Learning Rules from User Behaviour

Corapi Domenico; Oliver Ray; Alessandra Russo; Arosha Bandara; Emil Lupu

Learning Rules from User Behaviour

Corapi Domenico, Oliver Ray, Alessandra Russo, Arosha Bandara, Emil Lupu

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy- based approaches provide adaptability but, at present, require policy rules to be provided by users. This paper presents preliminary work on using Inductive Logic Programming (ILP) to automatically acquire such knowledge from observational data. We show how a non-monotonic ILP system called XHAIL can incrementally learn and revise rules of user behaviour and we brie y discuss how this approach might be exploited within a wider pervasive computing framework.

Translated title of the contribution	Learning Rules from User Behaviour
Original language	English
Title of host publication	2nd International Workshop on the Induction of Process Models
Publication status	Published - 2008

Bibliographical note

Other page information: -
Conference Proceedings/Title of Journal: 2nd International Workshop on the Induction of Process Models
Other identifier: 2000965

Access to Document

http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2000965

Handle.net

Persistent link

Cite this

@inproceedings{565afc37431e4ab68952bf58495dd8ff,

title = "Learning Rules from User Behaviour",

abstract = "Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy- based approaches provide adaptability but, at present, require policy rules to be provided by users. This paper presents preliminary work on using Inductive Logic Programming (ILP) to automatically acquire such knowledge from observational data. We show how a non-monotonic ILP system called XHAIL can incrementally learn and revise rules of user behaviour and we brie y discuss how this approach might be exploited within a wider pervasive computing framework. ",

author = "Corapi Domenico and Oliver Ray and Alessandra Russo and Arosha Bandara and Emil Lupu",

note = "Other page information: - Conference Proceedings/Title of Journal: 2nd International Workshop on the Induction of Process Models Other identifier: 2000965",

year = "2008",

language = "English",

booktitle = "2nd International Workshop on the Induction of Process Models",

}

TY - GEN

T1 - Learning Rules from User Behaviour

AU - Domenico, Corapi

AU - Ray, Oliver

AU - Russo, Alessandra

AU - Bandara, Arosha

AU - Lupu, Emil

N1 - Other page information: - Conference Proceedings/Title of Journal: 2nd International Workshop on the Induction of Process Models Other identifier: 2000965

PY - 2008

Y1 - 2008

N2 - Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy- based approaches provide adaptability but, at present, require policy rules to be provided by users. This paper presents preliminary work on using Inductive Logic Programming (ILP) to automatically acquire such knowledge from observational data. We show how a non-monotonic ILP system called XHAIL can incrementally learn and revise rules of user behaviour and we brie y discuss how this approach might be exploited within a wider pervasive computing framework.

AB - Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy- based approaches provide adaptability but, at present, require policy rules to be provided by users. This paper presents preliminary work on using Inductive Logic Programming (ILP) to automatically acquire such knowledge from observational data. We show how a non-monotonic ILP system called XHAIL can incrementally learn and revise rules of user behaviour and we brie y discuss how this approach might be exploited within a wider pervasive computing framework.

M3 - Conference Contribution (Conference Proceeding)

BT - 2nd International Workshop on the Induction of Process Models

ER -

Learning Rules from User Behaviour

Abstract

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this