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1. 发明授权

US08626116B2 Reducing computational complexity during user data analysis 有权
标题翻译：降低用户数据分析过程中的计算复杂度
公开(公告)号：US08626116B2
公开(公告)日：2014-01-07
申请号：US13505012
申请日：2009-11-03
申请人： J Mohamed Zahoor
发明人： J Mohamed Zahoor
IPC分类号： H04M11/00
CPC分类号： H04M15/58 , G06Q30/02 , H04W8/18
摘要： A method and apparatus for handling data related to users in a telecommunication network to support analysis of said users. Plural sets of parameter values relating to the users are read once, and a first level quantization cell is determined for each set of parameter values according to a default first level quantization scheme. Then, clusters of first level quantization cells populated by users are identified and an adaptive second level quantization scheme is formed by translating the identified clusters into second level quantization cells. Representative parameter values are also assigned to each second level quantization cell, wherein the representative parameter values are used for analyzing the users.
摘要翻译：一种用于处理与电信网络中的用户相关的数据以支持所述用户的分析的方法和装置。读取与用户相关的多组参数值一次，并且根据默认的第一级量化方案为每组参数值确定第一级量化单元。然后，识别由用户填充的第一级量化单元的簇，并且通过将所识别的簇转换为第二级量化单元来形成自适应第二级量化方案。代表参数值也被分配给每个第二级量化单元，其中代表参数值用于分析用户。

2. 发明授权

US08224622B2 Method and apparatus for distribution-independent outlier detection in streaming data 有权
标题翻译：流数据中与分布无关的异常值检测的方法和装置
公开(公告)号：US08224622B2
公开(公告)日：2012-07-17
申请号：US12509714
申请日：2009-07-27
申请人： N Hari Kumar , J Mohamed Zahoor
发明人： N Hari Kumar , J Mohamed Zahoor
IPC分类号： G06F17/18
CPC分类号： G06K9/6223 , G06K9/6284
摘要： The present invention relates to an iterative method and an apparatus for distribution-independent detection of intermediate outliers and outliers in the distribution tail of streamed data. A considerable sequence of streamed data is sequentially read and subsequently assigned to matching bins. The bins are adaptively allocated when, where and if they are needed. Each bin range expands concurrently with the distribution range of the accumulating items assigned to the bin, adding a margin. For every N'th read item, overlapping or adjoining bins are merged, whereupon the bins are assessed for insider preclusion. Information regarding outliers is extracted from the remaining outlier bins when the entire data sequence has been processed.
摘要翻译：本发明涉及一种迭代方法和一种用于分布独立检测流数据分布尾的中间异常值和异常值的装置。顺序读取相当数量的流数据，并随后将其分配给匹配的存储区。箱子在何时何地需要自适应分配。每个仓范围与分配给仓的累积项目的分布范围同时扩展，并增加一个余量。对于每第N个阅读项目，重叠或相邻的箱子被合并，因此对这些箱子进行内部评估。当处理整个数据序列时，从剩余的离群值中提取关于异常值的信息。

3. 发明申请

US20120214440A1 Reducing Computational Complexity During User Data Analysis 有权
标题翻译：降低用户数据分析过程中的计算复杂度
公开(公告)号：US20120214440A1
公开(公告)日：2012-08-23
申请号：US13505012
申请日：2009-11-03
申请人： J. Mohamed Zahoor
发明人： J. Mohamed Zahoor
IPC分类号： H04W28/00
CPC分类号： H04M15/58 , G06Q30/02 , H04W8/18
摘要： A method and apparatus for handling data related to users in a telecommunication network to support analysis of said users. Plural sets of parameter values relating to the users are read once, and a first level quantization cell is determined for each set of parameter values according to a default first level quantization scheme. Then, clusters of first level quantization cells populated by users are identified and an adaptive second level quantization scheme is formed by translating the identified clusters into second level quantization cells. Representative parameter values are also assigned to each second level quantization cell, wherein the representative parameter values are used for analysing the users.
摘要翻译：一种用于处理与电信网络中的用户相关的数据以支持所述用户的分析的方法和装置。读取与用户相关的多组参数值一次，并且根据默认的第一级量化方案为每组参数值确定第一级量化单元。然后，识别由用户填充的第一级量化单元的簇，并且通过将所识别的簇转换为第二级量化单元来形成自适应第二级量化方案。代表参数值也被分配给每个第二级量化单元，其中代表参数值用于分析用户。

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