Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
In recent years, the sketch-based technique has been presented as an effective method for counting stream items on processors with limited storage and processing capabilities, such...
Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal,...
Our digital universe is growing, creating exploding amounts of data which need to be searched, protected and filtered. String searching is at the core of the tools we use to curb...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Abstract--Dictionary-based string matching (DBSM) is a critical component of Deep Packet Inspection (DPI), where thousands of malicious patterns are matched against high-bandwidth ...
Yi-Hua E. Yang, Viktor K. Prasanna, Chenqian Jiang