Invention Grant
US08832265B2 Automated analysis system for modeling online business behavior and detecting outliers
有权
自动分析系统,用于建模在线业务行为和检测异常值
- Patent Title: Automated analysis system for modeling online business behavior and detecting outliers
- Patent Title (中): 自动分析系统,用于建模在线业务行为和检测异常值
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Application No.: US13461168Application Date: 2012-05-01
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Publication No.: US08832265B2Publication Date: 2014-09-09
- Inventor: Mikhail Borisovich Kozine , Robert I. Wenig , Travis Spence Powell
- Applicant: Mikhail Borisovich Kozine , Robert I. Wenig , Travis Spence Powell
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Stolowitz Ford Cowger LLP
- Main IPC: G06F15/173
- IPC: G06F15/173 ; G06F11/34 ; G06Q10/06

Abstract:
A two-module system is created for automated web activity monitoring. A model is generated and model outliers are identified by the first module of the system. Reports are generated that identify the events based on their significance to the outliers. The model may be automatically and periodically regenerated for different historical time periods of the web sessions. New groups of events may be periodically extracted from new web sessions and applied to the previously generated model by the second module of the system. Model outliers may be identified from the new groups of events. The new events may be analyzed and reported to a web session operator based on their contribution to any identified outliers. Even if no outliers are detected, the new events having a most significant impact on web session operating conditions may be identified and reported in real-time.
Public/Granted literature
- US20130297767A1 AUTOMATED ANALYSIS SYSTEM FOR MODELING ONLINE BUSINESS BEHAVIOR AND DETECTING OUTLIERS Public/Granted day:2013-11-07
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