- Published Year: 2008
- Page count: 437
- File Size: 11 MB
- Language: English
- Published by: Springer-Verlag Berlin Heidelberg
- Visited by: 11
- Rating/Review: 4.6
-
ISBN:
3540707174
9783540707172
تندتک
در این کانال تلگرام، مسعود بیگی، تجربیات خود را از دنیای تکنولوژی، استارتاپ، کارآفرینی و مدیریت فنی با شما به اشتراک می گذارد
Learn MoreAdvances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects: 8th Industrial Conference, ICDM 2008 Leipzig, Germany, July 16-18, 2008 Proceedings
4.6
Reviews from our users
You Can Ask your questions from this book's AI after Login
Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.Introduction
Welcome to an insightful journey through the diverse and impactful realms of data mining as explored in the proceedings from the 8th Industrial Conference on Data Mining (ICDM 2008) held in Leipzig, Germany.
In today's data-driven world, the ability to extract meaningful insights from vast amounts of data is critical across various industries. The book, "Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects," serves as a comprehensive guide to understanding these processes and their applications in different sectors such as medical, e-commerce, and marketing among others. This collection of proceedings from ICDM 2008 brings together cutting-edge research and practical applications, making it an indispensable resource for practitioners, researchers, and educators alike.
Detailed Summary of the Book
The book encapsulates a wide array of topics within data mining, showcasing both theoretical advancements and practical implementations. It begins by addressing the fundamental approaches and methodologies in data mining, establishing a foundation for exploring more specialized domains.
The proceedings feature significant contributions in medical applications where data mining technologies are revolutionizing patient care and treatment strategies. Studies within this section highlight the use of algorithms in diagnosing complex conditions, personalizing patient treatment plans, and improving healthcare system efficiencies.
In the sphere of e-commerce, the book explores how data mining techniques optimize customer experiences and operational strategies. It delves into consumer behavior analysis, recommendation systems, and fraud detection—essential tools that enable businesses to thrive in competitive digital marketplaces.
The marketing section of the book offers insights into how data mining influences consumer targeting and campaign effectiveness. By dissecting consumer data, companies can refine their strategies to enhance customer engagement and achieve better ROI on marketing investments.
The book also covers theoretical aspects that provide the necessary lens for understanding the complex nature of data mining. It digs into advanced algorithms, clustering methods, and data preprocessing techniques that underpin the successful application of data mining across various fields.
Key Takeaways
- Comprehensive coverage of data mining applications in medical, e-commerce, and marketing industries.
- Insight into the latest advancements in data mining algorithms and methodologies.
- Real-world case studies that illustrate the successful application of data mining technologies.
- Theoretical insights that enhance understanding of complex data mining processes.
- Exploration of future trends and potential directions for research and development in data mining.
Famous Quotes from the Book
"Data mining is more than simply uncovering insights; it's about transforming numbers into narratives that drive action."
"In the data lies a treasure trove of knowledge waiting to be deciphered. The true art of data mining is in its decipherment."
Why This Book Matters
This book matters because it stands at the critical intersection of theory and practice. It provides readers with a robust understanding of data mining's potential and limitations, which is crucial in an era where data is an invaluable asset. By presenting research that impacts real-world applications, it challenges the reader to think creatively about how data mining can be leveraged in various contexts to drive innovation and efficiency.
Furthermore, the book serves as a testament to the interdisciplinary nature of data mining, bridging gaps between computer science, healthcare, business, and beyond. Its comprehensive coverage ensures that readers from diverse backgrounds can find relevance and application in their respective fields.
Ultimately, "Advances in Data Mining" inspires both seasoned professionals and newcomers alike to delve deeper into the possibilities of data exploration and analysis. It positions itself as a must-read for anyone serious about harnessing the power of data in today's dynamic landscape.
Free Direct Download
Get Free Access to Download this and other Thousands of Books (Join Now)
