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1. 发明申请

US20100262613A1 Data Stream Processing 有权
标题翻译：数据流处理
公开(公告)号：US20100262613A1
公开(公告)日：2010-10-14
申请号：US12422875
申请日：2009-04-13
申请人： Chetan Kumar Gupta , Song Wang , Ismail Ari , Ming C. Hao , Umeshwar Dayal , Abhay Mehta
发明人： Chetan Kumar Gupta , Song Wang , Ismail Ari , Ming C. Hao , Umeshwar Dayal , Abhay Mehta
IPC分类号： G06F17/30
CPC分类号： G06F17/30592 , G06F17/30705 , G06F17/30994
摘要： A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed.
摘要翻译：一种从多个分布式数据产生装置处理原始数据流的方法包括将原始数据减少为多个代表性概要系数，将概要系数组织成具有至少三维的数据结构，包括时间窗口尺寸和精度维度。响应于数据结构中检测到的异常，执行预定的自主动作和由用户指导的动作中的至少一个。

2. 发明授权

US09613123B2 Data stream processing 有权
公开(公告)号：US09613123B2
公开(公告)日：2017-04-04
申请号：US12422875
申请日：2009-04-13
申请人： Chetan Kumar Gupta , Song Wang , Ismail Ari , Ming C. Hao , Umeshwar Dayal , Abhay Mehta
发明人： Chetan Kumar Gupta , Song Wang , Ismail Ari , Ming C. Hao , Umeshwar Dayal , Abhay Mehta
IPC分类号： G06F7/00 , G06F17/30 , G06F17/00
CPC分类号： G06F17/30592 , G06F17/30705 , G06F17/30994
摘要： A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed.

3. 发明申请

US20120041963A1 PROVIDING SELECTED ATTRIBUTES OF STREAMING DATA FOR DISPLAY BY A VISUALIZATION ENGINE 审中-公开
标题翻译：提供选择的可视化发动机显示数据流的属性
公开(公告)号：US20120041963A1
公开(公告)日：2012-02-16
申请号：US12854967
申请日：2010-08-12
申请人： Guruprasad Chintakunta , Rajesh Kottakota , Ming C. Hao , Song Wang , Chetan Kumar Gupta , Abhay Mehta , Umeshwar Dayal
发明人： Guruprasad Chintakunta , Rajesh Kottakota , Ming C. Hao , Song Wang , Chetan Kumar Gupta , Abhay Mehta , Umeshwar Dayal
IPC分类号： G06F17/30
CPC分类号： H04L65/601
摘要： An adapter receives tuples of streaming data from a streaming data source. The adapter extracts selected attributes from the tuples of streaming data, and writes the selected attributes to a buffer associated with a visualization engine for displaying the selected attributes in a visualization screen. The selected attributes are written to the buffer according to a predefined format supported by the visualization engine. The adapter receives interactive user input to change the selected attributes to be extracted from the tuples and written to the buffer.
摘要翻译：适配器从流数据源接收流数据的元组。适配器从流数据的元组提取所选属性，并将所选择的属性写入与可视化引擎相关联的缓冲器，以在可视化屏幕中显示所选择的属性。所选择的属性根据可视化引擎支持的预定格式写入缓冲区。适配器接收交互式用户输入，以更改要从元组中提取的所选属性并写入缓冲区。

4. 发明授权

US09767427B2 Modeling multi-dimensional sequence data over streams 有权
公开(公告)号：US09767427B2
公开(公告)日：2017-09-19
申请号：US12432951
申请日：2009-04-30
申请人： Mo Liu , Song Wang , Chetan Kumar Gupta , Ismail Ari , Abhay Mehta
发明人： Mo Liu , Song Wang , Chetan Kumar Gupta , Ismail Ari , Abhay Mehta
IPC分类号： G06F7/00 , G06Q10/08
CPC分类号： G06Q10/087
摘要： One embodiment is a method that builds a model of multi-dimensional sequence data in real-time with cuboids that aggregate the multi-dimensional sequence data over both patterns and dimensions. The model provides search results for a query.

5. 发明申请

US20100280857A1 MODELING MULTI-DIMENSIONAL SEQUENCE DATA OVER STREAMS 有权
标题翻译：建立多个流程中的多维序列数据
公开(公告)号：US20100280857A1
公开(公告)日：2010-11-04
申请号：US12432951
申请日：2009-04-30
申请人： Mo Liu , Song Wang , Chetan Kumar Gupta , Ismail Ari , Abhay Mehta
发明人： Mo Liu , Song Wang , Chetan Kumar Gupta , Ismail Ari , Abhay Mehta
IPC分类号： G06F17/30 , G06Q10/00
CPC分类号： G06Q10/087
摘要： One embodiment is a method that builds a model of multi-dimensional sequence data in real-time with cuboids that aggregate the multi-dimensional sequence data over both patterns and dimensions. The model provides search results for a query.
摘要翻译：一个实施例是一种通过在两种图案和尺寸上聚合多维序列数据的立方体来实时建立多维序列数据模型的方法。该模型提供查询的搜索结果。

6. 发明授权

US07831594B2 Estimating the static execution time of a database query 有权
标题翻译：估计数据库查询的静态执行时间
公开(公告)号：US07831594B2
公开(公告)日：2010-11-09
申请号：US11799141
申请日：2007-04-30
申请人： Abhay Mehta , Chetan Kumar Gupta , Umeshwar Dayal
发明人： Abhay Mehta , Chetan Kumar Gupta , Umeshwar Dayal
IPC分类号： G06F17/30
CPC分类号： G06F17/30463
摘要： In a method for estimating a static execution time of a database query, a prediction of query runtime tree is built from historical query information. A database query is received. The prediction of query runtime tree is used to estimate the static execution time of the database query.
摘要翻译：在用于估计数据库查询的静态执行时间的方法中，从历史查询信息构建查询运行时树的预测。接收到数据库查询。查询运行时树的预测用于估计数据库查询的静态执行时间。

7. 发明申请

US20080270346A1 Estimating the static execution time of a database query 有权
标题翻译：估计数据库查询的静态执行时间
公开(公告)号：US20080270346A1
公开(公告)日：2008-10-30
申请号：US11799141
申请日：2007-04-30
申请人： Abhay Mehta , Chetan Kumar Gupta , Umeshwar Dayal
发明人： Abhay Mehta , Chetan Kumar Gupta , Umeshwar Dayal
IPC分类号： G06F17/30
CPC分类号： G06F17/30463
摘要： In a method for estimating a static execution time of a database query, a prediction of query runtime tree is built from historical query information. A database query is received. The prediction of query runtime tree is used to estimate the static execution time of the database query.
摘要翻译：在用于估计数据库查询的静态执行时间的方法中，从历史查询信息构建查询运行时树的预测。接收到数据库查询。查询运行时树的预测用于估计数据库查询的静态执行时间。

8. 发明授权

US08892490B2 Determining whether a point in a data stream is an outlier using hierarchical trees 有权
标题翻译：确定数据流中的一个点是否是使用分层树的异常值
公开(公告)号：US08892490B2
公开(公告)日：2014-11-18
申请号：US12887965
申请日：2010-09-22
申请人： Song Wang , Chetan Kumar Gupta , Abhay Mehta
发明人： Song Wang , Chetan Kumar Gupta , Abhay Mehta
IPC分类号： G06N5/02
CPC分类号： G06N5/02
摘要： A technique that includes receiving a data stream that is indicative of a plurality of multi-dimensional points in a processor-based machine and for each dimension, organizing data indicative of values of the points in the dimension in an associated hierarchical tree. The technique includes using the processor-based machine to determine whether a given point of the plurality of points is an outlier based on a combination of the trees.
摘要翻译：一种技术，包括接收指示基于处理器的机器中的多个多维点的数据流，并且针对每个维度，组织指示相关层级树中维度中的点的值的数据。该技术包括使用基于处理器的机器来确定多个点的给定点是否是基于树的组合的异常值。

9. 发明授权

US08660979B2 Event prediction 有权
标题翻译：事件预测
公开(公告)号：US08660979B2
公开(公告)日：2014-02-25
申请号：US13040171
申请日：2011-03-03
申请人： Chetan Kumar Gupta , Song Wang , Abhay Mehta
发明人： Chetan Kumar Gupta , Song Wang , Abhay Mehta
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06N7/005
摘要： A selected set of one or more first events that have occurred within current data is received. An episode set of which the selected set is a subset, the episode set including one or more second events that have occurred within historical data related to the current data is identified. One or more third events that occurred within the historical data within a predetermined time horizon after the one or more second events of the episode set occurred within the historical data are identified. The one or more third events are predicted to likely occur within the current data as a result of the one or more first events having occurred within the current data.
摘要翻译：接收在当前数据内发生的所选择的一个或多个第一事件集合。识别所选集合是其子集的集集，包括在与当前数据相关的历史数据内发生的一个或多个第二事件的剧集集。识别发生在历史数据中的发生集合的一个或多个第二事件之后的预定时间范围内在历史数据内发生的一个或多个第三事件。由于一个或多个第一事件已经在当前数据内发生，所以一个或多个第三事件被预测可能发生在当前数据内。

10. 发明申请

US20130066855A1 NESTED COMPLEX SEQUENCE PATTERN QUERIES OVER EVENT STREAMS 有权
标题翻译：基于事件流的NESTED复杂序列模式查询
公开(公告)号：US20130066855A1
公开(公告)日：2013-03-14
申请号：US13431773
申请日：2012-03-27
申请人： Chetan Kumar Gupta , Song Wang , Abhay Mehta , Mo Liu , Elke Angelika Rundensteiner , Medhabi Ray
发明人： Chetan Kumar Gupta , Song Wang , Abhay Mehta , Mo Liu , Elke Angelika Rundensteiner , Medhabi Ray
IPC分类号： G06F17/30
CPC分类号： G06F17/30477 , G06F17/30864
摘要： A method of evaluating nested complex sequence pattern queries includes obtaining events from an event stream and evaluating the events within a first window using an outer query to produce outer partial results. The method also includes determining a more stringent window constraint, the more stringent window constraint comprising a subset of the window constraint corresponding to events that produces the outer partial results and passing the more stringent window constraint to an inner query nested within the outer query. A complex event processing system is also provided.
摘要翻译：评估嵌套复杂序列模式查询的方法包括从事件流获取事件并且使用外部查询来评估第一窗口内的事件以产生外部部分结果。该方法还包括确定更严格的窗口约束，更严格的窗口约束包括对应于产生外部部分结果的事件的窗口约束的子集，并将更严格的窗口约束传递给嵌套在外部查询内的内部查询。还提供了一个复杂的事件处理系统。

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