This paper presents a new approach, based on the Case-Based Reasoning technique, which is useful to enhance Intelligent Tutoring Systems with learning abilities. Case-Based Reasoning is a recent paradigm for problem solving that has an inherent learning capability. So we integrate a Case-Based Instructional Planner within existing Intelligent Tutoring Systems (ITS) to enhance the pedagogical co...

Named entity recognition (NER) of chemicals and drugs is a critical domain information extraction in biochemical research. NER provides support for text mining reactions, including relation extraction, attribute metabolic response relationship extraction. However, the existence complex naming characteristics biomedical field, such as polysemy special characters, make task very challenging. Here...

Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and relevance feedback by supervised learning. However, the learning is plagued by the insufficiency of labeled training images. Different from most current research in image retrieval, this paper investigates the possibility ...

Given the explosive growth of data collected from current business environment, data mining can potentially discover new knowledge to improve managerial decision making. We propose a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks and apply the approach to marketing data. There are two different approaches to the network le...

The paper demonstrates and evaluates the effectiveness of a blended learning approach to create a meaningful learning environment. We use the term blended learning approach in this paper to refer to the use of multiple or hybrid instructional methods that emphasize the role of learners as contributors to the learning process rather than recipients of learning. Contribution to learning is attain...