Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce PDF

Author: Jimmy Lin

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 171

ISBN-13: 3031021363

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Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) PDF

Author: Rajiv Misra

Publisher: Springer Nature

Published: 2021-09-29

Total Pages: 362

ISBN-13: 3030824691

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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

The Nucleus

The Nucleus PDF

Author: F.D. Smit

Publisher: Springer Science & Business Media

Published: 1999

Total Pages: 540

ISBN-13: 9780306463020

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Proceedings of the International Conference on The Nucleus: New Physics for the New Millennium, held January 18-22, 1999, at the National Accelerator Centre, Faure, South Africa

Proceedings of International Conference on Cognition and Recognition

Proceedings of International Conference on Cognition and Recognition PDF

Author: D. S. Guru

Publisher: Springer

Published: 2017-10-04

Total Pages: 408

ISBN-13: 9811051461

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The book covers a comprehensive overview of the theory, methods, applications and tools of cognition and recognition. The book is a collection of best selected papers presented in the International Conference on Cognition and Recognition 2016 (ICCR 2016) and helpful for scientists and researchers in the field of image processing, pattern recognition and computer vision for advance studies. Nowadays, researchers are working in interdisciplinary areas and the proceedings of ICCR 2016 plays a major role to accumulate those significant works at one place. The chapters included in the proceedings inculcates both theoretical as well as practical aspects of different areas like nature inspired algorithms, fuzzy systems, data mining, signal processing, image processing, text processing, wireless sensor networks, network security and cellular automata.

Proceedings of the 33rd International MATADOR Conference

Proceedings of the 33rd International MATADOR Conference PDF

Author: David R. Hayhurst

Publisher: Springer

Published: 2011-12-07

Total Pages: 0

ISBN-13: 9781447112006

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by Conference Chairman n1 It is my pleasure to introduce this volume of Proceedings for the 33 MATADOR Conference. The Proceedings include 83 refereed papers submitted from 19 countries on 4 continents. 00 The spread of papers in this volume reflects four developments since the 32 MATADOR Conference in 1997: (i) the power of information technology to integrate the management and control of manufacturing systems; (ii) international manufacturing enterprises; (iii) the use of computers to integrate different aspects of manufacturing technology; and, (iv) new manufacturing technologies. New developments in the manufacturing systems area are globalisation and the use of the Web to achieve virtual enterprises. In manufacturing technology the potential of the following processes is being realised: rapid proto typing, laser processing, high-speed machining, and high-speed machine tool design. And, at the same time in the area of controls and automation, the flexibility and integration ability of open architecture computer controllers are creating a wide range of opportunities for novel solutions. Up-to-date research results in these and other areas are presented in this volume. The Proceedings reflect the truly international nature of this Conference and the way in which original research results are both collected and disseminated. The volume does not, however, record the rich debate and extensive scientific discussion which took place during the Conference. I trust that you will find this volume to be a permanent record of some of the research carried out in the last two years; and.

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