Abstract: Sequential pattern mining is an important research direction in data mining, which is derived from frequent itemset mining. This paper first reviews the relevant knowledge of frequent ...

AI agent design patterns provide a structured approach to building intelligent systems that address diverse challenges in automation and workflow optimization. As highlighted by Google Cloud Tech, ...

This project enables users to upload sequential transaction datasets and automatically discover frequent patterns using the PrefixSpan algorithm. Results are presented through beautiful, interactive ...

Pattern made its debut on the Nasdaq after raising $300 million for the company and its investors in an IPO. The Utah-based company is one of the top sellers on Amazon's third-party marketplace. "No ...

Sept 18 (Reuters) - Pattern and its existing shareholders raised $300 million in its U.S. initial public offering on Thursday, after the e-commerce firm priced its shares within the marketed range.

Aug 22 (Reuters) - Pattern Group recorded a 35% jump in revenue in the first half of 2025, the e-commerce firm revealed on Friday in its U.S. initial public offering paperwork. With the IPO calendar ...

AI agents are at a pivotal moment: simply calling a language model is no longer enough for production-ready solutions. In 2025, intelligent automation depends on orchestrated, agentic ...

College of Sciences, Tianjin University of Science & Technology, Tianjin 300457, P. R. China ...

UCLA scientists mined millions of electronic health records and uncovered four distinct “roadways” that funnel people toward Alzheimer’s—ranging from mental-health struggles to vascular troubles.