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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 10 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
CLUSTER
2008
IEEE
14 years 2 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
EDM
2009
125views Data Mining» more  EDM 2009»
13 years 5 months ago
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collabo...
Antonio R. Anaya, Jesus Boticario
VLDB
1998
ACM
105views Database» more  VLDB 1998»
14 years 1 days ago
Computing Iceberg Queries Efficiently
Many applications compute aggregate functions over an attribute (or set of attributes) to find aggregate values above some specified threshold. We call such queries iceberg querie...
Min Fang, Narayanan Shivakumar, Hector Garcia-Moli...
DEXAW
2002
IEEE
159views Database» more  DEXAW 2002»
14 years 24 days ago
Data Warehouse Clustering on the Web
In collaborative e-commerce environments, interoperation is a prerequisite for data warehouses that are physically scattered along the value chain. Adopting system and information...
Aristides Triantafillakis, Panagiotis Kanellis, Dr...