Invention Grant
- Patent Title: Abstracting events for data mining
- Patent Title (中): 数据挖掘抽象事件
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Application No.: US12578603Application Date: 2009-10-14
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Publication No.: US08280899B2Publication Date: 2012-10-02
- Inventor: David Lo , Ganesan Ramalingam , Venkatesh-Prasad Ranganath , Kapil Vaswani
- Applicant: David Lo , Ganesan Ramalingam , Venkatesh-Prasad Ranganath , Kapil Vaswani
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Main IPC: G06F7/00
- IPC: G06F7/00

Abstract:
An event is described herein as being representable by a quantified abstraction of the event. The event includes at least one predicate, and the at least one predicate has at least one constant symbol corresponding thereto. An instance of the constant symbol corresponding to the event is identified, and the instance of the constant symbol is replaced by a free variable to obtain an abstracted predicate. Thus, a quantified abstraction of the event is composed as a pair: the abstracted predicate and a mapping between the free variable and an instance of the constant symbol that corresponds to the predicate. A data mining algorithm is executed over abstracted, quantified events to ascertain a correlation between the event and another event.
Public/Granted literature
- US20110087700A1 ABSTRACTING EVENTS FOR DATA MINING Public/Granted day:2011-04-14
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