Original Contribution: Stacked generalization
Neural Networks
The weighted majority algorithm
Information and Computation
Average reward reinforcement learning: foundations, algorithms, and empirical results
Machine Learning - Special issue on reinforcement learning
Machine Learning
Finding patterns in time series: a dynamic programming approach
Advances in knowledge discovery and data mining
A scalable comparison-shopping agent for the World-Wide Web
AGENTS '97 Proceedings of the first international conference on Autonomous agents
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Electric Elves: Applying Agent Technology to Support Human Organizations
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Getting from here to there: interactive planning and agent execution for optimizing travel
Eighteenth national conference on Artificial intelligence
A bibliography of temporal, spatial and spatio-temporal data mining research
ACM SIGKDD Explorations Newsletter
Accurately and reliably extracting data from the Web: a machine learning approach
Intelligent exploration of the web
Issues in stacked generalization
Journal of Artificial Intelligence Research
Learning to trade via direct reinforcement
IEEE Transactions on Neural Networks
Web Mining: Research and Practice
Computing in Science and Engineering
Interactively building agents for consumer-side data mining
Proceedings of the 10th international conference on Intelligent user interfaces
Privacy preserving learning in negotiation
Proceedings of the 2005 ACM symposium on Applied computing
Price prediction and insurance for online auctions
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Pricing for customers with probabilistic valuations as a continuous knapsack problem
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Computational aspects of mining maximal frequent patterns
Theoretical Computer Science
Mining airline data for CRM strategies
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
An expressive language and efficient execution system for software agents
Journal of Artificial Intelligence Research
Adaptive pricing for customers with probabilistic valuations
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Knowledge management in sensor enabled online services
FIS'10 Proceedings of the Third future internet conference on Future internet
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining mobility data to minimise travellers' spending on public transport
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 20th ACM international conference on Information and knowledge management
Freedom of choice and creativity in multicriteria decision making
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
Combining spatial and temporal aspects of prediction problems to improve prediction performance
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
An agent for optimizing airline ticket purchasing
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Competitive Shopbots-Mediated Markets
ACM Transactions on Economics and Computation
Optimal airline ticket purchasing using automated user-guided feature selection
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Using domain knowledge to systematically guide feature selection
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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As product prices become increasingly available on the World Wide Web, consumers attempt to understand how corporations vary these prices over time. However, corporations change prices based on proprietary algorithms and hidden variables (e.g., the number of unsold seats on a flight). Is it possible to develop data mining techniques that will enable consumers to predict price changes under these conditions?This paper reports on a pilot study in the domain of airline ticket prices where we recorded over 12,000 price observations over a 41 day period. When trained on this data, Hamlet --- our multi-strategy data mining algorithm --- generated a predictive model that saved 341 simulated passengers $198,074 by advising them when to buy and when to postpone ticket purchases. Remarkably, a clairvoyant algorithm with complete knowledge of future prices could save at most $320,572 in our simulation, thus HAMLET's savings were 61.8% of optimal. The algorithm's savings of $198,074 represents an average savings of 23.8% for the 341 passengers for whom savings are possible. Overall, HAMLET saved 4.4% of the ticket price averaged over the entire set of 4,488 simulated passengers. Our pilot study suggests that mining of price data available over the web has the potential to save consumers substantial sums of money per annum.