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Parallel Algorithm for Reduction of Data Processing Time in Big Data
(Institute of Physics Publishing, 2020-01-07)
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. ...
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 ...
A model for analysing data portal performance: The biodiversity case
(2013-07-10)
Currently, many museums, botanic gardens and herbariums keep data of biological collections and using computational tools researchers digitalize and provide access to their data using data portals. The replication of ...
A model for analysing data portal performance: The biodiversity case
(2013-07-10)
Currently, many museums, botanic gardens and herbariums keep data of biological collections and using computational tools researchers digitalize and provide access to their data using data portals. The replication of ...
Data selection based on decision tree for SVM classification on large data sets
(Applied Soft Computing, 2016)
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 ...
StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices
(Institute of Electrical and Electronics Engineers – IEEEAtlantic City, 2015-11)
Given a large-scale graph with millions of nodes and edges, how to reveal macro patterns of interest, like cliques, bi-partite cores, stars, and chains? Furthermore, how to visualize such patterns altogether getting insights ...