Organizations today collect and store large amounts of data in various formats and locations. However they are sometimes required to locate all instances of a certain type of data....
Clustering and data aggregation in wireless sensor networks improves scalability, and helps the efficient use of scarce resources. Yet, these mechanisms also introduce some securi...
The problem of distributed average consensus with quantized data is considered in this correspondence. Conventional consensus algorithms suffer from divergence when quantization er...
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
We present three distributed algorithms to build global inverted files for very large text collections. The distributed environment we use is a high bandwidth network of workstati...
Berthier A. Ribeiro-Neto, Edleno Silva de Moura, M...