Unveiled Knowledge Unveiling Latent Insights In Data
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Unveiled Knowledge: Unveiling Latent Insights in Data
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-13
In the era of exponential data growth, "Unveiled Knowledge: Unveiling Latent Insights in Data" emerges as an invaluable guide to unlocking the hidden treasures of data and transforming it into actionable insights. This comprehensive book empowers readers with the knowledge and skills to navigate the intricate world of data mining and knowledge discovery. Delving into the fundamental concepts of data mining, the book unveils the art of extracting meaningful patterns and relationships from vast amounts of data. It explores a wide range of techniques, from classification and clustering to association rule mining and decision trees, empowering readers to uncover hidden insights and make informed decisions. To ensure successful data mining endeavors, the book emphasizes the importance of data preprocessing, the crucial step of preparing data for analysis. It delves into data cleansing, transformation, sampling, feature selection, and dimensionality reduction, providing readers with a solid foundation for accurate and efficient data analysis. Furthermore, the book introduces the concept of rough sets, a powerful tool for exploring data and making sense of imprecise and uncertain information. Readers will discover the intricacies of approximation spaces, reduct attributes, rough membership functions, and rough entropy, gaining the ability to handle real-world data challenges. The realm of fuzzy sets is also explored, providing readers with a framework for reasoning with partial truths and uncertainties. Fuzzy membership functions, fuzzy logic, and fuzzy control systems are brought to life, enabling readers to embrace the nuances of data and make informed decisions in ambiguous situations. Venturing into the realm of knowledge discovery in databases, the book unveils the process of extracting hidden patterns and relationships from large volumes of data. It covers association rule mining, decision trees, and clustering techniques, empowering readers to uncover valuable insights and make data-driven decisions. If you like this book, write a review on google books!
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