Introduction To Data Mining For The Life Sciences

Introduction To Data Mining For The Life Sciences

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Data Mining Provides A Set Of New Techniques To Integrate, Synthesize, And Analyze Tdata, Uncovering The Hidden Patterns That Exist Within. Traditionally, Techniques Such As Kernel Learning Methods, Pattern Recognition, And Data Mining, Have Been The Domain Of Researchers In Areas Such As Artificial Intelligence, But Leveraging These Tools, Techniques, And Concepts Against Your Data Asset To Identify Problems Early, Understand Interactions That Exist And Highlight Previously Unrealized Relationships Through The Combination Of These Different Disciplines Can Provide Significant Value For The Investigator And Her Organization.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of 'Introduction to Data Mining for the Life Sciences'? A: The book primarily focuses on data mining techniques applicable to the life sciences, helping researchers analyze data to uncover hidden patterns and relationships.
  • Q: Who is the author of this book? A: The author of 'Introduction to Data Mining for the Life Sciences' is Rob Sullivan.
  • Q: How many pages does the book contain? A: The book contains 656 pages.
  • Q: What is the publication date of this book? A: The book was published on December 26, 2011.
  • Q: What type of binding does this book have? A: This edition of the book is bound in hardcover.
  • Q: Is this book suitable for beginners in data mining? A: While the book covers advanced topics, it can be useful for beginners who have a foundational understanding of data mining principles.
  • Q: Does the book include practical examples? A: Yes, the book includes practical examples and case studies that demonstrate how to apply data mining techniques in life sciences.
  • Q: What edition of the book is available? A: The available edition of the book is the 2012 edition.
  • Q: Can this book help in understanding interactions within data? A: Yes, the book focuses on understanding interactions and relationships within data, providing valuable insights for researchers.
  • Q: Is this book in new condition? A: Yes, the item condition is listed as new.