Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Counting in general, and estimating the cardinality of (multi-) sets in particular, is highly desirable for a large variety of applications, representing a foundational block for ...
Nikos Ntarmos, Peter Triantafillou, Gerhard Weikum
Several application contexts require the ability to use together and compare different geographic datasets (maps) concerning the same or overlapping areas. This is for example the...
Alberto Belussi, Barbara Catania, Paola Podest&agr...
Snapshot isolation (SI) provides significantly improved concurrency over 2PL, allowing reads to be non-blocking. Unfortunately, it can also lead to non-serializable executions in ...
Sudhir Jorwekar, Alan Fekete, Krithi Ramamritham, ...
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...