Invention Grant
- Patent Title: Probabilistic data mining model comparison
- Patent Title (中): 概率数据挖掘模型比较
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Application No.: US13214105Application Date: 2011-08-19
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Publication No.: US08990145B2Publication Date: 2015-03-24
- Inventor: Christoph Lingenfelder , Pascal Pompey , Michael Wurst
- Applicant: Christoph Lingenfelder , Pascal Pompey , Michael Wurst
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Konrad, Raynes, Davda and Victor LLP
- Agent Janaki K. Davda
- Priority: EP10186540 20101005
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F17/18 ; G06K9/62

Abstract:
A first data mining model and a second data mining model are compared. 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. 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.
Public/Granted literature
- US20120084251A1 PROBABILISTIC DATA MINING MODEL COMPARISON Public/Granted day:2012-04-05
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