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公开(公告)号：US08949204B2
公开(公告)日：2015-02-03
申请号：US13597589
申请日：2012-08-29
CPC分类号： G06F17/00 , G06F17/30 , G06F17/30303
摘要： Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.
摘要翻译： 这里描述了用于有效开发基于规则的系统的方法，系统，设备和产品。 一方面提供了一种包括访问数据记录的方法; 将所述数据记录转换成中间形式; 利用中间形式来计算所述数据记录的相似度分数; 并且选择为规则提供用于规则制作所述数据记录的至少一个记录，其具有指示与已经考虑的示例的不相似性的最大不相似性分数。
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2.发明申请SYSTEMS AND METHODS FOR EFFICIENT DEVELOPMENT OF A RULE-BASED SYSTEM USING CROWD-SOURCING 失效使用CROWD-SOURCING的基于规则的系统的有效开发的系统和方法公开(公告)号：US20120221508A1
公开(公告)日：2012-08-30
申请号：US13036454
申请日：2011-02-28
CPC分类号： G06F17/00 , G06F17/30 , G06F17/30303
摘要： Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.
摘要翻译： 这里描述了用于有效开发基于规则的系统的方法，系统，设备和产品。 一方面提供了一种包括访问数据记录的方法; 将所述数据记录转换成中间形式; 利用中间形式来计算所述数据记录的相似度分数; 并且选择为规则提供用于规则制作所述数据记录的至少一个记录，其具有指示与已经考虑的示例的不相似性的最大不相似性分数。
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3.发明授权Systems and methods for efficient development of a rule-based system using crowd-sourcing 失效使用群众采购有效开发基于规则的系统的系统和方法公开(公告)号：US08635197B2
公开(公告)日：2014-01-21
申请号：US13036454
申请日：2011-02-28
CPC分类号： G06F17/00 , G06F17/30 , G06F17/30303
摘要： Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.
摘要翻译： 这里描述了用于有效开发基于规则的系统的方法，系统，设备和产品。 一方面提供了一种包括访问数据记录的方法; 将所述数据记录转换成中间形式; 利用中间形式来计算所述数据记录的相似度分数; 并且选择为规则提供用于规则制作所述数据记录的至少一个记录，其具有指示与已经考虑的示例的不相似性的最大不相似性分数。
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4.发明申请EFFICIENT DEVELOPMENT OF A RULE-BASED SYSTEM USING CROWD-SOURCING 审中-公开使用CROWD-SOURCING的基于规则的系统的有效开发公开(公告)号：US20120323866A1
公开(公告)日：2012-12-20
申请号：US13597589
申请日：2012-08-29
IPC分类号： G06F17/30
CPC分类号： G06F17/00 , G06F17/30 , G06F17/30303
摘要： Described herein are methods, systems, apparatuses and products for efficient development of a rule-based system. An aspect provides a method including accessing data records; converting said data records to an intermediate form; utilizing intermediate forms to compute similarity scores for said data records; and selecting as an example to be provided for rule making at least one record of said data records having a maximum dissimilarity score indicative of dissimilarity to already considered examples.
摘要翻译： 这里描述了用于有效开发基于规则的系统的方法，系统，设备和产品。 一方面提供了一种包括访问数据记录的方法; 将所述数据记录转换成中间形式; 利用中间形式来计算所述数据记录的相似度分数; 并且选择为规则提供用于规则制作所述数据记录的至少一个记录，其具有指示与已经考虑的示例的不相似性的最大不相似性分数。
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公开(公告)号：US06813607B1
公开(公告)日：2004-11-02
申请号：US09494582
申请日：2000-01-31
申请人： Tanveer Afzal Faruquie , Chalapathy Neti , Nitendra Rajput , L. Venkata Subramaniam , Ashish Verma
发明人： Tanveer Afzal Faruquie , Chalapathy Neti , Nitendra Rajput , L. Venkata Subramaniam , Ashish Verma
IPC分类号： G10L1100
CPC分类号： G10L13/00 , G10L15/00 , G10L21/06 , G10L2021/105
摘要： A computer implemented method in a language independent system generates audio-driven facial animation given the speech recognition system for just one language. The method is based on the recognition that once alignment is generated, the mapping and the animation hardly have any language dependency in them. Translingual visual speech synthesis can be achieved if the first step of alignment generation can be made speech independent. Given a speech recognition system for a base language, the method synthesizes video with speech of any novel language as the input.
摘要翻译： 语言独立系统中的计算机实现的方法产生音频驱动的面部动画，给出仅一种语言的语音识别系统。 该方法基于识别一旦生成对齐，映射和动画在它们中几乎没有任何语言依赖关系。 如果可以使语音不依赖于对准生成的第一步，则可以实现视觉语音合成。 给定基本语言的语音识别系统，该方法以任何新颖语言的语音合成视频作为输入。
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公开(公告)号：US09697301B2
公开(公告)日：2017-07-04
申请号：US12859607
申请日：2010-08-19
申请人： Tanveer Afzal Faruquie , Sachindra Joshi , Hima Prasad Karanam , Mukesh Kumar Mohania , Sriram K. Padmanabhan , L. Venkata Subramaniam
发明人： Tanveer Afzal Faruquie , Sachindra Joshi , Hima Prasad Karanam , Mukesh Kumar Mohania , Sriram K. Padmanabhan , L. Venkata Subramaniam
IPC分类号： G06F17/30
CPC分类号： G06F17/30961
摘要： Systems and associated methods for address standardization and applications related thereto are described. Embodiments exploit a common context in a taxonomy and a given address to detect and correct deviations in the address. Embodiments establish a possible path from a root of the taxonomy to a leaf in the taxonomy that can possibly generate a given address. Given a new address, embodiments use complete addresses, and/or segments or elements thereof, to compute the representations of the elements and find a closest matching leaf in the taxonomy. Embodiments then traverse the path to a root node to detect the agreement and disagreement between the path and the address entry. Taxonomical structured is thus used to detect, segregate and standardize the expected fields.
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7.发明申请SYSTEMS AND METHODS FOR STANDARDIZATION AND DE-DUPLICATION OF ADDRESSES USING TAXONOMY 有权使用税收的地址标准化和失效的系统和方法公开(公告)号：US20120047179A1
公开(公告)日：2012-02-23
申请号：US12859607
申请日：2010-08-19
申请人： Tanveer Afzal Faruquie , Sachindra Joshi , Hima Prasad Karanam , Mukesh Kumar Mohania , Sriram K. Padmanabhan , L. Venkata Subramaniam
发明人： Tanveer Afzal Faruquie , Sachindra Joshi , Hima Prasad Karanam , Mukesh Kumar Mohania , Sriram K. Padmanabhan , L. Venkata Subramaniam
CPC分类号： G06F17/30961
摘要： Systems and associated methods for address standardization and applications related thereto are described. Embodiments exploit a common context in a taxonomy and a given address to detect and correct deviations in the address. Embodiments establish a possible path from a root of the taxonomy to a leaf in the taxonomy that can possibly generate a given address. Given a new address, embodiments use complete addresses, and/or segments or elements thereof, to compute the representations of the elements and find a closest matching leaf in the taxonomy. Embodiments then traverse the path to a root node to detect the agreement and disagreement between the path and the address entry. Taxonomical structured is thus used to detect, segregate and standardize the expected fields.
摘要翻译： 描述用于地址标准化的系统和相关方法及其相关的应用。 实施例利用分类法和给定地址中的公共上下文来检测和纠正地址中的偏差。 实体建立了从分类的根到可能产生给定地址的分类中的叶的可行路径。 给定新的地址，实施例使用完整的地址和/或其部分或元素来计算元素的表示并在分类中找到最接近的匹配叶。 然后，实施例遍历到根节点的路径以检测路径和地址条目之间的协议和不一致。 因此，分类结构用于检测，分离和规范预期的领域。
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8.发明授权公开(公告)号：US08996524B2
公开(公告)日：2015-03-31
申请号：US13415144
申请日：2012-03-08
申请人： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
CPC分类号： G06F17/30705 , G06F17/2775 , G06F17/30675 , G06F2216/03 , G06Q10/06 , G06Q10/10 , G06Q30/02
摘要： Methods, computer program products and systems are provided for mining for sub-patterns within a text data set. The embodiments facilitate finding a set of N frequently occurring sub-patterns within the data set, extracting the N sub-patterns from the data set, and clustering the extracted sub-patterns into K groups, where each extracted sub-pattern is placed within the same group with other extracted sub-patterns based upon a distance value D that determines a degree of similarity between the sub-pattern and every other sub-pattern within the same group.
摘要翻译： 提供方法，计算机程序产品和系统用于挖掘文本数据集中的子模式。 这些实施例有助于找到数据集内的N个经常出现的子模式的集合，从数据集中提取N个子模式，并将所提取的子模式聚类成K个组，其中每个提取的子模式被放置在 基于距离值D的与其他提取的子模式相同的组，其确定子模式和同一组内的每个其他子模式之间的相似度。
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公开(公告)号：US20120150825A1
公开(公告)日：2012-06-14
申请号：US12966281
申请日：2010-12-13
申请人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F17/30
CPC分类号： G06F16/217 , G06F16/215 , G06F16/2462
摘要： According to one embodiment of the present invention, a system controls cleansing of data within a database system, and comprises a computer system including at least one processor. The system receives a data set from the database system, and one or more features of the data set are selected for determining values for one or more characteristics of the selected features. The determined values are applied to a data quality estimation model to determine data quality estimates for the data set. Problematic data within the data set are identified based on the data quality estimates, where the cleansing is adjusted to accommodate the identified problematic data. Embodiments of the present invention further include a method and computer program product for controlling cleansing of data within a database system in substantially the same manner described above.
摘要翻译： 根据本发明的一个实施例，系统控制数据库系统内的数据清理，并且包括包括至少一个处理器的计算机系统。 系统从数据库系统接收数据集，并且选择数据集的一个或多个特征以确定所选特征的一个或多个特征的值。 将确定的值应用于数据质量估计模型以确定数据集的数据质量估计。 基于数据质量估计来识别数据集中的有问题的数据，其中调整清洁以适应所识别的有问题的数据。 本发明的实施例还包括一种方法和计算机程序产品，用于以与上述基本相同的方式控制数据库系统内的数据清洗。
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公开(公告)号：US08560505B2
公开(公告)日：2013-10-15
申请号：US13313518
申请日：2011-12-07
申请人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
发明人： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
IPC分类号： G06F7/00
CPC分类号： G06F17/30303
摘要： Blocking column selection can include determining a first parameter for each column set of a plurality of column sets, wherein the first parameter indicates distribution of blocks in the column set, and determining a second parameter for each column set. The second parameter can indicate block size for the column set. For each column set, a measure of blockability that is dependent upon at least the first parameter and the second parameter can be calculated using a processor. The plurality of column sets can be ranked according to the measures of blockability.
摘要翻译： 阻塞列选择可以包括确定多个列集合的每个列集合的第一参数，其中第一参数指示列集合中的块的分布，以及为每个列集合确定第二参数。 第二个参数可以指示列集的块大小。 对于每个列集合，可以使用处理器来计算取决于至少第一参数和第二参数的可阻止性的度量。 可以根据阻塞性的测量对多个列集进行排序。
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