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143
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KDD
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 7 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
163
Voted
BROADNETS
2004
IEEE
15 years 7 months ago
Capacity-Efficient Protection with Fast Recovery in Optically Transparent Mesh Networks
Survivability becomes increasingly critical in managing high-speed networks as data traffic continues to grow in both size and importance. In addition, the impact of failures is e...
Sun-il Kim, Steven S. Lumetta
142
Voted
FINTAL
2006
15 years 7 months ago
Coordination Structures in a Typed Feature Structure Grammar: Formalization and Implementation
Abstract. Every language employs its own coordination strategies, according to the type of coordinating marking, the pattern of marking, the position of the marker, and the phrase ...
Jong-Bok Kim, Jaehyung Yang
109
Voted
FSTTCS
2006
Springer
15 years 7 months ago
Fast Exponential Algorithms for Maximum r-Regular Induced Subgraph Problems
Given a graph G=(V, E) on n vertices, the MAXIMUM r-REGULAR INDUCED SUBGRAPH (M-r-RIS) problems ask for a maximum sized subset of vertices R V such that the induced subgraph on R,...
Sushmita Gupta, Venkatesh Raman, Saket Saurabh
132
Voted
SC
1995
ACM
15 years 7 months ago
Parallel Matrix-Vector Product Using Approximate Hierarchical Methods
Matrix-vector products (mat-vecs) form the core of iterative methods used for solving dense linear systems. Often, these systems arise in the solution of integral equations used i...
Ananth Grama, Vipin Kumar, Ahmed H. Sameh
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