Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Log data constitute a relevant aspect in the evaluation process of the quality of a search engine and the quality of a multilingual search service; log data can be used to study t...
Thomas Mandl, Maristella Agosti, Giorgio Maria Di ...
The problem of global state observation is fundamental to distributed systems and to the analysis of data streams. Many interactions in distributed systems can be analyzed in term...
The need of using spatial vector data for web-based and mobile applications has been increasing rapidly. Vector spatial data is difficult to generalise (that is, to derive a suita...
Provenance, from the French word “provenir”, describes the lineage or history of a data entity. Provenance is critical information in scientific applications to verify experime...
Satya Sanket Sahoo, D. Brent Weatherly, Raghava Mu...