The efficient management of interval data represents a core requirement for many temporal and spatial database applications. With the Relational Interval Tree (RI-tree1 ), an effi...
— Estimation of network proximity among nodes is an important building block in several applications like service selection and composition, multicast tree formation, and overlay...
Query optimization is used frequently in relational database management systems. Most existing techniques are based on reordering the relational operators, where the most selective...
Due to the structural heterogeneity of XML, queries are often interpreted approximately. This is achieved by relaxing the query and ranking the results based on their relevance to ...
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...