Big Data Analytics : Methods and Applications / / edited by Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (276 pages) |
Disciplina | 519.5 |
Soggetto topico |
Statistics
Data mining Applied mathematics Engineering mathematics Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Sciences, Humanities, Law Statistics for Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Applications of Mathematics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction: The Promises and Challenges of Big Data Analytics -- Chapter 2. Massive Data Analysis: Tasks, Tools, Applications and Challenges -- Chapter 3. Statistical Challenges with Big Data in Management Science -- Chapter 4. Application of Mixture Models to Large Datasets -- Chapter 5. An Efficient Partition-Repetition Approach in Clustering of Big Data -- Chapter 6. Multithreaded Graph Algorithms for Large-scale Analytics -- Chapter 7. On-line Graph Partitioning with an Affine Message Combining Cost Function -- Chapter 8. Big Data Analytics Platforms for Real-time Applications in IoT -- Chapter 9. Complex Event Processing in Big Data Systems -- Chapter 10. Unwanted Traffic Identification in Large-scale University Networks: A Case Study -- Chapter 11. Application-Level Benchmarking of Big Data Systems -- Chapter 12. Managing Large Scale Standardized Electronic Healthcare Records -- Chapter 13. Microbiome Data Mining for Microbial Interactions and Relationships -- Chapter 14. A Nonlinear Technique for Analysis of Big Data in Neuroscience -- Chapter 15. Big Data and Cancer Research. |
Record Nr. | UNINA-9910136605803321 |
New Delhi : , : Springer India : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Big Data Benchmarking [[electronic resource] ] : 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers / / edited by Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, Saumyadipta Pyne |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (IX, 129 p. 60 illus.) |
Disciplina | 005.7 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Database management
Data mining Information storage and retrieval Application software Algorithms Computer simulation Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Simulation and Modeling |
ISBN | 3-319-49748-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Big Data, Simulations and HPC Convergence -- Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database -- Towards a General Array Database Benchmark: Measuring Storage Access -- ALOJA: a Benchmarking and Predictive Platform for Big Data Performance Analysis -- A Set of Metrics to Evaluate HDFS and S3 Performance on Amazon EMR with Avro and Parquet Formats -- Benchmarking the Availability and Fault Tolerance of Cassandra -- Performance Evaluation of Spark SQL using BigBench -- Accelerating Big Bench on Hadoop. |
Record Nr. | UNISA-996465520003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Big Data Benchmarking : 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers / / edited by Tilmann Rabl, Raghunath Nambiar, Chaitanya Baru, Milind Bhandarkar, Meikel Poess, Saumyadipta Pyne |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (IX, 129 p. 60 illus.) |
Disciplina | 005.7 |
Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
Soggetto topico |
Database management
Data mining Information storage and retrieval Application software Algorithms Computer simulation Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Simulation and Modeling |
ISBN | 3-319-49748-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Big Data, Simulations and HPC Convergence -- Benchmarking Fast-Data Platforms for the Aadhaar Biometric Database -- Towards a General Array Database Benchmark: Measuring Storage Access -- ALOJA: a Benchmarking and Predictive Platform for Big Data Performance Analysis -- A Set of Metrics to Evaluate HDFS and S3 Performance on Amazon EMR with Avro and Parquet Formats -- Benchmarking the Availability and Fault Tolerance of Cassandra -- Performance Evaluation of Spark SQL using BigBench -- Accelerating Big Bench on Hadoop. |
Record Nr. | UNINA-9910483993003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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