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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
Applicant: Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
Inventor： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
IPC: G06F7/00
CPC classification number: G06F17/30303
Abstract: 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.
Abstract translation: 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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公开(公告)号：US20130151487A1
公开(公告)日：2013-06-13
申请号：US13313518
申请日：2011-12-07
Applicant: SNIGDHA CHATURVEDI , TANVEER A. FARUQUIE , HIMA P. KARANAM , MARVIN MENDELSSOHN , MUKESH K. MOHANIA , L. VENKATA SUBRAMANIAM
Inventor： SNIGDHA CHATURVEDI , TANVEER A. FARUQUIE , HIMA P. KARANAM , MARVIN MENDELSSOHN , MUKESH K. MOHANIA , L. VENKATA SUBRAMANIAM
CPC classification number: G06F17/30303
Abstract: 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.
Abstract translation: 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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公开(公告)号：US08010595B2
公开(公告)日：2011-08-30
申请号：US11289147
申请日：2005-11-29
Applicant: Tanveer A Faruquie , Sandeep Jindal , Abhishek Verma
Inventor： Tanveer A Faruquie , Sandeep Jindal , Abhishek Verma
IPC: G06F15/16
Abstract: A system (30) and method are provided for single-pass execution of dynamic pages across multiple request-response cycles. The system (30) comprises a client (32) and server (34) in communication with one another. A container (35) resides on the server and handles requests made for the result of a dynamic page (36). The container controls the processing of the dynamic page. If the dynamic page requires additional information to continue processing, an intermediate request (44) is transmitted to the client, which responds with an intermediate response (46) containing the additional information. A notifier servlet (38) receives the intermediate response and passes the information to the dynamic page so that execution can resume without interruption.
Abstract translation: 提供了一种用于在多个请求 - 响应周期内单次执行动态页面的系统（30）和方法。 系统（30）包括彼此通信的客户机（32）和服务器（34）。 容器（35）驻留在服务器上并处理为动态页面（36）产生的请求。 容器控制动态页面的处理。 如果动态页面需要附加信息以继续处理，则中间请求（44）被发送到客户端，客户端用包含附加信息的中间响应（46）进行响应。 通知器servlet（38）接收中间响应并将该信息传递给动态页面，以便执行可以不中断地恢复。
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公开(公告)号：US20090196427A1
公开(公告)日：2009-08-06
申请号：US12023110
申请日：2008-01-31
Applicant: Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
Inventor： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
IPC: H04K1/04
CPC classification number: H04K1/00
Abstract: Techniques for protecting information in an audio file are provided. The techniques include obtaining an audio file, detecting information beating one or more segments in a speech signal, wherein the information comprises information sought for protection, encrypting the information sought for protection by scrambling the one or more segments using a scrambling filter, and selectively decrypting an amount of the encrypted information, wherein the amount of the encrypted information to be decrypted depends on user access privilege, and wherein selectively decrypting the amount of the encrypted information protects said amount of the encrypted information. Techniques are also provided for protecting information in an audio file.
Abstract translation: 提供了用于保护音频文件中的信息的技术。 所述技术包括：获取音频文件，检测在语音信号中跳动一个或多个分段的信息，其中所述信息包括寻求保护的信息，通过使用加扰滤波器对所述一个或多个分段进行加扰来加密寻求保护的信息，以及选择性地解密 加密信息的量，其中要被解密的加密信息的量取决于用户访问权限，并且其中选择性地解密加密信息的量保护所述加密信息量。 还提供了用于保护音频文件中的信息的技术。
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公开(公告)号：US09104709B2
公开(公告)日：2015-08-11
申请号：US13422280
申请日：2012-03-16
Applicant: Snigdha Chaturvedi , Tanveer A Faruquie , Hima P Karanam , Mukesh K Mohania , L Venkata Subramaniam
Inventor： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P Karanam , Mukesh K Mohania , L Venkata Subramaniam
CPC classification number: G06F17/30306 , G06F17/30303 , G06F17/30536
Abstract: 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.
Abstract translation: 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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Patent Agency Ranking
6.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
Applicant: Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
Inventor： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
CPC classification number: G06F17/30705 , G06F17/2775 , G06F17/30675 , G06F2216/03 , G06Q10/06 , G06Q10/10 , G06Q30/02
Abstract: 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.
Abstract translation: 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
Applicant: Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
Inventor： Snigdha Chaturvedi , Tanveer A. Faruquie , Hima P. Karanam , Mukesh K. Mohania , L. Venkata Subramaniam
IPC: G06F17/30
CPC classification number: G06F16/217 , G06F16/215 , G06F16/2462
Abstract: 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.
Abstract translation: 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：US07978853B2
公开(公告)日：2011-07-12
申请号：US12023110
申请日：2008-01-31
Applicant: Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
Inventor： Raghuram Krishnapuram , Nandita J. Mahajan , L. Venkat Subramaniam , Vivek Tyagi , Tanveer A. Faruquie
IPC: H04N7/167
CPC classification number: H04K1/00
Abstract: Techniques for protecting information in an audio file are provided. The techniques include obtaining an audio file, detecting information beating one or more segments in a speech signal, wherein the information comprises information sought for protection, encrypting the information sought for protection by scrambling the one or more segments using a scrambling filter, and selectively decrypting an amount of the encrypted information, wherein the amount of the encrypted information to be decrypted depends on user access privilege, and wherein selectively decrypting the amount of the encrypted information protects said amount of the encrypted information. Techniques are also provided for protecting information in an audio file.
Abstract translation: 提供了用于保护音频文件中的信息的技术。 所述技术包括：获取音频文件，检测在语音信号中跳动一个或多个分段的信息，其中所述信息包括寻求保护的信息，通过使用加扰滤波器对所述一个或多个分段进行加扰来加密寻求保护的信息，以及选择性地解密 加密信息的量，其中要被解密的加密信息的量取决于用户访问权限，并且其中选择性地解密加密信息的量保护所述加密信息量。 还提供了用于保护音频文件中的信息的技术。
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公开(公告)号：US10163063B2
公开(公告)日：2018-12-25
申请号：US13414374
申请日：2012-03-07
Applicant: Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
Inventor： Snigdha Chaturvedi , Tanveer A Faruquie , Hima P. Karanam , Marvin Mendelssohn , Mukesh K. Mohania , L. Venkata Subramaniam
Abstract: 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.
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公开(公告)号：US08700542B2
公开(公告)日：2014-04-15
申请号：US12969497
申请日：2010-12-15
Applicant: Mohan N. Dani , Tanveer A. Faruquie , Hima P. Karanam , L. Venkata Subramaniam , Girish Venkatachaliah
Inventor： Mohan N. Dani , Tanveer A. Faruquie , Hima P. Karanam , L. Venkata Subramaniam , Girish Venkatachaliah
IPC: G06F17/30
CPC classification number: G06N5/025
Abstract: Systems, methods, and computer products for optimally managing large rule sets are disclosed. Rule dependencies of rules within a set of rules may be determined as a function of rules execution frequency data generated from applying the rules over a data set. The rules within the set of rules may be clustered into rules clusters based on the determined rule dependencies, in which the rules clusters comprise disjoint subsets of the rules within the set of rules. Cluster frequency data for the rules clusters may be used to arrive at an optimal ordering. Each rule within the set of rules may be assigned a unique identification that may capture an execution order of the rules within the set of rules.
Abstract translation: 公开了用于最佳管理大规则集的系统，方法和计算机产品。 一组规则中的规则的规则依赖性可以被确定为通过在数据集上应用规则而生成的规则执行频率数据的函数。 基于所确定的规则依赖性，该组规则中的规则可以被聚集到规则集群中，其中规则集合包括规则集合内的规则的不相交的子集。 可以使用规则集群的群集频率数据来获得最佳排序。 该组规则中的每个规则可以被分配唯一的标识，其可以捕获规则集合内的规则的执行顺序。
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