Although spatio-temporal databases have received considerable attention recently, there has been little work on processing range sum queries on the historical records of moving ob...
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
DBPubs is a system for effectively analyzing and exploring the content of database publications by combining keyword search with OLAP-style aggregations, navigation, and reporting...
Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik N...
In this paper we propose a distributed meta-index using a peer-to-peer protocol to allow spatio-temporal queries of moving objects on a large set of distributed database servers. W...
In this paper, a new pattern-growth algorithm is presented to mine frequent sequential patterns using First-Occurrence Forests (FOF). This algorithm uses a simple list of pointers...