Area of research
Information Systems · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Data mining, Set (abstract data type), Pruning, Data stream mining, and Data stream.
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints
Efficiently mining high utility sequential patterns in static and streaming data
Efficient Algorithms for Mining Top-K High Utility Itemsets
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences
Mining High Utility Sequential Patterns from Evolving Data Streams
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets
Mining high utility episodes in complex event sequences
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
Mining top-K high utility itemsets
Efficient algorithms for mining maximal high utility itemsets from data streams with different models
Mining interesting user behavior patterns in mobile commerce environments