Manipulation of qualitative degrees to handle uncertainty:
formal models and applications
SLOM: a new measure for local spatial outliers
Mining the meaningful term conjunctions from materialised faceted taxonomies: algorithms and complexity
Higher order feature selection for text classification
Using cocitation information to estimate political orientation in web documents
Call classification using recurrent neural networks, support vector machines and finite state automata
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
On condensed representations of constrained frequent patterns
A geometrical solution to time series searching invariant to shifting and scaling
Merging uncertain information with semantic heterogeneity in XML
TEG—a hybrid approach to information extraction
On efficiently summarizing categorical databases
Privacy preservation for data cubes
Query indexing with containment-encoded intervals for efficient stream processing
Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets
Multiple labels associative classification
Constraining and summarizing association rules in medical data
Multi-step density-based clustering
Finding centric local outliers in categorical/numerical spaces
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection
Quality assessment of individual classifications in machine learning and data mining