Abstracting Events for Data Mining

Author

David LO, Singapore Management UniversityFollow
Ganesan RAMALINGAM
Venkatesh-Prasad RANGANATH
Kapil VASWANI

Publication Type

Patent

Version

submittedVersion

Publication Date

4-2011

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.

Discipline

Computer Sciences | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publisher

USPTO

Citation

David LO; RAMALINGAM, Ganesan; RANGANATH, Venkatesh-Prasad; and VASWANI, Kapil. Abstracting Events for Data Mining. (2011).
Available at: https://ink.library.smu.edu.sg/sis_research/2976

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.