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Big data and smart service systems / / Xiwei Liu, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Qingdao Academy of Intelligent Industries, Qingdao, China, Rangachari Anand, IBM Watson Group, Gang Xiong, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Dongguan Research Institute of Casia, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China, Xiuqin Shang, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Qingdao Academy of Intelligent Industries, Qingdao, China, Xiaoming Liu, North China University of Technology, Beijing, China, Jianping Cao, Information System and Management College, National University of Defense Technology, Changsha, China
| Big data and smart service systems / / Xiwei Liu, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Qingdao Academy of Intelligent Industries, Qingdao, China, Rangachari Anand, IBM Watson Group, Gang Xiong, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Dongguan Research Institute of Casia, Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China, Xiuqin Shang, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, Qingdao Academy of Intelligent Industries, Qingdao, China, Xiaoming Liu, North China University of Technology, Beijing, China, Jianping Cao, Information System and Management College, National University of Defense Technology, Changsha, China |
| Autore | Liu Xiwei |
| Pubbl/distr/stampa | London : , : Academic Press, , [2017] |
| Descrizione fisica | 1 online resource (xxix, 201 pages) : illustrations (chiefly color) |
| Disciplina | 005.7 |
| Collana | Gale eBooks |
| Soggetto topico |
Big data
Technological innovations - Social aspects Internet - Social aspects Information society |
| ISBN | 0-12-812040-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | chapter 1. Vision-based vehicle queue length detection method and embedded platform / Y. Yao, K. Wang and G. Xiong -- chapter 2. Improved information feedback in symmetric dual-channel traffic / Y. Duan, F. Zhu, G. Xiong, Y. Li and Y. Lv -- chapter 3. Secure provable data possession for big data storage / Z. Zou and Q. Kong -- chapter 4. The responsive tourism logistics from local public transport domain : the case of Pattaya city / W. Ngamsirijit -- chapter 5. Smart cities, urban sensing, and big data : mining geo-location in social networks / D. Sacco, G. Motta, L.-I. You, N. Bertolazzo, F. Carini and T.-y. Ma -- chapter 6. Parallel public transportation system and its application in evaluating evacuation plans for large-scale activities / F. Zhu, S. chen, Y, Lv, X. Dong and G. Xiong -- chapter 7. Predicting financial risk from revenue reports / B. Qian and H. Li -- chapter 8. Novel ITS based on space-air-ground collected big data / G. Xiong, F. Zhu, X. Dong, H. Fan, B. Hu, Q. Kong, W. Kang and T. Teng -- chapter 9. Behavior modeling and its application in an emergency management parallel system for chemical plants / X. Liu, X. Shang, X. Dong and G. Xiong -- chapter 10. The next generation of enterprise knowledge management systems for the It service industry / R. Anand -- chapter 11. Expertise recommendation and new skill assessment with multicue semantic information / J. Wang, K.R. Varshney, A. Mojsilovic, D. Fang and J.H. Bauer -- chapter 12. On the behavioral theory of the networked firm / G. Nyman, J. Peltonen, M. Nelson, J. Karjalainen, M. Laine, T. Nyberg and H. Tuomisaari. |
| Record Nr. | UNINA-9910583368803321 |
Liu Xiwei
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| London : , : Academic Press, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
| Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 005.7 |
| Collana | Lecture notes in social networks |
| Soggetto topico |
Dades massives
Mineria de dades Comunitats virtuals Big data |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67044-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References. Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction. 2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References. |
| Record Nr. | UNISA-996466404703316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors
| Big data and social media analytics : trending applications / / Mehmet Çakırtaş, Mehmet Kemal Ozdemir, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (246 pages) |
| Disciplina | 005.7 |
| Collana | Lecture notes in social networks |
| Soggetto topico |
Dades massives
Mineria de dades Comunitats virtuals Big data |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-67044-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis -- 1 Introduction -- 2 Scholarly Networks Analysis -- 3 Preliminaries and Data -- 3.1 Co-authorship Network of Network Scientists -- 3.2 Glossary -- 3.3 Data Collection and Preparation -- 4 Analysis of Network Science Papers -- 5 Analysis of the Co-authorship Network -- 6 Conclusion -- References -- Impact of Locational Factors on Business Ratings/Reviews: A Yelp and TripAdvisor Study -- 1 Introduction -- 2 Related Work -- 3 Methodology and Datasets -- 3.1 Methodology -- 3.2 Restaurant Success Metric -- 3.3 Restaurant Dataset -- 3.3.1 Yelp-2019 Dataset -- 3.3.2 TripAdvisor Dataset -- 3.4 Location Dataset -- 4 Effect of Location Parameters on Restaurant Success -- 4.1 Location Characteristic Parameters -- 4.1.1 Living Standard -- 4.1.2 Tourism Significance -- 4.1.3 Business Convenience -- 4.1.4 Combined Parameters -- 4.2 Correlation Metrics -- 4.2.1 Spearman's Correlation -- 4.2.2 Kendall's Correlation -- 4.3 Correlation Results -- 4.3.1 State-Wise Correlation Using All Restaurants -- 4.3.2 Cluster-Wise Correlation Using All Restaurants -- 5 Conclusion -- References -- Identifying Reliable Recommenders in Users' Collaborating Filtering and Social Neighbourhoods -- 1 Introduction -- 2 Related Work -- 3 SN CF Prediction Formulation Foundations -- 4 The Proposed Algorithm and the Partial Prediction Combination Alternatives -- 4.1 The Proposed Algorithm -- 4.2 Alternatives for Combining the CF and SN Partial Predictions -- 4.3 Complexity Analysis -- 5 Experimental Evaluation -- 5.1 Prediction Accuracy Experiments Using the PCC as the Similarity Metric -- 5.2 Prediction Accuracy Experiments Using the CS as the Similarity Metric -- 6 Conclusions and Future Work -- References.
Safe Travelling Period Recommendation to High Attack Risk European Destinations Based on Past Attack Information -- 1 Introduction -- 2 Related Work -- 3 Algorithm Prerequisites -- 4 Prediction Algorithm -- 5 Experimental Results -- 5.1 Number of Attacks as the Evaluation Parameter -- 5.2 Number of Fatalities as the Evaluation Parameter -- 6 Conclusion and Future Work -- References -- Analyzing Cyber Influence Campaigns on YouTube Using YouTubeTracker -- 1 Introduction -- 2 State of the Art in YouTube Analysis -- 3 YouTubeTracker -- 3.1 Tracker Feature -- 3.2 Posting Frequency -- 3.3 Content Analysis -- 3.4 Content Engagement -- 4 Case Study: 2018 Trident Juncture Exercise -- 5 Extended Work -- 5.1 Elasticsearch -- 5.2 2019 Canadian Elections Use-Case -- 5.3 Video Characterization Using T-SNE and Barcode Visualization -- 6 Conclusion and Future Works -- References -- Blog Data Analytics Using Blogtrackers -- 1 Introduction -- 2 State of the Art in Blog Monitoring and Analysis -- 3 Blogtrackers: Analytical Capabilities -- 4 Analysis of Asia-Pacific Blogs: A Case Study -- 5 Conclusion and Future Works -- References -- Using Social Media Surveillance in Order to Enhance the Effectiveness of Crew Members in Search and Rescue Missions -- 1 Introduction -- 2 Related Work -- 2.1 Search and Rescue Missions (SARs) -- 2.2 Social Media in Crisis Situations -- 2.3 Visual Search Principles & -- Patterns -- 3 Problem Statement -- 4 Methodology -- 4.1 Description -- 4.2 Simulation Platform -- 4.3 Scenario -- 5 Experimental Analysis -- 5.1 Experimental Description -- 5.2 Results -- 6 Conclusions -- References -- Visual Exploration and Debugging of Machine Learning Classification over Social Media Data -- 1 Introduction -- 2 Related Work -- 3 SAVIZ: Brief Overview -- 3.1 User Experience -- 4 Conclusion -- References. Efficient and Flexible Compression of Very Sparse Networksof Big Data -- 1 Introduction -- 2 Background and Related Work -- 3 Our Efficient and Flexible Compression Model -- 3.1 Graph Representation of a Social Network -- 3.2 Matrix Representation of a Social Network -- 3.3 Bit Vector Representation of a Follower in a Social Network -- 3.4 Word-Aligned Hybrid (WAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.4.1 An Example of WAH Compressed Bitmap -- 3.5 Improved Position List Word-Aligned Hybrid (IPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.5.1 An Example of IPLWAH(1) Compressed Bitmap -- 3.5.2 An Example of IPLWAH(2) Compressed Bitmap -- 3.6 Multi-group Position List Word-Aligned Hybrid (MPLWAH) Compressed Bitmap Representation of a Follower in a Social Network -- 3.6.1 An Example of MPLWAH(2) Compressed Bitmap -- 3.6.2 An Example of MPLWAH(3) Compressed Bitmap -- 3.6.3 Other Examples of MPLWAH(3) Compressed Bitmaps -- 4 Our Data Science Solution for Social Network Mining on MPLWAH Compressed Bitmaps -- 4.1 An Example of Discovering Frequently Followed Groups of Followees from a Social Network Represented by a Collection of MPLWAH(3) Compressed Bitmaps -- 5 Evaluation -- 5.1 Evaluation on Memory Consumption -- 5.2 Evaluation on Runtime -- 5.3 Evaluation on Scalability -- 6 Conclusion -- References -- Weather Big Data Analytics: Seeking Motifs in Multivariate Weather Data -- 1 Introduction -- 2 Related Work -- 3 Temperatures Time Series Analysis and Clustering -- 3.1 Data Acquisition -- 3.2 Data Preparation and Curation -- 3.3 Discretization -- 3.4 LERP-RSA Construction -- 3.5 ARPaD Pattern Discovery -- 3.6 Similarity Meta-analysis -- 4 Experimental Analysis -- 5 Conclusions -- References -- Analysis of Link Prediction Algorithms in Hashtag Graphs -- 1 Introduction. 2 Background and Motivation -- 3 Foundation of the Hashtag Graph -- 3.1 Unweighted Heuristic Link Prediction Methods -- 3.2 Edge-Weighted Heuristic Link Prediction Methods -- 3.3 Graph Neural Network Link Prediction with SEAL -- 3.3.1 SEAL -- 3.3.2 Node Labelling -- 3.4 Other Heuristic Link Prediction Methods -- 3.4.1 Katz Index -- 3.4.2 SimRank -- 3.4.3 Rooted PageRank -- 4 Methodology: Vertex-and-Edge-Weighted Heuristic Link Prediction Methods -- 5 Experimental Setup -- 5.1 Data Collection -- 5.2 Data Pre-processing -- 6 Results -- 6.1 Heuristic Link Prediction Methods -- 6.2 SEAL -- 7 Conclusions and Future Research -- References. |
| Record Nr. | UNINA-9910490024903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data and social science : a practical guide to methods and tools / edited by Ian Foster ... [et al.]
| Big data and social science : a practical guide to methods and tools / edited by Ian Foster ... [et al.] |
| Pubbl/distr/stampa | Boca Raton ; London ; New York : CRC : Chapman & Hall, 2017 |
| Descrizione fisica | XIX, 356 p. : ill. ; 25 cm |
| Disciplina | 005.7 |
| Collana | Chapman & Hall/CRC statistics in the social and behavioral sciences series |
| Soggetto topico |
Big data - Sociologia
Scienze sociali - Ricerche - Metodo - Impiego [degli] elaboratori elettronici |
| ISBN | 978-1-4987-5140-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996226847403316 |
| Boca Raton ; London ; New York : CRC : Chapman & Hall, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data and Visual Analytics [[electronic resource] /] / edited by Sang C. Suh, Thomas Anthony
| Big Data and Visual Analytics [[electronic resource] /] / edited by Sang C. Suh, Thomas Anthony |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 263 p. 27 illus., 10 illus. in color.) |
| Disciplina | 005.7 |
| Soggetto topico |
Computers
Artificial intelligence Mathematics Visualization Information Systems and Communication Service Artificial Intelligence |
| ISBN | 3-319-63917-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information visualization -- Data analytics -- Visual analytics -- Intelligent information systems -- Business analytics,- Virtual data machine -- Big data architecture -- Security of big data -- Big data applications -- Tensor-based computation and modeling -- High performance computing cluster -- Big data technologies. |
| Record Nr. | UNINA-9910255454203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar
| Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar |
| Autore | Fahad Akhtar Syed Muhammad |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78883-638-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910467011003321 |
|
Fahad Akhtar Syed Muhammad
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| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar
| Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar |
| Autore | Fahad Akhtar Syed Muhammad |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN | 1-78883-638-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796804903321 |
|
Fahad Akhtar Syed Muhammad
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||
| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar
| Big data architect's handbook : a guide to build proficiency in tools and systems used by leading big data experts / / Syed Muhammad Fahad Akhtar |
| Autore | Fahad Akhtar Syed Muhammad |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN | 1-78883-638-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910825164803321 |
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Fahad Akhtar Syed Muhammad
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| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| 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
| 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. | UNINA-9910483993003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| 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
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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