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We are excited to announce that Canv.ai now features a built-in translator, allowing you to communicate in your native language. You can write prompts in your language, and they will be automatically translated into English, facilitating communication and the exchange of ideas!

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Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Posted By: AvaxGenius
Date: 20 Jun 2022 01:47:42
Scientific Data Mining and Knowledge Discovery: Principles and Foundations

Scientific Data Mining and Knowledge Discovery: Principles and Foundations by Mohamed Medhat Gaber
English | PDF | 2009 | 398 Pages | ISBN : 3642027873 | 7.9 MB

With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical, computational, and machine learning techniques to discover scientific knowledge in the fields of biology, chemistry, physics, and astronomy. With the recent advances in ontologies and knowledge representation, automated scientific discovery (ASD) has further, great prospects in the future.
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Learning from Data Streams in Dynamic Environments

Posted By: AvaxGenius
Date: 16 Feb 2022 20:48:33
Learning from Data Streams in Dynamic Environments

Learning from Data Streams in Dynamic Environments by Moamar Sayed-Mouchaweh
English | PDF | 2016 | 82 Pages | ISBN : 3319256653 | 3.3 MB

This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
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