Search Results for "data mining algorithms in c#.net" - Page 2
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29 projects for "data mining algorithms in c#.net" with 2 filters applied:
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Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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Lightspeed golf course management softwareFrom tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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basE91 is an advanced method for encoding binary data as ASCII characters. It is similar to UUencode or base64, but is more efficient. The overhead produced by basE91 depends on the input data. It amounts at most to 23% and can range down to 14%.
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aptimelib is a new, extremely portable, generic, 64-bit, time/date library. It implements the proposal by David R. Tribble ( http://david.tribble.com/text/c0xlongtime.html ), featuring epoch basis, microsecond granularity, and platform translation.
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OpenGMP is an open service platform for implementing advanced decision support solutions for the mining enterprise.
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Screen (or SCalable REndering ENgine) is a rendering engine based on both 3D rendering and highlty parallel algorithms. It provides powerful scripting interfaces and integrated development environment for 3D games and scientific simulations.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
