In data mining, Frequent Itemsets Mining is a technique used in several domains with
notable results. However, the large volume of data in modern datasets increases the …

Data mining is a new field of computer science with a wide range of applications. Its goal is
to extract knowledge from massive datasets in a human-understandable structure, for …

Field-programmable gate arrays (FPGAs) were invented by Xilinx in 1985, ie, about 35 years
ago. Currently, they are part of heterogeneous computer platforms that combine different …

A two-dimensional Ising model with nearest-neighbors ferromagnetic interactions is
implemented in a Field Programmable Gate Array (FPGA) board. Extensive Monte Carlo …

Mining interesting knowledge from the huge amount of data gathered from WSNs is a
challenge. Works reported in literature use support metric-based sensor association rules …

Abstract Frequent Itemsets Mining is a Data Mining technique that has been employed to
extract useful knowledge from datasets and, more recently, also from data streams. Data …

In this article we describe a Field Programmable Gate Array (FPGA)-based coprocessor
architecture for Frequent Itemset Mining (FIM). FIM is a common data mining task used to …

Two methods are presented for finding the top‐k items in data streams using Field
Programmable Gate Arrays (FPGAs). These methods deploy two variants of a novel …

In this paper we propose a novel algorithm for mining contrast patterns using a distributed,
map-reduce like framework. Contrast patterns describe differences between contrasted data …

This paper explores distributed computing systems that may be used efficiently in
information processing that is frequently needed in electronic, environmental, medical, and …