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:
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.
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:
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
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.
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
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:
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.
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.
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:
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 77 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.
Download or read book Database and Data Communication Network Systems Three Volume Set written by Cornelius T. Leondes and published by Academic Press. This book was released on 2002-07-02 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: Database and Data Communication Network Systems examines the utilization of the Internet and Local Area/Wide Area Networks in all areas of human endeavor. This three-volume set covers, among other topics, database systems, data compression, database architecture, data acquisition, asynchronous transfer mode (ATM) and the practical application of these technologies. The international collection of contributors was culled from exhaustive research of over 100,000 related archival and technical journals. This reference will be indispensable to engineering and computer science libraries, research libraries, and telecommunications, networking, and computer companies. It covers a diverse array of topics, including: * Techniques in emerging database system architectures * Techniques and applications in data mining * Object-oriented database systems * Data acquisition on the WWW during heavy client/server traffic periods * Information exploration on the WWW * Education and training in multimedia database systems * Data structure techniques in rapid prototyping and manufacturing * Wireless ATM in data networks for mobile systems * Applications in corporate finance * Scientific data visualization * Data compression and information retrieval * Techniques in medical systems, intensive care units
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:
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:
Download or read book OpenVMS Alpha Internals and Data Structures written by Ruth Goldenberg and published by Elsevier. This book was released on 2002-12-10 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenVMS Alpha Internals and Data Structures: Memory Management is an update to selected parts of the book OpenVMS AXP Internals and Data Structures Version 1.5 (Digital Press, 1994). This book covers the extensions to the memory management subsystem of OpenVMS Alpha to allow the operating system and applications to access 64 bits of address space. It emphasizes system data structures and their manipulation by paging and swapping routines and related system services. It also describes management of dynamic memory, such as nonpaged pool, and support for nonuniform memory access (NUMA) platforms. This book is intended for systems programmers, technical consultants, application designers, and other computer progressions interested in learning the details of the OpenVMS executive. Teachers and students of graduate and advanced undergraduate courses in operating systems will find this book a valuable study in how theory and practice are resolved in a complex commercial operating system. THE definitive reference describing how the OpenVMS kernel works Written by a top authority on OpenVMS systems Covers the latest version of OpenVMS
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1989 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt:
