Sciweavers

FLAIRS
2004
13 years 6 months ago
Improved Situation Interpretation Metrics in Context-Based Reasoning Simulations
The current implementation of situation interpretation metrics (SIMs) in context-based reasoning (CxBR) simulations makes it difficult to effectively and efficiently characterize ...
Roberto Sánchez, Avelino J. Gonzalez
FLAIRS
2004
13 years 6 months ago
Personalization Using Hybrid Data Mining Approaches in E-Business Applications
Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
Olena Parkhomenko, Yugyung Lee, Chintan Patel
FLAIRS
2004
13 years 6 months ago
Discovering Causal Chains by Integrating Plan Recognition and Sequential Pattern Mining
In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge....
Shreeram Sahasrabudhe, Héctor Muñoz-...
FLAIRS
2004
13 years 6 months ago
Mining On-line Sources for Definition Knowledge
Finding definitions in huge text collections is a challenging problem, not only because of the many ways in which definitions can be conveyed in natural language texts but also be...
Horacio Saggion, Robert J. Gaizauskas
FLAIRS
2004
13 years 6 months ago
Constraint Processing with Reactive Agents
The integration of methods of Constraint Programming and Multi-Agent-Systems is discussed in this paper. We describe different agent topologies for Constraint Satisfaction Problem...
Georg Ringwelski, Richard J. Wallace
FLAIRS
2004
13 years 6 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
FLAIRS
2004
13 years 6 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
FLAIRS
2004
13 years 6 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
FLAIRS
2004
13 years 6 months ago
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
Derry O'Sullivan, Barry Smyth, David C. Wilson