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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 7 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
MCS
2009
Springer
14 years 1 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
JEC
2006
113views more  JEC 2006»
13 years 9 months ago
CyNC: A method for real time analysis of systems with cyclic data flows
The paper addresses a novel method for realtime analysis of systems with cyclic data flows. The presented method is based on Network Calculus principles, where upper and lower flo...
Henrik Schiøler, Jens Dalsgaard Nielsen, Ki...
DKE
1999
118views more  DKE 1999»
13 years 8 months ago
Designing Data Warehouses
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
Dimitri Theodoratos, Timos K. Sellis
SECON
2007
IEEE
14 years 3 months ago
Distinguishing Data Transience from False Injection in Sensor Networks
— Wireless sensor networks are increasingly being employed for potentially hazardous and critical applications such as monitoring the gas concentration levels in a battle field....
Vinod Shukla, Daji Qiao