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SGAI
2009
Springer
14 years 3 months ago
Parallel Rule Induction with Information Theoretic Pre-Pruning
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
Frederic T. Stahl, Max Bramer, Mo Adda
ICDCS
2012
IEEE
11 years 11 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
MIDDLEWARE
2004
Springer
14 years 2 months ago
Data pipelines: enabling large scale multi-protocol data transfers
Collaborating users need to move terabytes of data among their sites, often involving multiple protocols. This process is very fragile and involves considerable human involvement ...
Tevfik Kosar, George Kola, Miron Livny
PERCOM
2005
ACM
14 years 8 months ago
Security Parallels between People and Pervasive Devices
Unique and challenging security problems arise due to the scarcity of computational, storage, and power resources in the low-cost pervasive computing environment. Particularly rel...
Stephen A. Weis
PVLDB
2011
13 years 2 days ago
CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop
Hadoop has become an attractive platform for large-scale data analytics. In this paper, we identify a major performance bottleneck of Hadoop: its lack of ability to colocate relat...
Mohamed Y. Eltabakh, Yuanyuan Tian, Fatma Özc...