust gas (24) of an internal combustion engine (4). The gas composition sensor includes a sensor body (20) mounted inan exhaust stream from an engine (4), with a fiber-optic cable (18) running from the sensor body (20) to a silicon chip (13) containing a sensor assembly(10). The sensor assembly (10) includes a light source (12), mounted on the chip (13), for generating excitation light. Also, a fiber-optic coupler (16), formed in the chip, operatively engages a second fiber-optic cable (15), mounted in a groove on the chip. The second cable (15) connects to a fluorescence detector (34) and an excitation detector (36). The two detectors produce output signals (35, 37) that are used by the electronic engine control (8) to adjust engine operation.
    • 公开了一种用于监测内燃机(4)的废气(24)中的氧含量水平的车载气体组成传感器。 气体成分传感器包括安装在来自发动机(4)的排气流中的传感器体(20),其中从传感器主体(20)延伸到包含传感器组件(13)的硅芯片(13)的光纤电缆(18) (10)。 传感器组件(10)包括安装在芯片(13)上的用于产生激发光的光源(12)。 此外,形成在芯片中的光纤耦合器(16)可操作地接合安装在芯片上的凹槽中的第二光纤电缆(15)。 第二电缆(15)连接到荧光检测器(34)和激励检测器(36)。 两个检测器产生由电子发动机控制器(8)用于调节发动机运行的输出信号(35,37)。