If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

This repository is for people who just got started with data structures and algorithms and want to learn and better understand about basic data structures and algorithms implemented using python, ...

Abstract: The considerable growth of biological data motivates the researchers to solve the different problems in computational bioinformatics. Pattern matching is applied as an important operation in ...

I had two 8 hour days to create a visualization dashboard for three datasets. Tab one: Voronoi overlay on line graph. Tab two: Data partitioning method keeps in-memory usage low. Tab three: deals with ...

Pattern matching is a very important algorithm used in many applications such as search engine and DNA analysis. They are aiming to find a pattern in a text. This paper proposes a Pattern Matching ...

Abstract: Compressed pattern matching refers to the process of, given a text in a compressed form and a pattern, finding all the occurrences of the pattern in the text without decompression. To ...