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公开(公告)号:US6038555A
公开(公告)日:2000-03-14
申请号:US872332
申请日:1997-06-10
CPC分类号: H04W12/12 , G06N3/02 , G06Q20/403 , G06Q30/02 , G07F7/08
摘要: A generic anomaly detection engine is described which provides neural network technology to process information such as call detail records and detect anomalies in the information, such as mobile phone fraud. Information from call detail records is pre-processed to form signatures which represent the calling behavior of a subscriber. These signatures are formed in one of a plurality of predetermined formats. The generic anomaly detection engine is instantiated in order to create an anomaly detector which is suitable for a particular situation and during the instantiation process the topology of the neural network components is automatically adjusted to fit the required situation. The topology is adjusted to according to the format of the signatures.
摘要翻译: 描述了一种通用异常检测引擎,其提供神经网络技术来处理诸如呼叫详细记录的信息,并且检测诸如移动电话欺诈的信息中的异常。 来自呼叫详细记录的信息被预先处理以形成表示用户呼叫行为的签名。 这些签名以多种预定格式之一形成。 通用异常检测引擎被实例化,以创建适合于特定情况的异常检测器,并且在实例化过程期间,神经网络部件的拓扑被自动调整以适应所需的情况。 拓扑根据签名的格式进行调整。
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公开(公告)号:US6067535A
公开(公告)日:2000-05-23
申请号:US869884
申请日:1997-06-05
申请人: Phillip William Hobson , Peter Hamer , Kevin John Twitchen , Paul Colin Barson , Simon Field , Timothy John Edwards
发明人: Phillip William Hobson , Peter Hamer , Kevin John Twitchen , Paul Colin Barson , Simon Field , Timothy John Edwards
CPC分类号: H04W12/12 , G06N3/02 , G06Q20/403 , G06Q30/02 , G07F7/08
摘要: A method of managing the processing of information using a first neural network, the information relating to the transmission of messages in a telecommunications network, uses the steps of:(i) monitoring the performance of the first neural network in processing the information;(ii) creating a second neural network of the same topology as the first when a predetermined performance threshold is reached, and(iii) retraining the second neural network while continuing to process the information using the first neural network. If the neural networks are implemented using objects, such retraining can be facilitated by using a persistance mechanism to enable the objects to be stored and moved. Applications in fraud detection.
摘要翻译: 一种使用第一神经网络处理信息的方法,涉及电信网络中的消息传输的信息使用以下步骤:(i)在处理信息时监视第一神经网络的性能; (ii)当达到预定性能阈值时,创建与第一神经网络相同拓扑的第二神经网络,以及(iii)在继续使用第一神经网络处理信息的同时重新训练第二神经网络。 如果使用对象实现神经网络,则可以通过使用持续机制来使得能够存储和移动对象来促进这种再培训。 欺诈检测中的应用
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公开(公告)号:US20080288427A1
公开(公告)日:2008-11-20
申请号:US11949567
申请日:2007-12-03
IPC分类号: G06N3/08
摘要: A method of storing information relating to the transmission of messages by an entity over a given time period comprises the step of creating a signature comprising a plurality of parameters related to the transmission of messages over that time period wherein the parameters comprise at least one parameter related to the transmission of messages over a portion of the period and also related to the position of the portion in the period, to enable output data to be derived from the stored information. The signature may be updated by a weighted averaging process with other more recent signatures. Application in fraud detection where signature representing information in many call detail records from a particular subscriber is fed to a neural network.
摘要翻译: 存储与实体在给定时间段内的消息传输有关的信息的方法包括创建签名,该签名包括与该时间段上的消息传输相关的多个参数,其中参数包括至少一个参数 涉及在该周期的一部分上的消息的传输,并且还与该周期中该部分的位置有关,以使输出数据能够从存储的信息导出。 可以通过加权平均处理与其他更近的签名更新签名。 在欺诈检测中的应用,其中将来自特定用户的许多呼叫详细记录中的信息表示给神经网络。
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公开(公告)号:US5966650A
公开(公告)日:1999-10-12
申请号:US894198
申请日:1997-03-13
CPC分类号: G06K9/62 , H04M15/47 , H04W12/12 , H04M2215/0148
摘要: An arrangement for the detection of fraudulent use of a telephone subscriber's instrument in a mobile telephone system includes an input preprocessor (110), a neural network engine (111) coupled to the preprocessor, and an output postprocessor (112) coupled to the neural network engine. The preprocessor determines for each subscriber a first long term calling profile, a second short term calling profile, and a subscriber profile pattern comprising the difference between the first and second profiles. Each calling profile and subscriber profile pattern comprises a set of values for a respective set of call attributes. The neural network engine comprises a self organizing map trained to effect pattern recognition of the subscriber profile patterns and a multilayer perceptron adapted to determine for each recognized pattern a value indicative of the probability of a fraud being associated with that pattern.
摘要翻译: PCT No.PCT / GB96 / 01663 Sec。 371日期1997年8月13日 102(e)日期1997年8月13日PCT提交1996年7月12日PCT公布。 公开号WO97 / 03533 日期1997年1月30日用于在移动电话系统中检测电话用户乐器的欺诈性使用的安排包括输入预处理器(110),耦合到预处理器的神经网络引擎(111)和输出后处理器(112) 耦合到神经网络引擎。 预处理器为每个用户确定第一长期呼叫简档,第二短期呼叫简档以及包括第一和第二简档之间的差异的用户简档模式。 每个呼叫简档和用户简档模式包括用于相应呼叫属性集合的一组值。 神经网络引擎包括被训练以实现用户简档模式的模式识别的自组织映射,以及适于为每个识别模式确定指示与该模式相关联的欺诈概率的值的多层感知器。
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公开(公告)号:US07275047B2
公开(公告)日:2007-09-25
申请号:US10698171
申请日:2003-10-31
申请人: Gary Howard , Paul Colin Barson , Simon Field , Philip W. Hobson
发明人: Gary Howard , Paul Colin Barson , Simon Field , Philip W. Hobson
IPC分类号: G06F15/18
CPC分类号: G06K9/626 , G06N3/0427 , G06N5/025 , G06N7/005
摘要: A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as to obtain a series of corresponding outputs; (ii) inputting said series of outputs and at least some of said series of inputs to the rule inducer so as to obtain a series of rules which describe relationships between the series of inputs to the data classifier and the series of corresponding outputs from the data classifier.
摘要翻译: 一种使用布置成将输入数据分类为多个类别的规则诱导器的数据分类器来处理与多个示例相关的数据的方法,包括以下步骤:(i)将一系列输入输入到数据分类器 以获得一系列相应的输出; (ii)将所述一系列输出和至少一些所述一系列输入输入到规则诱导器,以便获得一系列规则,其描述数据分类器的一系列输入与来自数据的一系列相应输出之间的关系 分类器
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公开(公告)号:US06647379B2
公开(公告)日:2003-11-11
申请号:US10038103
申请日:2002-01-02
IPC分类号: G06N500
CPC分类号: G06K9/626 , G06N3/0427 , G06N5/025 , G06N7/005
摘要: A computer product for analyzing data representative of account usage, the computer product disposed on a computer readable medium and including instructions for causing a processor to provide a data classifier the data representative of account usage, wherein the data classifier produces in response to the data representative of account usage, classification outputs, provide to a rule inducer input data based on the data representative of account usage and the classification outputs, wherein the rule inducer produces rules descriptive of relationships between the data representative of account usage and the classification outputs. The data classifier can include a neural network and a Bayesian classifier. The input data based on the data representative of account usage can include a combination of the data representative of account usage and the classification outputs.
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公开(公告)号:US06920440B1
公开(公告)日:2005-07-19
申请号:US08888361
申请日:1997-07-03
申请人: Paul Colin Barson
发明人: Paul Colin Barson
摘要: A method of storing information relating to the transmission of messages by an entity over a given time period comprises the step of creating a signature comprising a plurality of parameters related to the transmission of messages over that time period wherein the parameters comprise at least one parameter related to the transmission of messages over a portion of the period and also related to the position of the portion in the period, to enable output data to be derived from the stored information. The signature may be updated by a weighted averaging process with other more recent signatures. Application in fraud detection where signature representing information in many call detail records from a particular subscriber is fed to a neural network.
摘要翻译: 存储与实体在给定时间段内的消息传输有关的信息的方法包括创建签名,该签名包括与该时间段上的消息传输相关的多个参数,其中参数包括至少一个参数 涉及在该周期的一部分上的消息的传输,并且还与该周期中该部分的位置有关,以使输出数据能够从存储的信息导出。 可以通过加权平均处理与其他更近的签名更新签名。 在欺诈检测中的应用,其中将来自特定用户的许多呼叫详细记录中的信息表示给神经网络。
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