DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Information Preserving Time Decompositions of Time Stamped Documents*
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
On the use of Human-Computer Interaction for Projected Nearest Neighbor Search
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams
Accelerated EM-based clustering of large data sets
Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels
Characteristic-Based Clustering for Time Series Data
Scalable Clustering Algorithms with Balancing Constraints
VizRank: Data Visualization Guided by Machine Learning
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
A systematic approach to the assessment of fuzzy association rules
Mining top-K frequent itemsets from data streams
Hyperclique pattern discovery
Support measures for graph data*