Title
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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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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- Q: What are the dimensions of the book? A: The book measures six point one inches in length, one point sixty-one inches in width, and nine point twenty-one inches in height.
- Q: How many pages does the book have? A: The book contains six hundred fifty-six pages, providing extensive coverage of data mining techniques.
- Q: What type of binding does this book have? A: This book is bound in hardcover, ensuring durability and longevity for frequent use.
- Q: Who is the author of the book? A: The book is authored by Rob Sullivan, who specializes in data mining for life sciences.
- Q: What is the genre of this book? A: The book falls under the category of Computers and Technology, specifically focusing on data mining.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for both beginners and experienced researchers in data mining techniques.
- Q: Can I use this book for academic purposes? A: Yes, this book is ideal for academic use, offering in-depth insights into data mining methodologies.
- Q: Is this book appropriate for a professional audience? A: Yes, it is well-suited for professionals working in fields related to data analysis and artificial intelligence.
- Q: What are the key themes of the book? A: The key themes include data integration, pattern recognition, and analysis of hidden data patterns.
- Q: How should I care for this hardcover book? A: To maintain this hardcover book, store it in a dry, cool place and avoid exposure to direct sunlight.
- Q: Can I clean the book if it gets dirty? A: Yes, gently wipe the cover with a soft, dry cloth to remove any dust or smudges.
- Q: What is the shelf-life of this book? A: This book has no specific shelf-life, but proper care can preserve it for many years.
- Q: How do I store this book safely? A: Store the book upright on a shelf or in a bookcase to prevent bending or damage.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the seller or customer support for return or replacement options.
- Q: Is there a warranty on this book? A: Books typically do not come with a warranty, but check with the retailer for their return policy.
- Q: What if I have issues with the content of the book? A: If you have issues with the content, consider reaching out to the author or looking for supplementary resources.