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Archives bring to mind rooms filled with old papers and dusty artifacts. But for scientists, the detritus of the past can be a treasure trove of material vital to present and future research: fossils collected by geologists; data banks assembled by geneticists; case histories published in medical journals; weather diaries and data silos trawled by climate scientists; libraries visited by historians. These are the vital collections, assembled and maintained over millennia, which define the sciences of the archives. With 'Science in the Archives', Lorraine Daston offers the first study of the important role that these archives play in the natural and human sciences. Ranging across disciplines and centuries, contributors cover episodes in the history of astronomy, geology, genetics, philology, climatology, medicine, and more - as well as fundamental practices such as collecting, retrieval, and data mining. Chapters cover topics ranging from doxology in Greco-Roman antiquity to NSA surveillance techniques of the twenty-first century. Thoroughly exploring the practices, politics, economics, and potential of the sciences of the archives, this volume reveals the essential historical dimension of the sciences, while also adding a much-needed long term perspective to contemporary debates over the uses of Big Data in science.

Scientific archives --- Science --- Archives --- History --- Scientific archives. --- History. --- Big Data. --- collections. --- data retrieval. --- databases. --- libraries. --- scientific archives.

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If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java , Think Python , Think Stats , and Think Bayes .

Java (Computer program language) --- Data structures (Computer science) --- Information retrieval. --- Computer algorithms. --- Algorithms. --- Algorism --- Algebra --- Arithmetic --- Algorithms --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Object-oriented programming languages --- JavaSpaces technology --- Foundations

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This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a strong foundation for later studies of more complex topics. The coverage includes discussions on stacks, queues, lists, (using both arrays and links), sorting, and elementary binary trees, heaps, and hashing. This content is also a natural continuation from the material provided in the separate Springer title Guide to Java by the same authors. Topics and features: Reviews the preliminary concepts, and introduces stacks and queues using arrays, along with a discussion of array-based lists Examines linked lists, the implementation of stacks and queues using references, binary trees, a range of varied sorting techniques, heaps, and hashing Presents both primitive and generic data types in each chapter, and makes use of contour diagrams to illustrate object-oriented concepts Includes chapter summaries, and asks the reader questions to help them interact with the material Contains numerous examples and illustrations, and one or more complete program in every chapter Provides exercises at the end of each chapter, as well as solutions to selected exercises, and a glossary of important terms This clearly-written work is an ideal classroom text for a second semester course in programming using the Java programming language, in preparation for a subsequent advanced course in data structures and algorithms. The book is also eminently suitable as a self-study guide in either academe or industry. Dr. James T. Streib is a Professor of Computer Science at Illinois College, Jacksonville, IL, USA. Dr. Takako Soma is an Associate Professor of Computer Science at the same institution.

Computer science. --- Arithmetic and logic units, Computer. --- Data structures (Computer science). --- Computer Science. --- Data Structures. --- Arithmetic and Logic Structures. --- Data Storage Representation. --- Data structures (Computer scienc. --- Informatics --- Science --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Arithmetic and logic units, Computer --- Computer arithmetic --- Electronic digital computers --- Circuits --- Artificial intelligence --- Computer arithmetic and logic units. --- Information retrieval. --- Computer architecture. --- Data Science. --- Data processing. --- Architecture, Computer --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems

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This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring. Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.

Engineering. --- Artificial intelligence. --- Image processing. --- Computational intelligence. --- Computational Intelligence. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Image processing --- Information retrieval. --- Digital techniques. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Digital image processing --- Digital electronics --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book constitutes the refereed proceedings of the 5th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCII 2017, held in Vancouver, BC, Canada, in July 2017. The total of 1228 papers presented at the 15 colocated HCII 2017 conferences was carefully reviewed and selected from 4340 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. This volume contains papers addressing the following major topics: designing and evaluating distributed, ambient and pervasive interactions; natural interaction; smart cities; art and cultural heritage in smart environments; smart environments for quality of life; smart environments for learning and creativity; and ambient games and humour.

Computer science. --- Information storage and retrieval. --- User interfaces (Computer systems). --- Application software. --- Computers and civilization. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Computers and Society. --- Information Systems Applications (incl. Internet). --- Computer Applications. --- Information Storage and Retrieval. --- Civilization and computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Interfaces, User (Computer systems) --- Informatics --- Civilization --- Computer software --- Human-machine systems --- Human-computer interaction --- Science --- Information storage and retrieva. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- User interfaces (Computer systems)