Big data computing

"To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the...

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Sprache:English
Veröffentlicht: Boca Raton [u.a.] CRC Press 2014
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245 1 0 |a Big data computing  |c ed. by Rajendra Akerkar 
264 1 |a Boca Raton [u.a.]  |b CRC Press  |c 2014 
300 |a XXII, 542 S.  |b Ill. 
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500 |a Includes bibliographical references and index 
520 |a "To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions"-- 
650 4 |a Database management 
650 4 |a Data mining 
650 4 |a Big data 
650 7 |a BUSINESS & ECONOMICS / Information Management  |2 bisacsh 
650 7 |a COMPUTERS / Database Management / General  |2 bisacsh 
650 7 |a COMPUTERS / Database Management / Data Mining  |2 bisacsh 
650 4 |a Wirtschaft 
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Datensatz im Suchindex

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adam_text Contents Preface ......................................................................................................................ix Editor....................................................................................................................xvii Contributors .........................................................................................................xix Section I Introduction 1. Toward Evolving Knowledge Ecosystems for Big Data Understanding .........................................................................3 Vadim Ermolayev, Rajendra Akerkar, Vagan Terziyan, and Michael Cochez 2. Tassonomy and Review of Big Data Solutions Navigation .................57 Pierfrancesco Bellini, Mariano di Claudio, Paolo Nest, and Nadia Rauch 3. Big Data: Challenges and Opportunities ..............................................103 Roberto V. Zicari Section II Semantic Technologies and Big Data 4. Management of Big Semantic Data ........................................................131 Javier D. Fernández, Mario Arias, Miguel A. Martínez-Prieto, and Claudio Gutiérrez 5. Linked Data in Enterprise Integration ...................................................169 Sören Auer, Axel-Cyrille Ngonga Ngomo, Philipp Frischmuth, and Jakub Kliniek 6. Scalable End-User Access to Big Data ....................................................205 Martin Giese, Diego Calvanese, Peter Haase, ¡an Horrocks, Yannis loannidis, Herald Kllapi, Manolis Koubarakis, Maurizio Lenzerini, Ralf Möller, Mariano Rodriguez Muro, Özgür Özcep, Riccardo Rosati, Rudolf Schiatte, Michael Schmidt, Ahmet Soylu, and Arild Waaier 7. Semantic Data Interoperability: The Key Problem of Big Data .......245 Hele-Mai Haav and Peep Kungas vu viii Contents Section III Big Data Processing 8. Big Data Exploration ..................................................................................273 Stratos Idreos 9. Big Data Processing with MapReduce ...................................................295 Jord à Poio 10. Efficient Processing of Stream Data over Persistent Data ..................315 M. AsifNaeem, Gillian Dobbie, and Gerald Weber Section IV Big Data and Business 11. Economics of Big Data: A Value Perspective on State of the Art and Future Trends ......................................................................................343 Tassilo Pellegrin 12. Advanced Data Analytics for Business ..................................................373 Rajendra Akerkar Section V Big Data Applications 13. Big Social Data Analysis ...........................................................................401 Erik Cambria, Dheeraj Rajagopal, Daniel Olsher, and Dipankar Das 14. Real-Time Big Data Processing for Domain Experts: An Application to Smart Buildings ...............................................................415 Dario Bonino, Fulvio Corno, and Luigi De Russis 15. Big Data Application: Analyzing Real-Time Electric Meter Data....449 Mikhail Šimonov, Giuseppe Caragnano, Lorenzo Mossucca, Pietro Ruiu, and Olivier Terzo 16. Scaling of Geographic Space from the Perspective of City and Field Blocks and Using Volunteered Geographic Information ........483 Bin Jiang and Xintao Liu 17. Big Textual Data Analytics and Knowledge Management ................501 Marcus Spies and Monika Jungemann-D orner Index .....................................................................................................................539
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record_format marc
spellingShingle Big data computing
Database management
Data mining
Big data
BUSINESS & ECONOMICS / Information Management bisacsh
COMPUTERS / Database Management / General bisacsh
COMPUTERS / Database Management / Data Mining bisacsh
Wirtschaft
Datenmanagement (DE-588)4213132-7 gnd
Big Data (DE-588)4802620-7 gnd
subject_GND (DE-588)4213132-7
(DE-588)4802620-7
(DE-588)4143413-4
title Big data computing
title_auth Big data computing
title_exact_search Big data computing
title_full Big data computing ed. by Rajendra Akerkar
title_fullStr Big data computing ed. by Rajendra Akerkar
title_full_unstemmed Big data computing ed. by Rajendra Akerkar
title_short Big data computing
title_sort big data computing
topic Database management
Data mining
Big data
BUSINESS & ECONOMICS / Information Management bisacsh
COMPUTERS / Database Management / General bisacsh
COMPUTERS / Database Management / Data Mining bisacsh
Wirtschaft
Datenmanagement (DE-588)4213132-7 gnd
Big Data (DE-588)4802620-7 gnd
topic_facet Database management
Data mining
Big data
BUSINESS & ECONOMICS / Information Management
COMPUTERS / Database Management / General
COMPUTERS / Database Management / Data Mining
Wirtschaft
Datenmanagement
Big Data
Aufsatzsammlung
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026913140&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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