Mining the best logical rule from the data is a challenging task because not all attribute of the
dataset will contribute towards the optimal logical representation. Even if the correct …

Creating optimal logic mining is strongly dependent on how the learning data are structured.
Without optimal data structure, intelligence systems integrated into logic mining, such as an …

Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …

In the perspective of logic mining, the attribute selection, and the objective function of the
best logic is the two main factors that identifies the effectiveness of our proposed logic …

Amazon. com Inc. seeks alternative ways to improve manual transactions system of granting
employees resources access in the field of data science. The work constructs a modified …

Since its debut in 2009, League of Legends (LoL) has been on a rise in becoming an
extremely favoured multiplayer online battle arena (MOBA) game. This paper presented a …

The fully connected topology, which coordinates the connection of each neuron with all
other neurons, remains the most commonly used structure in Hopfield-type neural networks …

Analyzing commodity prices contributes greatly to traders, economists and analysts in
ascertaining the most feasible investment strategies. Limited knowledge about the price …

RBFNN with different algorithms and the logic mining method for forecasting constitute the
most significant tools and techniques, which are used to demonstrate the economic growth …

Although the accurate prediction of the Standardized Precipitation Evapotranspiration Index
(SPEI) is considered meaningful in reducing drought losses, its wide applications are limited …