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19329712
Foundations of Multidimensional and Metric Data Structures The Morgan Kaufmann Series in Data Management Systems 1st Edition
Item #:
19329712
HNL 2168
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The thorough and authoritative treatment on multidimensional data structures.
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What Stands Out
Comprehensive Coverage
This book provides an in-depth exploration of multidimensional data structures, catering to computer science students and professionals seeking detailed knowledge in data management systems.
Practical Applicability
It offers practical insights and examples, enabling readers to apply theoretical concepts in real-world scenarios, making it valuable for both academics and industry practitioners.
Expert Authorship
Written by renowned experts in the field, this text ensures reliable and high-quality content, enhancing credibility and trust for readers aiming to deepen their understanding of metric data structures.
Product Details
- Comprehensive treatment of multidimensional and metric data structures
- Covers spatial and multidimensional data structures and algorithms
- Includes implementation details and worked exercises
- Suitable for professionals in computer graphics, databases, GIS, and more
- An algorithmic approach with practical examples
- Written by a renowned authority in the field
| Item Weight | 3 lbs (1.36 kg) |
Who Should Buy?
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Data Scientists
Ideal for data scientists who need to understand complex data structures for analysis and modeling.
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Graduate Students
Beneficial for graduate students focusing on databases and data management in computer science.
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Software Engineers
Useful for software engineers implementing applications that require efficient multidimensional data storage and retrieval.
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Casual Readers
Not suitable for casual readers looking for light material or general knowledge without technical depth.
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Beginner Programmers
May overwhelm beginner programmers lacking prior knowledge in data structures and algorithms.
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Non-technical Users
Not recommended for non-technical users who do not have a background in computer science or mathematics.
Product Description
Foundations of Multidimensional and Metric Data Structures The Morgan Kaufmann Series in Data Management Systems 1st Edition
About This Item
Introducing the Foundations of Multidimensional and Metric Data Structures, a groundbreaking book that has been awarded an Honorable Mention in the 2006 best book in Computer and Information Science competition. Written by the esteemed Hanan Samet, this book is a must-have for anyone working with spatial data, scientific datasets, graphics, vision problems involving volumetric queries, or higher dimensional datasets common in data mining. With its encyclopedic coverage of material from computational geometry, databases, graphics, GIS, and similarity retrieval literature, this book is a comprehensive survey of multidimensional and metric data structures. It is the most complete and thorough presentation on this topic, making it an invaluable resource for instructors, researchers, and developers. What sets this book apart is its algorithmic approach, allowing readers to easily implement and apply the concepts discussed.
With a liberal use of examples, readers can gain a clear understanding of how to utilize multidimensional data structures for real-time graphics, game development, and more. The book covers a wide range of topics, including multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. It provides implementation details for the most useful data structures, ensuring that readers have the tools they need to effectively work with multidimensional data. Whether you are a computer graphics professional, a database expert, a game programmer, an image processing specialist, or involved in pattern recognition, solid modeling, similarity retrieval, or VLSI design, this book will be an essential reference tool for you. Don't miss out on the opportunity to expand your knowledge and skills in multidimensional and metric data structures. Order your copy of Foundations of Multidimensional and Metric Data Structures today and stay ahead in the ever-evolving world of computer science.
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Customer Questions & Answers
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Question:
What topics are covered in 'Foundations of Multidimensional and Metric Data Structures'?
Answer: The book explores key concepts in multidimensional data structures, focusing on metric space structures. Readers will delve into techniques for efficiently managing data across multiple dimensions, essential for applications in data analytics, machine learning, and geographic information systems. It also addresses various algorithms and data models critical for processing and querying multidimensional data, making it a great resource for students and professionals alike. -
Question:
Who is the target audience for this book?
Answer: The primary audience includes graduate students, researchers, and professionals in computer science and data management. It's especially relevant for those specializing in database systems, spatial data analysis, and data science. The structured content allows readers to either build foundational knowledge or deepen their understanding of complex multidimensional structures, catering to both novices and experienced practitioners. -
Question:
How does this book compare to other titles in data management?
Answer: This book stands out due to its comprehensive approach to multidimensional and metric data structures, offering unparalleled insights into their theoretical foundations and practical applications. Unlike other texts, it combines rigorous mathematical treatment with real-world examples, providing a thorough understanding of both concepts and implementations. Readers can expect to gain both foundational and advanced knowledge crucial in today’s data-centric environments. -
Question:
Can this book help with data science projects involving spatial data?
Answer: Yes, 'Foundations of Multidimensional and Metric Data Structures' is particularly beneficial for data science projects that involve spatial data. It presents models and techniques necessary for handling multidimensional data, which is vital for tasks like spatial analysis, clustering, and classification. By understanding the underlying structures, readers can enhance their project outcomes, particularly in fields like urban planning or geographic information systems. -
Question:
What makes multidimensional data structures essential in today's technology?
Answer: With the exponential growth of data, multidimensional data structures offer efficient storage and retrieval methods that are crucial for modern applications. They allow for better organization and querying of complex datasets, enhancing performance in analytics, machine learning, and visualization. As businesses increasingly rely on data-driven decisions, understanding these structures is vital for optimizing data management strategies. -
Question:
Are there exercises or practical examples included in the book?
Answer: Yes, the book includes a variety of exercises and practical examples designed to reinforce learning. These exercises help readers apply theoretical concepts to real-world situations, ensuring they can effectively implement multidimensional data structures in their projects. This practical approach enhances comprehension and prepares readers for challenges they might face in data management tasks. -
Question:
Is prior knowledge of data structures required to understand this book?
Answer: While some familiarity with basic data structures is beneficial, the book is structured to guide readers from fundamental concepts to more complex theories. It progressively introduces topics, making it accessible even to those with limited prior knowledge. This structured learning path allows anyone passionate about data management to engage with the material and build their expertise. -
Question:
Who are the authors and what are their qualifications?
Answer: The authors, recognized experts in the field, bring a wealth of experience in data management and computer science. Their academic and professional backgrounds include extensive research and teaching at leading institutions, contributing to their authority on multidimensional and metric data structures. Readers benefit from their insight into both the theoretical foundations and practical applications in contemporary data systems. -
Question:
What outcomes can I expect from studying this book?
Answer: By studying 'Foundations of Multidimensional and Metric Data Structures', readers can expect to develop a strong grasp of how to manage and analyze complex datasets. Competence in this area will aid in tackling real-world problems in data-heavy fields. Graduates will be better equipped for careers in data science, analytics, and database management, making the insights gained highly applicable. -
Question:
Where can I buy 'Foundations of Multidimensional and Metric Data Structures The Morgan Kaufmann Series in Data Management Systems 1st Edition'?
Answer: You can purchase 'Foundations of Multidimensional and Metric Data Structures' at Ubuy in Honduras. Ubuy offers a reliable platform for acquiring various books, including this essential resource for data management professionals and students. Their user-friendly website ensures a smooth buying experience.
Editorial Review
The first edition of "Foundations of Multidimensional and Metric Data Structures" has received generally positive reviews from customers. One reader described it as the "bible for spatial representation," noting the impeccable quality and the author's comprehensive knowledge. Others appreciate the book's encyclopedic style, making it a must-have for anyone working with multi-dimensional data. It's been praised as a well-written and complete text, providing in-depth understanding and useful references for spatial data structures. The author's expertise and presentation style are commended, with one reviewer acknowledging that the book is a top researcher's work addressing subject matter at every level. However, it's noted that the book may be challenging to read for those seeking an introduction to the subject, as it incorporates advanced concepts without defining all symbols and letters. Despite this observation, the book is recommended as a valuable reference for those already familiar with the field. **
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Pros
- Comprehensive and in-depth coverage of multi-dimensional data structures
- Well-written with useful references
- Encyclopedic style makes it a valuable reference for those familiar with the subject matter
Cons
- May be difficult to read for those seeking an introduction to the subject
Product Price History
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HNL 2168
This product is not Fulfilled by Ubuy and can take minimum 10 days in delivery. We might cancel the product from the order and refund you if any issue arise with the delivery of this product.
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- Thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets
- Comprehensive survey to spatial and multidimensional data structures and algorithms
- Excellent and valuable reference tool for professionals
- First comprehensive work on multidimensional data structures
- Algorithmic approach with a liberal use of examples that allows implementation and use
- Each section includes labs to confirm understanding and suggest future directions