Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
The role of prediction algorithms in the MavHome smart home architecture
IEEE Wireless Communications
Designing and Modeling Smart Environments (Invited Paper)
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
IEEE Pervasive Computing
Artificial intelligence on the body, in the home, and beyond
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
A learning architecture for automating the intelligent environment
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Managing Adaptive Versatile environments
Pervasive and Mobile Computing
Inhabitant guidance of smart environments
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Learning patterns in ambient intelligence environments: a survey
Artificial Intelligence Review
Multiagent system for home automation
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
Activity knowledge transfer in smart environments
Pervasive and Mobile Computing
Inhabitant prediction in smart houses
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Designing smart environments: a paradigm based on learning and prediction
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Discovering frequent user--environment interactions in intelligent environments
Personal and Ubiquitous Computing
Probabilistic latent clustering of device usage
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Temporal data mining for smart homes
Designing Smart Homes
A multi-agent approach to controlling a smart environment
Designing Smart Homes
Engineering Applications of Artificial Intelligence
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Learning a taxonomy of predefined and discovered activity patterns
Journal of Ambient Intelligence and Smart Environments
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The data stream captured by recording inhabitant-deviceinteractions in an environment can be mined todiscover significant patterns, which an intelligent agentcould use to automate device interactions. However, thisknowledge discovery problem is complicated by severalchallenges, such as excessive noise in the data, data thatdoes not naturally exist as transactions, a need tooperate in real time, and a domain where frequency maynot be the best discriminator. In this paper, we propose anovel data mining technique that addresses thesechallenges and discovers regularly-occurringinteractions with a smart home. We also discuss a casestudy that shows the data mining technique can improvethe accuracy of two prediction algorithms, thusdemonstrating multiple uses for a home automationsystem. Finally, we present an analysis of the algorithmand results obtained using inhabitant interactions.