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1.发明授权Predicting symptoms of run-time problems in view of analysis of expert decision making 有权鉴于专家决策分析，预测运行时问题的症状公开(公告)号：US09026856B2
公开(公告)日：2015-05-05
申请号：US13605018
申请日：2012-09-06
Applicant: Andrew Hecox , Gavin Romig-Koch
Inventor： Andrew Hecox , Gavin Romig-Koch
CPC classification number: G06F11/0793 , G06F11/0706 , G06F11/079 , H04L41/5061
Abstract: Systems, methods, and non-transitory computer-readable storage media for receiving historical data describing behavior of human subject-matter experts, wherein the historical data links customer problems with solutions, receiving a plurality of human-generated algorithms describing patterns for linking customer problems with solutions based on problem-specific diagnostic data, comparing each algorithm of the plurality of algorithms with the historical data to determine respective predictive scores for linking a customer problem type with a particular solution, and ranking at least part of the plurality of algorithms based on the respective similarity scores.
Abstract translation: 用于接收描述人类主题专家的行为的历史数据的系统，方法和非暂时计算机可读存储介质，其中所述历史数据将解决方案与客户问题联系起来，接收描述用于链接客户问题的模式的多个人生生成的算法 基于特定于问题的诊断数据的解决方案，将多个算法中的每个算法与历史数据进行比较，以确定用于将客户问题类型与特定解决方案链接的相应预测分数，以及基于多个算法的至少一部分 各自的相似度得分。
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2.发明申请PREDICTING SYMPTOMS OF RUN-TIME PROBLEMS BASED ON ANALYSIS OF EXPERT DECISION MAKING 有权基于专家决策分析的运行时间问题的预测症状公开(公告)号：US20140068330A1
公开(公告)日：2014-03-06
申请号：US13605018
申请日：2012-09-06
Applicant: Andrew Hecox , Gavin Romig-Koch
Inventor： Andrew Hecox , Gavin Romig-Koch
CPC classification number: G06F11/0793 , G06F11/0706 , G06F11/079 , H04L41/5061
Abstract: Systems, methods, and non-transitory computer-readable storage media for receiving historical data describing behavior of human subject-matter experts, wherein the historical data links customer problems with solutions, receiving a plurality of human-generated algorithms describing patterns for linking customer problems with solutions based on problem-specific diagnostic data, comparing each algorithm of the plurality of algorithms with the historical data to determine respective predictive scores for linking a customer problem type with a particular solution, and ranking at least part of the plurality of algorithms based on the respective similarity scores.
Abstract translation: 用于接收描述人类主题专家的行为的历史数据的系统，方法和非暂时计算机可读存储介质，其中所述历史数据将解决方案与客户问题联系起来，接收描述用于链接客户问题的模式的多个人生生成的算法 基于特定于问题的诊断数据的解决方案，将多个算法中的每个算法与历史数据进行比较，以确定用于将客户问题类型与特定解决方案链接的相应预测分数，以及基于多个算法的至少一部分 各自的相似度得分。
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