A hybrid aggregation and compression technique for road network databases
Multirelational classification: a multiple view approach
Modified algorithms for synthesizing high-frequency rules from different data sources
Finding cohesive clusters for analyzing knowledge communities
Non-negative matrix factorization for semi-supervised data clustering
Ranking with decision tree
A framework for simulating real-time multi-agent systems
Knowledge-empowered automated negotiation system for e-Commerce
RRSi: indexing XML data for proximity twig queries
Determining error bounds for spectral filtering based reconstruction methods in privacy preserving data mining
Disk aware discord discovery: finding unusual time series in terabyte sized datasets
Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series
Clustering based on matrix approximation: a unifying view
Self-supervised relation extraction from the Web
A new concise representation of frequent itemsets using generators and a positive border
Maximum entropy based significance of itemsets
DSM-FI: an efficient algorithm for mining frequent itemsets in data streams
Protecting business intelligence and customer privacy while outsourcing data mining tasks
Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series