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CC
2003
Springer
15 years 9 months ago
Improving Data Locality by Chunking
Cache memories were invented to decouple fast processors from slow memories. However, this decoupling is only partial, and many researchers have attempted to improve cache use by p...
Cédric Bastoul, Paul Feautrier
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 4 months ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 11 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 9 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
KDD
1997
ACM
104views Data Mining» more  KDD 1997»
15 years 8 months ago
Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
Jesús Cerquides, Ramon López de M&aa...