Mining Crown
Active Learning of Constraints for Semi-Supervised Clustering
Active Learning of Constraints for Semi-Supervised Clustering. Semi-supervised clustering aims to im..
Hierarchical Feature Selection for Random Projection
Random projection is a popular machine learning algorithm, which can be implemented by neural networ..
Social-aware Sequential Modelling of User Interests: A Deep Learning Approach
In this paper, we propose to leverage the emerging deep learning techniques for sequential modeling ..
Hybrid decision tree and naive Bayes classifiers for multi-class classification tasks
Independent hybrid mining algorithms to increase the classification accuracy rates of decision tree ..
A combined mining-based framework for predicting telecommunications customer payment behaviors
Most existing data mining algorithms apply data-driven data mining technologies. The major disadvant..
A Computational Dynamic Trust Model for User Authorizationic
Nowadays security and privacy issues take a major role in multi-agent system. Mostly multi-agent sys..
A Context-Based Word Indexing Model For Document Summarization
Abstract Summarization is the process of compressing the original document into a short summary ..
A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders
The term “stress” is often used alternatively to the term “anxiety” in order to emphasize the role o..
A decision-theoretic rough set approach for dynamic data mining
Uncertainty and fuzziness generally exist in real-life data. Approximations are employed to describe..