Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

Abstract: Multi-pattern matching algorithms are broadly used in many fields of computer science. However, the performance of the existing algorithms seriously degrades with the increasing of the ...

This repository contains datasets and source code for the paper "Boosting exact pattern matching with eXtreme Gradient Boosting (and more)". The experiment consists of two parts. The first part ...

Prior work has contributed a large number of moment matching algorithms. While all of these algorithms excel with respect to some of the four measures mentioned earlier (number of moments matched; ...

A new breakthrough in bipartite matching algorithms, inspired by neuron and muscle fiber connections, improves efficiency in systems like ridesharing, enhancing user experience and preserving privacy.

Data is a valuable asset that must be protected. Data is digital information transmitted through electrical signal It is divided into two types, writing, and sound. It may be manipulated or duplicated ...

In Chapter 2, we develop moment matching algorithms, which allow us to map a general probability distribution into a combination of exponential distributions, known as a phase type (PH) distribution.

Jason Feifer, editor in chief of Entrepreneur magazine, was recently a guest on my podcast. During the interview, he said something that I had been taught years ago but needed to be reminded of. He ...