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1. 发明申请

US20080071721A1 System and method for learning models from scarce and skewed training data 失效
标题翻译：从稀缺和倾斜的训练数据中学习模型的系统和方法
公开(公告)号：US20080071721A1
公开(公告)日：2008-03-20
申请号：US11506226
申请日：2006-08-18
申请人： Haixun Wang , Jian Yin , Philip Shi-lung Yu
发明人： Haixun Wang , Jian Yin , Philip Shi-lung Yu
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： A system and method for learning models from scarce and/or skewed training data includes partitioning a data stream into a sequence of time windows. A most likely current class distribution to classify portions of the data stream is determined based on observing training data in a current time window and based on concept drift probability patterns using historical information.
摘要翻译：用于从稀缺和/或倾斜的训练数据学习模型的系统和方法包括将数据流划分成时间窗口序列。基于在当前时间窗口中观察训练数据并且基于使用历史信息的概念漂移概率模式来确定对数据流的部分进行分类的最可能的当前类别分布。

2. 发明授权

US07630950B2 System and method for learning models from scarce and skewed training data 失效
标题翻译：从稀缺和倾斜的训练数据中学习模型的系统和方法
公开(公告)号：US07630950B2
公开(公告)日：2009-12-08
申请号：US11506226
申请日：2006-08-18
申请人： Haixun Wang , Jian Yin , Philip Shi-lung Yu
发明人： Haixun Wang , Jian Yin , Philip Shi-lung Yu
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06N99/005
摘要： A system and method for learning models from scarce and/or skewed training data includes partitioning a data stream into a sequence of time windows. A most likely current class distribution to classify portions of the data stream is determined based on observing training data in a current time window and based on concept drift probability patterns using historical information.
摘要翻译：用于从稀缺和/或倾斜的训练数据学习模型的系统和方法包括将数据流划分成时间窗口序列。基于在当前时间窗口中观察训练数据并且基于使用历史信息的概念漂移概率模式来确定对数据流的部分进行分类的最可能的当前类别分布。

3. 发明授权

US07890649B2 System and method for scalable processing of multi-way data stream correlations 失效
标题翻译：用于多路数据流相关性的可扩展处理的系统和方法
公开(公告)号：US07890649B2
公开(公告)日：2011-02-15
申请号：US12478627
申请日：2009-06-04
申请人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
发明人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
IPC分类号： G06F7/00
CPC分类号： G06F17/30516 , G06F17/30985 , Y10S707/99945 , Y10S707/99948
摘要： A computer implemented method, apparatus, and computer usable program code for processing multi-way stream correlations. Stream data are received for correlation. A task is formed for continuously partitioning a multi-way stream correlation workload into smaller workload pieces. Each of the smaller workload pieces may be processed by a single host. The stream data are sent to different hosts for correlation processing.
摘要翻译：一种用于处理多路流相关性的计算机实现的方法，装置和计算机可用程序代码。接收流数据进行相关。形成一个任务，用于将多路流相关工作负载连续划分成较小的工作负载。每个较小的工作负载片段可以由单个主机处理。流数据被发送到不同的主机进行相关处理。

4. 发明授权

US07548937B2 System and method for scalable processing of multi-way data stream correlations 失效
标题翻译：用于多路数据流相关性的可扩展处理的系统和方法
公开(公告)号：US07548937B2
公开(公告)日：2009-06-16
申请号：US11417838
申请日：2006-05-04
申请人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
发明人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
IPC分类号： G06F7/00 , G06F15/16
CPC分类号： G06F17/30516 , G06F17/30985 , Y10S707/99945 , Y10S707/99948
摘要： A computer implemented method, apparatus, and computer usable program code for processing multi-way stream correlations. Stream data are received for correlation. A task is formed for continuously partitioning a multi-way stream correlation workload into smaller workload pieces. Each of the smaller workload pieces may be processed by a single host. The stream data are sent to different hosts for correlation processing.
摘要翻译：一种用于处理多路流相关性的计算机实现的方法，装置和计算机可用程序代码。接收流数据进行相关。形成一个任务，用于将多路流相关工作负载连续划分成较小的工作负载。每个较小的工作负载片段可以由单个主机处理。流数据被发送到不同的主机进行相关处理。

5. 发明申请

US20090248749A1 System and Method for Scalable Processing of Multi-Way Data Stream Correlations 失效
标题翻译：用于多路数据流相关性的可扩展处理的系统和方法
公开(公告)号：US20090248749A1
公开(公告)日：2009-10-01
申请号：US12478627
申请日：2009-06-04
申请人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
发明人： Xiaohui Gu , Haixun Wang , Philip Shi-lung Yu
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F17/30516 , G06F17/30985 , Y10S707/99945 , Y10S707/99948
摘要： A computer implemented method, apparatus, and computer usable program code for processing multi-way stream correlations. Stream data are received for correlation. A task is formed for continuously partitioning a multi-way stream correlation workload into smaller workload pieces. Each of the smaller workload pieces may be processed by a single host. The stream data are sent to different hosts for correlation processing.
摘要翻译：一种用于处理多路流相关性的计算机实现的方法，装置和计算机可用程序代码。接收流数据进行相关。形成一个任务，用于将多路流相关工作负载连续划分成较小的工作负载。每个较小的工作负载片段可以由单个主机处理。流数据被发送到不同的主机进行相关处理。

6. 发明授权

US06871201B2 Method for building space-splitting decision tree 失效
标题翻译：建立空间分裂决策树的方法
公开(公告)号：US06871201B2
公开(公告)日：2005-03-22
申请号：US09918952
申请日：2001-07-31
申请人： Philip Shi-lung Yu , Haixun Wang
发明人： Philip Shi-lung Yu , Haixun Wang
IPC分类号： G06F7/00 , G06F17/30 , G06K9/62
CPC分类号： G06F17/30705 , G06K9/6282 , Y10S707/99935 , Y10S707/99937 , Y10S707/99943
摘要： A method is provided for data classification that achieves improved interpretability and accuracy while preserving the efficiency and scalability of univariate decision trees. To build a compact decision tree, the method searches for clusters in subspaces to enable multivariate splitting based on weighted distances to such a cluster. To classify an instance more accurately, the method performs a nearest neighbor (NN) search among the potential nearest leaf nodes of the instance. The similarity measure used in the NN search is based on Euclidean distances defined in different subspaces for different leaf nodes. Since instances are scored by their similarity to a certain class, this approach provides an effective means for target selection that is not supported well by conventional decision trees.
摘要翻译：提供了一种用于数据分类的方法，其实现了改进的可解释性和准确性，同时保持了单变量决策树的效率和可扩展性。为了构建一个紧凑的决策树，该方法将搜索子空间中的群集，以便根据这种群集的加权距离来启用多变量分割。为了更精确地对实例进行分类，该方法在实例的最靠近的叶节点之间执行最近邻（NN）搜索。 NN搜索中使用的相似性度量是基于不同叶节点不同子空间中定义的欧几里德距离。由于实例与某一类别的相似性得分，所以这种方法为常规决策树不能很好地支持目标选择提供了有效的手段。

7. 发明授权

US08051021B2 System and method for resource adaptive classification of data streams 失效
标题翻译：数据流资源自适应分类的系统和方法
公开(公告)号：US08051021B2
公开(公告)日：2011-11-01
申请号：US11530938
申请日：2006-09-12
申请人： Charu Aggarwal , Philip Shi-lung Yu
发明人： Charu Aggarwal , Philip Shi-lung Yu
IPC分类号： G06N5/00
CPC分类号： G06K9/6282 , G06N99/005
摘要： A system and method for resource adaptive classification of data streams. Embodiments of systems and methods provide classifying data received in a computer, including discretizing the received data, constructing an intermediate data structure from said received data as training instances, performing subspace sampling on said received data as test instances and adaptively classifying said received data based on statistics of said subspace sampling.
摘要翻译：一种用于数据流资源自适应分类的系统和方法。系统和方法的实施例提供在计算机中接收的分类数据，包括离散接收的数据，从所接收的数据构建中间数据结构作为训练实例，对所接收的数据进行子空间采样作为测试实例，并基于所述子空间抽样统计。

8. 发明申请

US20090319457A1 METHOD AND APPARATUS FOR STRUCTURAL DATA CLASSIFICATION 有权
标题翻译：用于结构数据分类的方法和装置
公开(公告)号：US20090319457A1
公开(公告)日：2009-12-24
申请号：US12141251
申请日：2008-06-18
申请人： Hong Cheng , Wei Fan , Xifeng Yan , Philip Shi-lung Yu
发明人： Hong Cheng , Wei Fan , Xifeng Yan , Philip Shi-lung Yu
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： Techniques for classifying structural data with skewed distribution are disclosed. By way of example, a method classifying structural input data comprises a computer system performing the following steps. Multiple classifiers are constructed, wherein each classifier is constructed on a subset of training data, using one or more selected composite features from the subset of training data. A consensus among the multiple classifiers is computed in accordance with a voting scheme such that at least a portion of the structural input data is assigned to a particular class in accordance with the computed consensus. Such techniques for structured data classification are capable of handling skewed class distribution and partial feature coverage issues.
摘要翻译：公开了分布具有偏斜分布的结构数据的技术。作为示例，分类结构输入数据的方法包括执行以下步骤的计算机系统。构建多个分类器，其中使用来自训练数据的子集的一个或多个选定的复合特征，在训练数据的子集上构建每个分类器。根据投票方案计算多个分类器之间的共识，使得至少一部分结构输入数据根据所计算的一致性被分配给特定类别。这种用于结构化数据分类的技术能够处理倾斜的类分布和部分特征覆盖问题。

9. 发明申请

US20080189494A1 SYSTEM AND METHOD FOR OPTIMIZING DATA IN VALUE-BASED STORAGE SYSTEM 失效
标题翻译：基于价值的存储系统优化数据的系统与方法
公开(公告)号：US20080189494A1
公开(公告)日：2008-08-07
申请号：US12061879
申请日：2008-04-03
申请人： Nikhil Bansal , Frederick Douglis , Lisa Karen Fleischer , Kirsten Weale Hildrum , Akshay Kumar Reddy Katta , John Davis Palmer , Elizabeth Suzanne Richards , David Tao , William Harold Tetzlaff , Joe Leonard Wolf , Philip Shi-lung Yu
发明人： Nikhil Bansal , Frederick Douglis , Lisa Karen Fleischer , Kirsten Weale Hildrum , Akshay Kumar Reddy Katta , John Davis Palmer , Elizabeth Suzanne Richards , David Tao , William Harold Tetzlaff , Joe Leonard Wolf , Philip Shi-lung Yu
IPC分类号： G06F13/00
CPC分类号： H04L47/2433 , H04L47/2416 , H04L49/90 , H04L49/9084
摘要： A method (and system) of storing data in a value-based storage system, includes optimizing a value of data stored in the value-based storage system.
摘要翻译：一种在基于值的存储系统中存储数据的方法（和系统）包括优化存储在基于价值的存储系统中的数据的值。

10. 发明申请

US20080059466A1 System and method for resource-adaptive, real-time new event detection 有权
标题翻译：用于资源自适应，实时新事件检测的系统和方法
公开(公告)号：US20080059466A1
公开(公告)日：2008-03-06
申请号：US11513988
申请日：2006-08-31
申请人： Gang Luo , Chunqiang Tang , Philip Shi-lung Yu
发明人： Gang Luo , Chunqiang Tang , Philip Shi-lung Yu
IPC分类号： G06F7/00 , G06F17/30 , G06F15/18
CPC分类号： G06F17/30598 , G06F17/30011 , G06F17/30117 , G06F17/30312 , G06F17/30516 , G06F17/30684
摘要： There are provided a system and method for resource adaptive, real-time new event detection. The method includes capturing, from among documents in a document streaming environment, first-story documents that mention previously unmentioned events. The method further includes dynamically adjusting a thoroughness of the capturing step by controlling a number of keywords and documents considered according to a real-time system load.
摘要翻译：提供了一种用于资源自适应，实时新事件检测的系统和方法。该方法包括从文档流传输环境中的文档中捕获提及先前未提及的事件的第一层文件。该方法还包括通过控制根据实时系统负载考虑的关键词和文档的数量来动态地调整捕获步骤的彻底性。

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