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Big Data Analytics [[electronic resource] ] : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
| Big Data Analytics [[electronic resource] ] : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (466 pages) |
| Disciplina | 005.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Application software Database management Data Mining and Knowledge Discovery Artificial Intelligence Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-030-37188-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection. |
| Record Nr. | UNISA-996466188103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy
| Big Data Analytics : 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings / / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (466 pages) |
| Disciplina |
005.7
006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Artificial intelligence Application software Database management Data Mining and Knowledge Discovery Artificial Intelligence Information Systems Applications (incl. Internet) Database Management |
| ISBN | 3-030-37188-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big Data Analytics: Vision and Perspectives -- Transforming Sensing Data into Smart Data for Smart Sustainable Cities -- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions -- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System -- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data -- Search and Information Extraction -- Improving Result Diversity using Query Term Proximity in Exploratory Search -- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents -- Pairing Users in Social Media via Processing Meta-data from Conversational Files -- Large-Scale Information Extraction from Emails with Data Constraints -- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language -- Predictive Analytics in Medical and Agricultural Domains -- Artificial Intelligence and Bayesian Knowledge Network in Health Care – Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings -- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification -- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques -- Graph Analytics -- TKG: Efficient Mining of Top-K Frequent Subgraphs -- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency! -- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks -- Data-Driven Optimization of Public Transit Schedule -- Pattern Mining -- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases -- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data -- Local Temporal Compression for (Globally) Evolving Spatial Surfaces -- An Explicit Relationship between Sequential Patterns and their Concise Representations -- Machine Learning -- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories -- Analysis and Recognition of Hand-drawn Images with Effective Data Handling -- Real Time Static Gesture Detection Using Deep Learning -- Interpreting Context of Images using Scene Graphs -- Deep Learning in the Domain of Near-Duplicate Document Detection. |
| Record Nr. | UNINA-9910364954403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science in Agriculture and Natural Resource Management
| Data Science in Agriculture and Natural Resource Management |
| Autore | Reddy G. P. Obi |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (326 pages) |
| Altri autori (Persone) |
RavalMehul S
AdinarayanaJ ChaudharySanjay |
| Collana | Studies in Big Data Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-5847-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502670603321 |
Reddy G. P. Obi
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Research Advances in Cloud Computing [[electronic resource] /] / edited by Sanjay Chaudhary, Gaurav Somani, Rajkumar Buyya
| Research Advances in Cloud Computing [[electronic resource] /] / edited by Sanjay Chaudhary, Gaurav Somani, Rajkumar Buyya |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XX, 465 p. 126 illus., 81 illus. in color.) |
| Disciplina | 004.6 |
| Soggetto topico |
Computer communication systems
Computer hardware Computer security Application software Computer Communication Networks Computer Hardware Systems and Data Security Information Systems Applications (incl. Internet) |
| ISBN | 981-10-5026-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Towards Performance and Dependability Bench marking of Cloud Computing -- Chapter 2. Big data Security and Privacy Issues in Cloud -- Chapter 3. Resource Allocation in Cloud Computing: Concepts, State of-the-art, and Research Challenges -- Chapter 4. Key management hierarchies for data access control in cloud -- Chapter 5. Accounting models in Cloud Computing -- Chapter 6. Data Analytics in Cloud-A streaming approach -- Chapter 7. Infrastructure Cloud and Performance -- Chapter 8. Cloud Computing for Big Data Analytics -- Chapter 9. Cloud Storage Techniques -- Chapter 10. Identity and Permission Management Challenges for Platform Services in Cloud computing -- Chapter 11. Container-based virtualization and security concerns in them -- Chapter 12. Applications of trusted computing in cloud computing -- Chapter 13. Investigating the possibility of data leakage in time of live VM migration -- Chapter 14. How Cloud Computing Can Transform Businesses? -- Chapter 15. Brokering of Cloud Services -- Chapter 16. Virtualization Security -- Chapter 17. Cloud Service Monitoring-Open Issues and Research Directions. |
| Record Nr. | UNINA-9910254844603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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