Principles Applications Big Data (24 results)

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2025-05 Pages: 265 Publisher: Posts & Telecom Press This book systematically introduces the relevant knowledge of big data. divided into four parts: Big Data Fundamentals. Big Data Storage and Management. Big Data Processing and Analysis. and Big Data Applications. The book contains 13 chapters. covering topics such as an overview of big data. the big data processing architecture Hadoop. the distributed file system HDFS. the distributed database HBase. No.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2024-02 Pages:268 Publisher:People's Posts and Telecommunications Press This book comprehensively and systematically introduces the relevant technical principles and application methods of big data. Starting from theoretical knowledge. this book gradually and in-depth explains big data technology on the basis of introducing the relevant theoretical knowledge of big data. perfectly combining theory with practice. The book is divided into 5 parts. with a tota.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2024-08 Pages:308 Publisher:People's Posts and Telecommunications Press This book systematically introduces the relevant knowledge of big data. which is divided into big data basics. big data storage and management. big data processing and analysis. and big data applications. This book has 14 chapters. including an overview of big data. big data processing architecture Hadoop. distributed file system HDFS. distributed database HBase. NoSQL database. cloud d.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-03 Publisher: Shanghai Sanlian Bookstore This book focuses on the evaluation of medical insurance policies and combines big data technology to develop a new policy measurement method based on policy text mining. which is used to identify and measure local differentiated medical insurance policies. This book combines empirical evaluation research and demonstrates the principle basis and application value of the new policy measurement method from the a.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-08 Pages: 268 Publisher: Posts and Telecommunications Press This book has 5 chapters. including an overview of big data technology and practical training. big data offline processing development practice. big data real-time processing development practice. big data interactive OLAP multidimensional analysis development practice. and big data visualization application development practice. It systematically introduces the basic theoretical knowledge a.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-10 Pages:332 Publisher:Machinery Industry Press This book takes into account both breadth and depth. application and principle. research and development and operation and maintenance. and provides an in-depth introduction to various types of big data computing systems. including the basic concepts of big data computing systems. configuration and programming methods of various big data computing systems. operating principles of big data computing system.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2025-04 Pages: 132 Publisher: Peking University Press With the rapid development of information technology. the era of big data has arrived. Faced with massive amounts of multi-source. heterogeneous data. how enterprises can improve user services by mining big data is a highly concerning issue. Recommender systems are an effective means to solve the problem of information overload in the big data environment and provide personalized services to users. Thi.

Condition: New.

Hardcover. Condition: Brand New. 384 pages. 9.25x6.10x1.97 inches. In Stock.

Condition: New.

Taschenbuch. Condition: Neu. Hypothesis Generation and Interpretation | Design Principles and Patterns for Big Data Applications | Hiroshi Ishikawa | Taschenbuch | Studies in Big Data | xii | Englisch | 2025 | Springer | EAN 9783031435423 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on "social infrastructure" applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns.Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on 'social infrastructure' applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.The novel methods and technologies proposed inHypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on 'social infrastructure' applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.The novel methods and technologies proposed inHypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.

Hardcover. Condition: Brand New. 384 pages. 9.25x6.10x1.97 inches. In Stock.

Condition: New.

Condition: As New. Unread book in perfect condition.

paperback. Condition: New. Language:Chinese.Geographic Information Systems Theory and Applications Series: Big data Smarter Computing principles method.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-04-01 Pages: 290 Publisher: Tsinghua University Press This book introduces the big data processing architecture around the Hadoop ecosystem related system. The book has a total of 11 chapters. of which. Chapters 1 and 2 mainly lead you to know Hadoop and learn to build Hadoop clusters; Chapters 3 to 5 explain distributed file system (HDFS).

paperback. Condition: New. Paperback. Pub Date: 2020-12-01 Pages: 296 Language: Chinese Publisher: China Water Conservancy and Hydropower Publishing House With the in-depth development of information technology and the wide application of information systems. the demand for database theory and technology by all kinds of personnel is increasing .?Database Principles and Applications is not only a compulsory course for computer science and technology majors. but also a compulsory course for majors in information. economi.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-04-01 Pages: 355 Publisher: Tsinghua University Press book State Grid Co. Ltd. and SG186 SG-ERP system and other major information technology projects based design. project construction and application of the whole process of organization. summed up experience in a number of major information technology projects. the use of the theory of information technology and big data application technology. and strive to reflect .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-07-01 Publisher: Zhejiang University Press calculation of Social Sciences (CSS) is a fusion of traditional social science. computer science. environmental science and engineering sciences emerging interdisciplinary. by Herbert inspired a Simon (Herben A.Simon) and other disciplines pioneers of the 20th century. tried to study computing science and computing technology community .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-09-01 Publisher: China Water Conservancy and Hydropower Press Oracle Database 21c Principles and Actual Combat 252 Cases Data Engineer Series Books Database Engineer Growth Manual Database Introduction. Advanced. Management. Actual Oracle Backup and Recovery Oracle Users Oracle Performance Diagnosis and Optimization The underlying support of big data technology The book Big Data Principles and Practical Combat covers a complete big data ecosystem sys.

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