A Python-based module for detecting historical matches in time-series of stock market data. Price-series match-seeking algorithm is designed to identify similar data patterns within historical ...

Abstract: The paper had put the idea about the principle of optimizing dynamic programming to the log pattern matching algorithm, made the best dynamic matching algorithm, that is, by matching local ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

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, ...

A Tkinter based text editor application with the implementation of Boyer Moore Pattern matching algorithm as the find and replace feature.

Abstract: The pattern matching algorithm has important influence on the performance of intrusion detection system. Firstly, this paper analyzes matching principles of some traditional single-mode ...

ABSTRACT: 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 ...

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 ...