The Most Advantageous Bangla Keyboard Layout Using Data Mining Technique
Abdul Kadar Muhammad Masum, Mohammad Mahadi Hassan, and S. M., Kamruzzaman

TL;DR
This paper introduces an optimized Bangla keyboard layout using data mining techniques to analyze character frequencies and associations, aiming to enhance typing speed and reduce effort by balancing load across both hands.
Contribution
It presents a novel Bangla keyboard layout designed through data mining of character associations, improving typing efficiency over existing layouts.
Findings
Better performance in typing speed and accuracy
Balanced load distribution on both hands
Effective use of association rules for layout design
Abstract
Bangla alphabet has a large number of letters, for this it is complicated to type faster using Bangla keyboard. The proposed keyboard will maximize the speed of operator as they can type with both hands parallel. Association rule of data mining to distribute the Bangla characters in the keyboard is used here. The frequencies of data consisting of monograph, digraph and trigraph are analyzed, which are derived from data wire-house, and then used association rule of data mining to distribute the Bangla characters in the layout. Experimental results on several data show the effectiveness of the proposed approach with better performance. This paper presents an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort.
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Taxonomy
TopicsVehicle License Plate Recognition · Algorithms and Data Compression · Data Mining Algorithms and Applications
