Towards a general theory of action and time
Artificial Intelligence
Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Smart Office: Design of an Intelligent Environment
IEEE Intelligent Systems
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
Creating an Ambient-Intelligence Environment Using Embedded Agents
IEEE Intelligent Systems
Managing Adaptive Versatile Environments
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Can user models be learned at all? Inherent problems in machine learning for user modelling
The Knowledge Engineering Review
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
How smart are our environments? An updated look at the state of the art
Pervasive and Mobile Computing
Ambient Intelligence: A Multimedia Perspective
IEEE MultiMedia
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
Handbook of Ambient Intelligence and Smart Environments
Handbook of Ambient Intelligence and Smart Environments
Human Activity Recognition and Pattern Discovery
IEEE Pervasive Computing
Human-Centric Interfaces for Ambient Intelligence
Human-Centric Interfaces for Ambient Intelligence
Learning patterns in ambient intelligence environments: a survey
Artificial Intelligence Review
Temporal data mining for smart homes
Designing Smart Homes
Artificial neural networks in smart homes
Designing Smart Homes
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Control and learning of ambience by an intelligent building
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
Learning a taxonomy of predefined and discovered activity patterns
Journal of Ambient Intelligence and Smart Environments
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Intelligent Environments are expected to act proactively, anticipating the user's needs and preferences. To do that, the environment must somehow obtain knowledge of those need and preferences, but unlike current computing systems, in Intelligent Environments, the user ideally should be released from the burden of providing information or programming any device as much as possible. Therefore, automated learning of a user's most common behaviors becomes an important step towards allowing an environment to provide highly personalized services. In this article, we present a system that takes information collected by sensors as a starting point and then discovers frequent relationships between actions carried out by the user. The algorithm developed to discover such patterns is supported by a language to represent those patterns and a system of interaction that provides the user the option to fine tune their preferences in a natural way, just by speaking to the system.