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公开(公告)号：WO2012084320A3
公开(公告)日：2013-01-10
申请号：PCT/EP2011069333
申请日：2011-11-03
Applicant: IBM , LINGENFELDER CHRISTOPH , WURST DR MICHAEL , POMPEY PASCAL
Inventor： LINGENFELDER CHRISTOPH , WURST DR MICHAEL , POMPEY PASCAL
CPC classification number: G06N7/005 , G06F17/18 , G06K9/6256 , G06K9/6277
Abstract: A method (100) for carrying out a predictive analysis is provided which generates a predictive model (Padj (Y | X)) based on two separate pieces of information, namely - a set of original training data (Dorig), and - a "true" distribution of indicators (Ptrue(X)). The method (100) begins by generating a base model distribution (Pgen(Y | X)) from the original training data set (Dorig) containing tuples (x, y) of indicators (x) and corresponding labels (y) (step 120). Using the "true" distribution (Ptrue(X)) of indicators, a random data set (D') of indicator records (x) is generated reflecting this "true" distribution (Ptrue(X)) (step 140). Subsequently, the base model (Pgen(Y | X)) is applied to said random data set (D'), thus assigning a label (y) or a distribution of labels to each indicator record (x) in said random data set (D') and generating an adjusted training set (Dadj) (step 150). Finally, an adjusted predictive model (Padj (Y | X)) is trained based on said adjusted training set (Dadj) (step 160).
Abstract translation: 提供一种用于执行预测分析的方法（100），其基于两个单独的信息生成预测模型（Padj（Y | X）），即，一组原始训练数据（Dorig），以及 - “ 真实“指标分布（Ptrue（X））。 方法（100）从包含指示符（x）和对应标签（y）的元组（x，y））的原始训练数据集（Dorig）生成基本模型分布（Pgen（Y | X））（步骤120 ）。 使用指示符的“真”分布（Ptrue（X）），生成反映该“真”分布（Ptrue（X））的指示符记录（x）的随机数据集（D'）（步骤140）。 随后，将基本模型（Pgen（Y | X））应用于所述随机数据集（D'），从而将标签（y）或标签分布分配给所述随机数据集中的每个指示符记录（x） D'）并生成调整训练集（Dadj）（步骤150）。 最后，基于所述调整训练集（Dadj）来训练经调整的预测模型（Padj（Y | X））（步骤160）。
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公开(公告)号：CA2154020C
公开(公告)日：2001-10-16
申请号：CA2154020
申请日：1995-07-17
Applicant: IBM
Inventor： DEINHART KLAUS , GLIGOR VIRGIL D , LINGENFELDER CHRISTOPH , LORENZ SVEN
Abstract: A method and system for registration, authorization, and control of access r ights in a computer system are disclosed in the present invention. The inventive method forcontrolling access rights of subjects on objects in a computer system uses parameterized role types that can be instantiated into role instances equivalent to roles or groups as known from the prior art. The required parameters are provided by the subjec t of the computer system, e.g. by a person, a job position or an organization unit. F urthermore, the inventive method provides relative resource sets which are instantiated into concrete resource sets and individual resources by using the same parameter values as forinstantiating the role types. The inventive system f or authorization and control of access rights as disclosed in the present invention comprises capability lists prov iding the access rights of the subjects on the objects of a computer system on a per subject basis. Furthermore, the inventive system comprises means for deriving access contro l lists from capability lists, wherein said access rights of the subjects on the respecti ve objects are provided .
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公开(公告)号：WO2012045496A3
公开(公告)日：2012-09-07
申请号：PCT/EP2011062076
申请日：2011-07-14
Applicant: IBM , LINGENFELDER CHRISTOPH , WURST MICHAEL , POMPEY PASCAL
Inventor： LINGENFELDER CHRISTOPH , WURST MICHAEL , POMPEY PASCAL
Abstract: Comparison engine for comparing a first data mining model and a second data mining model is disclosed. A first data mining model M1 represents results of a first data mining task on a first data set D1 and provides a set of first prediction values. A second data mining model M2 represents results of a second data mining task on a second data set D2 and provides a set of second prediction values. A relation R is determined between said sets of prediction values. For at least a first record of an input data set, a first and second probability distribution is created based on the first and second data mining models applied to the first record, said probability distributions associating probabilities with said sets of prediction values.A distance measure d is calculated for said first record using the first and second probability distributions and the relation. At least one region of interest is determined based on said distance measure d.
Abstract translation: 公开了用于比较第一数据挖掘模型和第二数据挖掘模型的比较引擎。 第一数据挖掘模型M1表示第一数据集D1上的第一数据挖掘任务的结果并提供一组第一预测值。 第二数据挖掘模型M2表示第二数据集D2上的第二数据挖掘任务的结果并提供一组第二预测值。 在所述多组预测值之间确定关系R. 对于输入数据集的至少第一记录，基于应用于第一记录的第一和第二数据挖掘模型来创建第一和第二概率分布，所述概率分布将概率与所述组预测值相关联。 使用第一和第二概率分布和关系为所述第一记录计算d。 基于所述距离度量d来确定至少一个感兴趣区域。
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Patent Agency Ranking
公开(公告)号：WO2007104611A3
公开(公告)日：2008-01-03
申请号：PCT/EP2007051025
申请日：2007-02-02
Applicant: IBM , BOLLINGER TONI , DORNEICH ANSGAR , LINGENFELDER CHRISTOPH
Inventor： BOLLINGER TONI , DORNEICH ANSGAR , LINGENFELDER CHRISTOPH
IPC: G06F17/30
CPC classification number: G06F17/30539 , G06F2216/03
Abstract: A computer data structure for compressing data comprised in a set of transactions, each transaction having at least one item, contains a list of identifiers of different items in the set of transactions, information indicating number of identifiers in the list, and bit field information indicating presence of the different items in the set of transactions. The bit field information is organized in accordance with the list for facilitating evaluation of patterns with respect to the set of transactions. When compressing data comprised in a plurality of transactions, a unique identifier is assigned to each different item and, if taxonomy is defined, to each different taxonomy parent. Sets of transactions are formed and then stored using the defined computer data structures. When detecting patterns in input data, a candidate pattern is evaluated using bit map operations on the bit field information of the computer data structures.
Abstract translation: 一种用于压缩包含在一组事务中的数据的计算机数据结构，每个事务具有至少一个项目，包含事务集合中的不同项目的标识符列表，指示列表中的标识符数量的信息，以及指示 在一组交易中存在不同的项目。 位字段信息根据用于促进对该组交易的模式的评估的列表进行组织。 当压缩包含在多个事务中的数据时，将唯一的标识符分配给每个不同的项目，并且如果已经定义了分类法，则分配给每个不同的分类父类。 形成事务集，然后使用定义的计算机数据结构进行存储。 当检测输入数据中的图案时，使用位图操作来评估候选图案对计算机数据结构的位域信息。
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公开(公告)号：GB2515056A
公开(公告)日：2014-12-17
申请号：GB201310453
申请日：2011-11-03
Applicant: IBM
Inventor： LINGENFELDER CHRISTOPH , WURST MICHAEL , POMPEY PASCAL
Abstract: A method (100) for carrying out a predictive analysis is provided which generates a predictive model (Padj (Y | X)) based on two separate pieces of information, namely - a set of original training data (Dorig), and - a "true" distribution of indicators (Ptrue(X)). The method (100) begins by generating a base model distribution (Pgen(Y | X)) from the original training data set (Dorig) containing tuples (x, y) of indicators (x) and corresponding labels (y) (step 120). Using the "true" distribution (Ptrue(X)) of indicators, a random data set (D') of indicator records (x) is generated reflecting this "true" distribution (Ptrue(X)) (step 140). Subsequently, the base model (Pgen(Y | X)) is applied to said random data set (D'), thus assigning a label (y) or a distribution of labels to each indicator record (x) in said random data set (D') and generating an adjusted training set (Dadj) (step 150). Finally, an adjusted predictive model (Padj (Y | X)) is trained based on said adjusted training set (Dadj) (step 160).
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公开(公告)号：DE112011104487T5
公开(公告)日：2013-10-17
申请号：DE112011104487
申请日：2011-11-03
Applicant: IBM
Inventor： WURST MICHAEL , LINGENFELDER CHRISTOPH , POMPEY PASCAL
Abstract: Es wird ein Verfahren (100) zum Ausführen einer pädiktiven Analyse bereitgestellt, das ein prädiktives Modell
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公开(公告)号：GB2315888A
公开(公告)日：1998-02-11
申请号：GB9616075
申请日：1996-07-31
Applicant: IBM
Inventor： BIRD COLIN LEONARD , LINGENFELDER CHRISTOPH , PHIPPEN ROBERT WILLIAM , WALLIS GRAHAM DEREK
Abstract: An inherently serial program is processed in parallel, thus leading to higher processing speeds, while maintaining a close approximation to the specific result obtained through a serial running of the program. This goal has been attained based on the fact that the desired degree of closeness between a parallel result and the serial result depends on the particular inherently serial program being run and the type of analysis being performed. That is, some inherently serial processes require a "fine-tuned" result while for others a "coarser" result is acceptable. The frequency at which the parallel branches consolidate their respective results is changed accordingly to alter the degree of closeness between the parallel processed result and the serially processed result.
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公开(公告)号：CA2154020A1
公开(公告)日：1996-02-16
申请号：CA2154020
申请日：1995-07-17
Applicant: IBM
Inventor： DEINHART KLAUS , GLIGOR VIRGIL D , LINGENFELDER CHRISTOPH , LORENZ SVEN
Abstract: A method and system for registration, authorization, and control of access r ights in a computer system are disclosed in the present invention. The inventive method forcontrolling access rights of subjects on objects in a computer system uses parameterized role types that can be instantiated into role instances equivalent to roles or groups as known from the prior art. The required parameters are provided by the subjec t of the computer system, e.g. by a person, a job position or an organization unit. F urthermore, the inventive method provides relative resource sets which are instantiated into concrete resource sets and individual resources by using the same parameter values as forinstantiating the role types. The inventive system f or authorization and control of access rights as disclosed in the present invention comprises capability lists prov iding the access rights of the subjects on the objects of a computer system on a per subject basis. Furthermore, the inventive system comprises means for deriving access contro l lists from capability lists, wherein said access rights of the subjects on the respecti ve objects are provided .
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