Data Management and Algorithms

Data Management and Algorithms is a research topic within Signal Processing. Science Explorer counts 55k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the mining, analysis, and querying of GPS trajectories and moving object data. It covers topics such as trajectory clustering, skyline computation, similarity search, top-k query processing, probabilistic databases, location prediction, and semantic trajectory modeling.

• Trajectory Data Mining
• GPS Trajectories
• Skyline Operator
• Similarity Search
• Spatial Databases
• Top-k Query Processing
• Probabilistic Databases
• Location Prediction
• Clustering Algorithms
• Semantic Trajectories