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1. 发明授权

US10380088B2 Detecting quasi-identifiers in datasets 有权
公开(公告)号：US10380088B2
公开(公告)日：2019-08-13
申请号：US15193536
申请日：2016-06-27
申请人： International Business Machines Corporation
发明人： Stefano Braghin , Aris Gkoulalas-Divanis , Michael Wurst
IPC分类号： G06F16/00 , G06F16/22 , G06F9/50
摘要： Quasi-identifiers (QIDs) are detected in a dataset using a set of computing tasks. The dataset has a plurality of records and a set of attributes. An index is generated for the dataset. The index has an indicator for each attribute value of each record in the dataset. Each indicator specifies all the records in the dataset having the same value for the attribute. Each task is assigned an attribute combination and a subset of the plurality of records in the dataset and is passed to a thread for execution on computing resources. The executing task inspects the set of records specified by the index indicator for each attribute value in the attribute combination to produce a result. The result of at least one task identifies a unique record for the associated attribute combination. The attribute combination producing the unique record is a QID.

2. 发明授权

US09858320B2 Mining patterns in a dataset 有权
公开(公告)号：US09858320B2
公开(公告)日：2018-01-02
申请号：US14524240
申请日：2014-10-27
申请人： International Business Machines Corporation
发明人： Aris Gkoulalas-Divanis , Michael Wurst
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30572
摘要： Accessing data in a database includes receiving, from a first user, a first query for a dataset stored in a database. A first set of patterns is provided in the dataset. For each pattern in the first set of patterns, a significance value is provided in response to the received first query. A set of tags is provided for flagging a pattern of the first set of patterns, the set of tags indicating at least two data categories describing the pattern. Input information received from the first user indicates tags of at least a first subset of patterns of the first set of patterns, wherein each tag of the tags is selected from the set of tags. The significance values of the first subset of patterns are adjusted based on the tags.

3. 发明授权

US09355479B2 Automatic tuning of value-series analysis tasks based on visual feedback 有权
公开(公告)号：US09355479B2
公开(公告)日：2016-05-31
申请号：US13685301
申请日：2012-11-26
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Pascal Pompey , Olivier Verscheure , Michael Wurst
IPC分类号： G06T11/20 , G06F3/01 , G06T11/00 , G06K9/62 , G06K9/00
CPC分类号： G06T11/206 , G06F3/01 , G06K9/00523 , G06K9/6263 , G06T11/00
摘要： A method for selecting an analysis procedure for a value series, including displaying a value series on a computer display monitor, receiving one or more sequences of user provided annotations, where the annotations overlay at least a sub-interval of the value series on the computer display monitor, using the sequences of user provided annotations to select an optimal value series analysis method from a set of value series analysis methods, where selecting an optimal value series analysis method includes determining parameter values for the optimal value series analysis method, and presenting the selected optimal value series analysis method and parameters, and the optimal reconstruction of the annotation sequences to the user.

4. 发明授权

US09069824B2 Accelerating time series data base queries using dictionary based representations 有权
标题翻译：使用基于字典的表示加速时间序列数据库查询
公开(公告)号：US09069824B2
公开(公告)日：2015-06-30
申请号：US13678024
申请日：2012-11-15
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Pascal Pompey , Olivier Verscheure , Michael Wurst
IPC分类号： G06F7/00 , G06F17/00 , G06F17/30
CPC分类号： G06F17/30551
摘要： A method for accelerating time series data base queries includes segmenting an original time series of signal values into non-overlapping chunks, where a time-scale for each of the chunks is much less than the time scale of the entire time series, representing time series signal values in each chunk as a weighted superposition of atoms that are members of a shape dictionary to create a compressed time series, storing the original time series and the compressed time series into a database, determining whether a query is answerable using the compressed time series or the original time series, and whether answering the query using the compressed time series is faster. If answering the query is faster using the compressed representation, the query is executed on weight coefficients of the compressed time series to produce a query result, and the query result is translated back into an uncompressed representation.
摘要翻译：一种用于加速时间序列数据库查询的方法包括将信号值的原始时间序列分割成非重叠块，其中每个块的时间标度远小于整个时间序列的时间尺度，表示时间序列每个块中的信号值作为形状字典成员的原子的加权叠加，以创建压缩时间序列，将原始时间序列和压缩时间序列存储到数据库中，使用压缩时间序列来确定查询是否可回答或原始时间序列，以及使用压缩时间序列回答查询是否更快。如果使用压缩表示回答查询更快，则对压缩时间序列的权重系数执行查询以产生查询结果，并将查询结果转换为未压缩的表示。

5. 发明申请

US20150134650A1 MINING PATTERNS IN A DATASET 有权
标题翻译：数据挖掘模式
公开(公告)号：US20150134650A1
公开(公告)日：2015-05-14
申请号：US14524240
申请日：2014-10-27
申请人： International Business Machines Corporation
发明人： Aris Gkoulalas-Divanis , Michael Wurst
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30572
摘要： Accessing data in a database includes receiving, from a first user, a first query for a dataset stored in a database. A first set of patterns is provided in the dataset. For each pattern in the first set of patterns, a significance value is provided in response to the received first query. A set of tags is provided for flagging a pattern of the first set of patterns, the set of tags indicating at least two data categories describing the pattern. Input information received from the first user indicates tags of at least a first subset of patterns of the first set of patterns, wherein each tag of the tags is selected from the set of tags. The significance values of the first subset of patterns are adjusted based on the tags.
摘要翻译：访问数据库中的数据包括从第一用户接收存储在数据库中的数据集的第一查询。在数据集中提供了第一组模式。对于第一组模式中的每个模式，响应于所接收的第一查询提供有效值。提供一组标签来标记第一组图案的图案，该组标签指示描述图案的至少两个数据类别。从第一用户接收的输入信息指示第一组图案的至少第一模式子集的标签，其中标签的每个标签是从标签组中选择的。基于标签调整模式的第一个子集的重要性值。

6. 发明申请

US20140180992A1 Iterative Active Feature Extraction 有权
标题翻译：迭代主动特征提取
公开(公告)号：US20140180992A1
公开(公告)日：2014-06-26
申请号：US13785132
申请日：2013-03-05
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Christoph Lingenfelder , Pascal Pompey , Olivier Verscheure , Michael Wurst
IPC分类号： G06N5/02
CPC分类号： G06N99/005 , G06N5/02 , G06N5/025 , G06N5/043
摘要： Techniques for iterative feature extraction using domain knowledge are provided. In one aspect, a method for feature extraction is provided. The method includes the following steps. At least one query to predict at least one future value of a given value series based on a statistical model is received. At least two predictions of the future value are produced fulfilling at least the properties of 1) each being as probable as possible given the statistical model and 2) being mutually divert (in terms of numerical distance measure). A user is queried to select one of the predictions. The user may be queried for textual annotations for the predictions. The annotations may be used to identify additional covariates to create an extended set of covariates. The extended set of covariates may be used to improve the accuracy of the statistical model.
摘要翻译：提供了使用域知识进行迭代特征提取的技术。在一方面，提供了一种用于特征提取的方法。该方法包括以下步骤。接收至少一个基于统计模型来预测给定值序列的至少一个未来值的查询。至少产生两个未来价值的预测，至少满足1）的性质，每一个在统计模型中可能是可能的，2）相互转移（在数值距离测量方面）。查询用户以选择其中一个预测。可以查询用户的预测文本注释。注释可用于识别额外的协变量以创建扩展的一组协变量。扩展的协变量组可以用于提高统计模型的准确性。

7. 发明授权

US09980019B2 Adaptive sampling of smart meter data 有权
公开(公告)号：US09980019B2
公开(公告)日：2018-05-22
申请号：US15247226
申请日：2016-08-25
申请人： International Business Machines Corporation
发明人： Carlos A. Alzate Perez , Francesco Fusco , Pascal Pompey , Mathieu Sinn , Michael Wurst
IPC分类号： G08B23/00 , H04Q9/00 , G01D4/00 , H04W4/00 , H04L12/24 , H04L29/08
CPC分类号： H04Q9/00 , G01D4/004 , H04L41/145 , H04L67/1095 , H04L67/125 , H04L67/22 , H04Q2209/60 , H04W4/70 , Y02B90/242 , Y02B90/246 , Y02B90/247 , Y04S20/322 , Y04S20/42 , Y04S20/50
摘要： In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.

8. 发明授权

US09959285B2 Restricting sensitive query results in information management platforms 有权
公开(公告)号：US09959285B2
公开(公告)日：2018-05-01
申请号：US14454808
申请日：2014-08-08
申请人： International Business Machines Corporation
发明人： Aris Gkoulalas-Divanis , Michael Wurst
IPC分类号： G06F7/00 , G06F17/30 , G06F21/62 , H04L29/06
CPC分类号： G06F17/30165 , G06F17/30864 , G06F21/6218 , G06F21/6245 , H04L63/105
摘要： As information becomes more accessible to the public, the ability to predict and estimate sensitive data from the data already available to the general public becomes easier. The existing privacy-preserving data mining approaches only consider the information the user is querying and do not consider the information the user already has, and how the user can use that information in combination with the query information to create sensitive data that the user should not have access to. Some embodiments of the present invention provide a query analysis (QA) program that solves the aforementioned problem by taking into account data that a user may already have, whether it is private data or data that is available to the public, and then using that data, along with the data that would be returned in the query, to determine if sensitive data could be recreated.

9. 发明申请

US20180109854A1 ADAPTIVE SAMPLING OF SMART METER DATA 审中-公开
公开(公告)号：US20180109854A1
公开(公告)日：2018-04-19
申请号：US15844538
申请日：2017-12-16
申请人： International Business Machines Corporation
发明人： Carlos A. Alzate Perez , Francesco Fusco , Pascal Pompey , Mathieu Sinn , Michael Wurst
IPC分类号： H04Q9/00 , H04W4/00 , H04L12/24 , G01D4/00 , H04L29/08
CPC分类号： H04Q9/00 , G01D4/004 , H04L41/145 , H04L67/1095 , H04L67/125 , H04L67/22 , H04Q2209/60 , H04W4/70 , Y02B90/242 , Y02B90/246 , Y02B90/247 , Y04S20/322 , Y04S20/42 , Y04S20/50
摘要： In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data based, at least in part, on one or more similar consumption patterns of meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.

10. 发明申请

US20160342637A1 DETECTING QUASI-IDENTIFIERS IN DATASETS 审中-公开
公开(公告)号：US20160342637A1
公开(公告)日：2016-11-24
申请号：US15193536
申请日：2016-06-27
申请人： International Business Machines Corporation
发明人： Stefano Braghin , Aris Gkoulalas-Divanis , Michael Wurst
IPC分类号： G06F17/30 , G06F9/50
CPC分类号： G06F16/2228 , G06F9/5005 , G06F9/5055
摘要： Quasi-identifiers (QIDs) are detected in a dataset using a set of computing tasks. The dataset has a plurality of records and a set of attributes. An index is generated for the dataset. The index has an indicator for each attribute value of each record in the dataset. Each indicator specifies all the records in the dataset having the same value for the attribute. Each task is assigned an attribute combination and a subset of the plurality of records in the dataset and is passed to a thread for execution on computing resources. The executing task inspects the set of records specified by the index indicator for each attribute value in the attribute combination to produce a result. The result of at least one task identifies a unique record for the associated attribute combination. The attribute combination producing the unique record is a QID.

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