Analytic Pattern Matching: From DNA to Twitter
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Analytic Pattern Matching: From DNA to Twitter

by Philippe Jacquet, Wojciech Szpankowski

Mathematics Computer Science
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This book introduces analytic pattern matching techniques, extending from DNA analysis to Twitter data processing. It explores mathematical principles for identifying patterns in diverse datasets, offering insights into algorithmic applications in biology and social media. Ideal for those interested in computational theory and data science.

About This Book

Analytic Pattern Matching: From DNA to Twitter delves into the mathematical foundations of pattern matching techniques. Authored by Philippe Jacquet and Wojciech Szpankowski, it examines how these methods apply across biological and digital domains.

The book provides a structured approach to understanding patterns in complex data sets, bridging theoretical concepts with practical applications. It highlights the versatility of analytic tools in processing information from genetic material to online interactions.

Readers will gain an appreciation for the interdisciplinary nature of pattern matching, essential for advancements in science and technology. The content emphasizes rigorous analysis without delving into specific implementations.

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I will be using this book for: