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- 621pages
- 22 heures de lecture
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"If you torture the data long enough, Nature will confess," stated Nobel-winning economist Ronald Coase. This remains true, yet achieving this goal is challenging. The phrase "long enough" can often translate to "too long" in many applications, making it impractical. To extract insights from large data sets, one must employ advanced "torturing" tools, and Nature is often reluctant to reveal its secrets. Despite these challenges, readers will discover several effective data mining tools within this insightful book. It addresses a wide range of issues related to data mining methodologies, techniques, and algorithms. The content begins with data understanding and preprocessing, progresses through supervised and unsupervised learning methods, and concludes with model assessment and considerations of data security and privacy. This comprehensive approach to the knowledge discovery process distinguishes the book, making it an essential resource among data mining literature. In today’s world, virtually every aspect of human activity is influenced by the necessity and desire to collect data, leading to significant implications for how we understand and utilize this information.
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Data Mining, Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski, Lukasz Andrzej Kurgan
- Langue
- Année de publication
- 2010
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- (souple),
- État du livre
- Très bon
- Prix
- 10,49 €
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- Titre
- Data Mining
- Sous-titre
- A Knowledge Discovery Approach
- Langue
- Anglais
- Éditeur
- Springer New York
- Publié
- 2010
- Format
- souple
- Pages
- 621
- ISBN10
- 1441941207
- ISBN13
- 9781441941206
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Science et Mathématiques, Informatique & Internet, États-Unis, Mathématiques, Intelligence Artificielle, Base de données, Algorithmes, Systèmes experts
- Description
- "If you torture the data long enough, Nature will confess," stated Nobel-winning economist Ronald Coase. This remains true, yet achieving this goal is challenging. The phrase "long enough" can often translate to "too long" in many applications, making it impractical. To extract insights from large data sets, one must employ advanced "torturing" tools, and Nature is often reluctant to reveal its secrets. Despite these challenges, readers will discover several effective data mining tools within this insightful book. It addresses a wide range of issues related to data mining methodologies, techniques, and algorithms. The content begins with data understanding and preprocessing, progresses through supervised and unsupervised learning methods, and concludes with model assessment and considerations of data security and privacy. This comprehensive approach to the knowledge discovery process distinguishes the book, making it an essential resource among data mining literature. In today’s world, virtually every aspect of human activity is influenced by the necessity and desire to collect data, leading to significant implications for how we understand and utilize this information.