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1. 发明授权

US08112417B2 Method and system for data classification in the presence of a temporal non-stationarity 有权
标题翻译：存在时间非平稳性的数据分类方法和系统
公开(公告)号：US08112417B2
公开(公告)日：2012-02-07
申请号：US12843696
申请日：2010-07-26
申请人： Gideon Berger , Bhubaneswar Mishra
发明人： Gideon Berger , Bhubaneswar Mishra
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06K9/6217 , G06F19/20 , G06F19/24 , G06F21/552 , G06N7/005 , Y10S707/99931 , Y10S707/99932 , Y10S707/99936
摘要： A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified using a Multivariate Adaptive Regression Splines technique. Thereafter, the data and/or parameters of the classified data records are shrunk using a Stein's Estimator Rule technique.
摘要翻译：提供了一种用于确定特定图案的特征的方法和系统。特别地，接收数据记录，并且获得与至少一些数据记录相关联的预定模式。使用该系统和方法，从所接收的数据记录的至少一个子集中提取特定信息，该特定信息指示至少一些数据记录中的特定模式。然后，基于获得的预定图案来确定特定图案是否是意外图案。此外，可以对数据记录中提供的数据和/或参数进行分类和减少。首先，接收数据记录。然后，使用多变量自适应回归样条技术对具有至少一个特定模式的数据记录进行分类。此后，分类数据记录的数据和/或参数使用Stein's Estimator Rule技术收缩。

2. 发明授权

US07478077B2 Method and system for data classification in the presence of a temporal non-stationarity 有权
标题翻译：存在时间非平稳性的数据分类方法和系统
公开(公告)号：US07478077B2
公开(公告)日：2009-01-13
申请号：US10276429
申请日：2001-05-10
申请人： Gideon Berger , Bhubaneswar Mishra
发明人： Gideon Berger , Bhubaneswar Mishra
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06K9/6217 , G06F19/20 , G06F19/24 , G06F21/552 , G06N7/005 , Y10S707/99931 , Y10S707/99932 , Y10S707/99936
摘要： A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified using a Multivariate Adaptive Regression Splines technique. Thereafter, the data and/or parameters of the classified data records are shrunk using a Stein's Estimator Rule technique.
摘要翻译：提供了一种用于确定特定图案的特征的方法和系统。特别地，接收数据记录，并且获得与至少一些数据记录相关联的预定模式。使用该系统和方法，从所接收的数据记录的至少一个子集中提取特定信息，该特定信息指示至少一些数据记录中的特定模式。然后，基于获得的预定图案来确定特定图案是否是意外图案。此外，可以对数据记录中提供的数据和/或参数进行分类和减少。首先，接收数据记录。然后，使用多变量自适应回归样条技术对具有至少一个特定模式的数据记录进行分类。此后，分类数据记录的数据和/或参数使用Stein's Estimator Rule技术收缩。

3. 发明申请

US20100293124A1 Method and System for Data Classification in the Presence of a Temporal Non-Stationarity 有权
标题翻译：时间非平稳性存在的数据分类方法与系统
公开(公告)号：US20100293124A1
公开(公告)日：2010-11-18
申请号：US12843696
申请日：2010-07-26
申请人： Gideon Berger , Bhubaneswar Mishra
发明人： Gideon Berger , Bhubaneswar Mishra
IPC分类号： G06F15/18
CPC分类号： G06K9/6217 , G06F19/20 , G06F19/24 , G06F21/552 , G06N7/005 , Y10S707/99931 , Y10S707/99932 , Y10S707/99936
摘要： A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified using a Multivariate Adaptive Regression Splines technique. Thereafter, the data and/or parameters of the classified data records are shrunk using a Stein's Estimator Rule technique.
摘要翻译：提供了一种用于确定特定图案的特征的方法和系统。特别地，接收数据记录，并且获得与至少一些数据记录相关联的预定模式。使用该系统和方法，从所接收的数据记录的至少一个子集中提取特定信息，该特定信息指示至少一些数据记录中的特定模式。然后，基于获得的预定图案来确定特定图案是否是意外图案。此外，可以对数据记录中提供的数据和/或参数进行分类和减少。首先，接收数据记录。然后，使用多变量自适应回归样条技术对具有至少一个特定模式的数据记录进行分类。此后，分类数据记录的数据和/或参数使用Stein's Estimator Rule技术收缩。

4. 发明授权

US07818318B2 Method and system for data classification in the presence of a temporal non-stationarity 有权
标题翻译：存在时间非平稳性的数据分类方法和系统
公开(公告)号：US07818318B2
公开(公告)日：2010-10-19
申请号：US12352444
申请日：2009-01-12
申请人： Gideon Berger , Bhubaneswar Mishra
发明人： Gideon Berger , Bhubaneswar Mishra
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06K9/6217 , G06F19/20 , G06F19/24 , G06F21/552 , G06N7/005 , Y10S707/99931 , Y10S707/99932 , Y10S707/99936
摘要： A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified using a Multivariate Adaptive Regression Splines technique. Thereafter, the data and/or parameters of the classified data records are shrunk using a Stein's Estimator Rule technique.
摘要翻译：提供了一种用于确定特定图案的特征的方法和系统。特别地，接收数据记录，并且获得与至少一些数据记录相关联的预定模式。使用该系统和方法，从所接收的数据记录的至少一个子集中提取特定信息，该特定信息指示至少一些数据记录中的特定模式。然后，基于获得的预定图案来确定特定图案是否是意外图案。此外，可以对数据记录中提供的数据和/或参数进行分类和减少。首先，接收数据记录。然后，使用多变量自适应回归样条技术对具有至少一个特定模式的数据记录进行分类。此后，分类数据记录的数据和/或参数使用Stein's Estimator Rule技术收缩。

5. 发明申请

US20090182701A1 METHOD AND SYSTEM FOR DATA CLASSIFICATION IN THE PRESENCE OF A TEMPORAL NON-STATIONARITY 有权
标题翻译：在时间不稳定的情况下数据分类的方法和系统
公开(公告)号：US20090182701A1
公开(公告)日：2009-07-16
申请号：US12352444
申请日：2009-01-12
申请人： Gideon Berger , Bhubaneswar Mishra
发明人： Gideon Berger , Bhubaneswar Mishra
IPC分类号： G06N5/02
CPC分类号： G06K9/6217 , G06F19/20 , G06F19/24 , G06F21/552 , G06N7/005 , Y10S707/99931 , Y10S707/99932 , Y10S707/99936
摘要： A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified using a Multivariate Adaptive Regression Splines technique. Thereafter, the data and/or parameters of the classified data records are shrunk using a Stein's Estimator Rule technique.
摘要翻译：提供了一种用于确定特定图案的特征的方法和系统。特别地，接收数据记录，并且获得与至少一些数据记录相关联的预定模式。使用该系统和方法，从所接收的数据记录的至少一个子集中提取特定信息，该特定信息指示至少一些数据记录中的特定模式。然后，基于获得的预定图案来确定特定图案是否是意外图案。此外，可以对数据记录中提供的数据和/或参数进行分类和减少。首先，接收数据记录。然后，使用多变量自适应回归样条技术对具有至少一个特定模式的数据记录进行分类。此后，分类数据记录的数据和/或参数使用Stein's Estimator Rule技术收缩。

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