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Author : Kai V. Luck
Publisher :
ISBN 13 : 9783662169391
Total Pages : 236 pages
Book Rating : 4.1/5 (693 download)
Download or read book Management and Processing of Complex Data Structures written by Kai V. Luck and published by . This book was released on 2014-09-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kai von Luck
Publisher : Springer Science & Business Media
ISBN 13 : 9783540578024
Total Pages : 236 pages
Book Rating : 4.5/5 (78 download)
Download or read book Management and Processing of Complex Data Structures written by Kai von Luck and published by Springer Science & Business Media. This book was released on 1994-02-16 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the third workshop on Information Systems and Artificial Intelligence, organized by the German Computer Science Society. The 11 invited contributions by well known researchers and developers working in the fields of databases and knowledge representation systems are centered around the topic of management and processing of complex data structures; they give a representative snapshot of the state-of-the-art in this fruitful interdisciplinary research area important for further progress in both, information systems and artificial intelligence. Most of the papers stress the demands for new or extended formalisms and their deductive capabilities, including an analysis of their formal properties for managing complex structures.
Author : Darmont, Jrme
Publisher : IGI Global
ISBN 13 : 1591406579
Total Pages : 433 pages
Book Rating : 4.5/5 (914 download)
Download or read book Processing and Managing Complex Data for Decision Support written by Darmont, Jrme and published by IGI Global. This book was released on 2006-03-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.
Download or read book Management and Processing of Complex Data Structures written by and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 780 pages
Book Rating : 4.3/5 (91 download)
Download or read book NBS Special Publication written by and published by . This book was released on 1976 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Minos Garofalakis
Publisher : Springer
ISBN 13 : 354028608X
Total Pages : 528 pages
Book Rating : 4.5/5 (42 download)
Download or read book Data Stream Management written by Minos Garofalakis and published by Springer. This book was released on 2016-07-11 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.
Author : Aditya Pratap Bhuyan
Publisher : Aditya Pratap Bhuyan
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4./5 ( download)
Download or read book Data Structures with Go written by Aditya Pratap Bhuyan and published by Aditya Pratap Bhuyan. This book was released on 2024-08-19 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Data Structures with Go: A Comprehensive Guide," your gateway to mastering data structures using the Go programming language. In today’s fast-paced software development world, a solid grasp of data structures is essential for creating efficient, scalable, and high-performance applications. This book provides a thorough exploration of data structures through Go, a language known for its simplicity, performance, and robust concurrency support. Why This Book? Data structures are fundamental to computer science and software engineering. They determine how data is organized, stored, and manipulated, significantly impacting the performance and efficiency of algorithms. With Go’s growing popularity for its clean syntax and effective concurrency model, it is an excellent choice for learning and implementing data structures. This book leverages Go’s features to offer practical insights into data structures, making it a valuable resource for developers of all skill levels. What You Will Learn Fundamentals of Data Structures: The book starts with an introduction to data structures, highlighting their importance and role in software development. You’ll explore basic data types in Go and their applications in various data structures. Arrays and Slices: Delve into arrays and slices, foundational structures in Go. Learn how to declare, initialize, and manipulate them, and understand their performance implications and practical uses. Linked Lists: Explore singly and doubly linked lists, including their structures, operations, and Go implementations. Understand how linked lists compare to arrays and slices and their advantages and limitations. Stacks and Queues: Study these essential linear data structures. Learn about stack (LIFO) and queue (FIFO) operations and their implementations in Go. The chapter also covers variants like deques and priority queues. Trees: Understand hierarchical data structures such as binary trees, binary search trees (BST), AVL trees, and Red-Black trees. Learn about tree operations, traversal techniques, and their Go implementations. Graphs: Learn about graph representations, including adjacency matrices and adjacency lists, and explore directed and undirected graphs. This chapter also covers common algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). Hashing: Discover hashing techniques, hash tables, and collision handling strategies. Implement hash tables in Go and understand their practical applications. Advanced Data Structures: Dive into specialized data structures such as heaps, tries, suffix trees, and Bloom filters. Learn about their implementations and use cases. Algorithms and Data Structures in Practice: Apply data structures to real-world problems. This chapter focuses on sorting and searching algorithms, optimization techniques, and performance profiling in Go. Real-World Applications: Explore how data structures are used in practical projects. Study case studies, best practices, and design patterns for implementing data structures in Go-based systems. Who Should Read This Book? This book caters to: Beginners: Those new to Go or data structures will find a clear, structured introduction. Intermediate Developers: Readers with some experience can deepen their knowledge and tackle advanced topics. Experienced Professionals: Those looking to explore Go or stay updated with modern practices will find valuable insights and practical examples. Learning Approach Emphasizing hands-on learning, the book includes practical examples, exercises, and real-world case studies to reinforce understanding and encourage experimentation. By working through these exercises, you will gain practical experience and a deeper grasp of data structures in Go. "Data Structures with Go: A Comprehensive Guide" is your key to mastering essential computer science principles and applying them effectively in modern applications. Dive in and discover how Go can enhance your skills in building robust, efficient, and scalable systems. Aditya
Author : Rokia Missaoui
Publisher : Springer Nature
ISBN 13 : 3030932788
Total Pages : 277 pages
Book Rating : 4.0/5 (39 download)
Download or read book Complex Data Analytics with Formal Concept Analysis written by Rokia Missaoui and published by Springer Nature. This book was released on 2022-06-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.
Author :
Publisher :
ISBN 13 :
Total Pages : 484 pages
Book Rating : 4.:/5 (319 download)
Download or read book NBS Monograph written by and published by . This book was released on 1970 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dzejla Medjedovic
Publisher : Simon and Schuster
ISBN 13 : 1638356564
Total Pages : 302 pages
Book Rating : 4.6/5 (383 download)
Download or read book Algorithms and Data Structures for Massive Datasets written by Dzejla Medjedovic and published by Simon and Schuster. This book was released on 2022-08-16 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting
Author :
Publisher :
ISBN 13 :
Total Pages : 172 pages
Book Rating : 4.:/5 (3 download)
Download or read book Management written by and published by . This book was released on 1987 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dinesh P. Mehta
Publisher : Taylor & Francis
ISBN 13 : 1498701884
Total Pages : 1120 pages
Book Rating : 4.4/5 (987 download)
Download or read book Handbook of Data Structures and Applications written by Dinesh P. Mehta and published by Taylor & Francis. This book was released on 2018-02-21 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
Author : Wolfram Wingerath
Publisher : Springer
ISBN 13 : 3030105555
Total Pages : 84 pages
Book Rating : 4.0/5 (31 download)
Download or read book Real-Time & Stream Data Management written by Wolfram Wingerath and published by Springer. This book was released on 2019-01-02 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively pushoriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book provides an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It also provides a comprehensive overview over the current state of the art in real-time databases. It sfirst includes an in-depth system survey of today's real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options.
Author : Jan L. Harrington
Publisher : Morgan Kaufmann
ISBN 13 : 9780123264299
Total Pages : 580 pages
Book Rating : 4.2/5 (642 download)
Download or read book Object-oriented C++ Data Structures for Real Programmers written by Jan L. Harrington and published by Morgan Kaufmann. This book was released on 2002 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures play a key role in any serious development project, determining how the program acquires, stores, updates, and processes its in-memory data. Many of the basic techniques for constructing and governing access to data structures are well-documented, but most are structured programming techniques that do not translate well in an object-oriented environment. Object-Oriented C++ Data Structures for Real Programmers corrects this imbalance, teaching experienced C++ and Java developers the most effective methods for designing and implementing highly functional data structures in any type of object-oriented programming effort. The first part of the book introduces the various approaches, focusing on the purposes for which each is most suited. From there, the author examines advanced functionality that can be achieved in a number of ways, helping readers choose and apply the optimal technique. Key Features * Advanced coverage from an accomplished developer and programming author * Written explicitly for experienced object-oriented programmers * Helps you choose the best way to build the desired functionality, then provides the instruction you need to do it * Covers all major data structure approaches, including arrays, vectors, lists, stacks, and queues * Explains how to achieve a wide range of functionality, including data sorting, searching, hashing, dictionaries, and indexes
Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 223 pages
Book Rating : 4.8/5 (628 download)
Download or read book Mastering Data Serialization and Formats written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this technologically interconnected world, data flows incessantly, traversing systems, applications, and platforms. The efficient exchange of this data is a core pillar in the architecture of modern software systems, and mastering data serialization and formats is essential for ensuring optimal communication and collaboration across the digital realm. "Mastering Data Serialization and Formats" delves deep into the intricacies of data serialization and various formats, serving as a comprehensive resource for both beginners and experienced professionals seeking to enhance their understanding of this critical subject. Whether you are a software developer, data engineer, or technology enthusiast, this book will empower you to harness the full potential of data serialization for your projects. Key Features: 1. Foundational Concepts: Lay the groundwork with a clear and concise explanation of what data serialization is, why it's important, and how it fits into the broader landscape of data management. 2. Exploration of Formats: Delve into the world of data formats, from well-known ones like JSON and XML to more specialized formats such as Protocol Buffers, Avro, and MessagePack. Understand the strengths, weaknesses, and best use cases for each format, enabling you to make informed decisions when selecting the most appropriate format for your specific needs. 3. Efficiency and Performance: Learn strategies to optimize data serialization for efficiency and performance. Discover techniques for reducing data size, enhancing data transmission speed, and minimizing resource consumption. 4. Cross-Language Communication: Grasp the intricacies of enabling seamless communication between applications written in different programming languages. Uncover the challenges and solutions for ensuring compatibility and interoperability across language barriers. 5. Real-World Use Cases: Gain insights into how various industries and domains leverage data serialization to solve complex challenges. From microservices architecture to IoT ecosystems, learn how serialization is pivotal in building robust and scalable systems. 6. Security and Compatibility: Explore best practices for securing serialized data and ensuring backward and forward compatibility. Understand the importance of versioning, schema evolution, and data validation to maintain the integrity of your data. 7. Hands-On Tutorials: Put theory into practice with hands-on tutorials that guide you through implementing data serialization in different programming languages. Develop practical skills that you can apply immediately to your projects. 8. Future Trends: Get a glimpse of the future of data serialization and formats. Stay up-to-date with emerging technologies and standards that are shaping the data landscape, such as GraphQL and Apache Arrow. In a world where data has become the lifeblood of innovation, mastering the art of data serialization and understanding various formats is a critical skill set for professionals across industries. Whether you're building web applications, designing APIs, working on microservices architecture, or creating IoT solutions, the ability to effectively exchange data is a differentiator that can elevate your projects from good to exceptional. "Mastering Data Serialization and Formats" is your roadmap to becoming fluent in the language of data exchange. Through comprehensive explanations, practical examples, and insightful case studies, this book equips you with the tools you need to conquer the challenges of data serialization and formats, unlocking new avenues for innovation and success. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author : United States. Patent and Trademark Office
Publisher :
ISBN 13 :
Total Pages : 1128 pages
Book Rating : 4.:/5 (89 download)
Download or read book Official Gazette of the United States Patent and Trademark Office written by United States. Patent and Trademark Office and published by . This book was released on 1998 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bharat Bhushan Agarwal
Publisher : Laxmi Publications
ISBN 13 : 8190855913
Total Pages : 273 pages
Book Rating : 4.1/5 (98 download)
Download or read book Software Engineering written by Bharat Bhushan Agarwal and published by Laxmi Publications. This book was released on 2009 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:
