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 ...

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 how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...

Abstract: Pattern matching algorithms are widely used in fields such as traffic classification and management, user behavior analysis, and more. The increasingly large and complex network traffic ...

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, ...

As the complexity of IC designs continues to grow, moving critical checks earlier in the design cycle helps designers identify and resolve issues before they escalate, streamlining the overall ...

The video game industry has evolved leaps and bounds over the last half century, from simple arcade-like gameplay to highly immersive, intelligent, and interactive gaming. With advancements in ...

In 1862, Charles Darwin predicted the existence of a moth with a long tongue based on a comet orchid's nectar spurs. This was confirmed in 1903 with the discovery of a long-tongued hawkmoth, ...

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 ...