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Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Optimización de protocolos de comunicación SDR ejecutados en FPGA
(Instituto Tecnológico de Costa Rica, 2015)
This project shows a methodology for the optimization digital communication systems implemented on
software radios SDR reducing the CPU and memory usage. The project was developed using the kit
Zedboard which is based ...
Multi-relational algorithm for mining association rules in large databases
(2011-12-01)
Multi-relational data mining enables pattern mining from multiple tables. The existing multi-relational mining association rules algorithms are not able to process large volumes of data, because the amount of memory required ...
Memory Allocation Simulator
(ITESO, 2018)
2D SLAM Algorithms Characterization, Calibration, and Comparison Considering Pose Error, Map Accuracy, CPU Usage, and Memory Usage
(2022)
The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM algorithm, providing strong statistical evidence, based on descriptive and inferential statistics to bring confidence levels about ...
Long memory properties and agents’ behavior: an interesting connection
(Centro de Estudos em Finanças (GVcef), 2015)
The aim of this work is to establish an interesting connection between the behavior of economic agents and the long memory features that generally occur in a wide set of time series found in economic/financial problems. ...
Accelerating Graph Applications Using Phased Transactional Memory
(2021-01-01)
Due to their fine-grained operations and low conflict rates, graph processing algorithms expose a large amount of parallelism that has been extensively exploited by various parallelization frameworks. Transactional Memory ...