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Big Data : A Beginner's Introduction
| Big Data : A Beginner's Introduction |
| Autore | Sarangi Saswat |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Routledge India, , 2019 |
| Descrizione fisica | 1 online resource (141 pages) |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN |
1-000-65097-9
1-000-65079-0 0-429-33079-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Big Data: What, Why and How? 2. Big Data and AI 3. What Big Data is not? 4. How Data Analytics works? 5. Big Data: The Applications 6. Why Big Data Matters? 7. The challenges with Big Data 8. Big Data: the Key Questions 9. Big Data: Is there a question mark on ethics? 10. The Future of Big Data. |
| Record Nr. | UNINA-9910793614703321 |
Sarangi Saswat
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| [Place of publication not identified] : , : Routledge India, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data : A Beginner's Introduction
| Big Data : A Beginner's Introduction |
| Autore | Sarangi Saswat |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : Routledge India, , 2019 |
| Descrizione fisica | 1 online resource (141 pages) |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN |
1-000-65097-9
1-000-65079-0 0-429-33079-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Big Data: What, Why and How? 2. Big Data and AI 3. What Big Data is not? 4. How Data Analytics works? 5. Big Data: The Applications 6. Why Big Data Matters? 7. The challenges with Big Data 8. Big Data: the Key Questions 9. Big Data: Is there a question mark on ethics? 10. The Future of Big Data. |
| Record Nr. | UNINA-9910822149703321 |
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Sarangi Saswat
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| [Place of publication not identified] : , : Routledge India, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data : an art of decision making / / Eglantine Schmitt
| Big data : an art of decision making / / Eglantine Schmitt |
| Autore | Schmitt Eglantine |
| Pubbl/distr/stampa | London, UK : , : ISTE Ltd. |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 005.7 |
| Collana | Intellectual technologies set |
| Soggetto topico |
Big data
Data mining |
| ISBN |
1-119-77699-6
1-119-77701-1 1-119-77700-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555055703321 |
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Schmitt Eglantine
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| London, UK : , : ISTE Ltd. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data : an art of decision making / / Eglantine Schmitt
| Big data : an art of decision making / / Eglantine Schmitt |
| Autore | Schmitt Eglantine |
| Pubbl/distr/stampa | London, UK : , : ISTE Ltd. |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 005.7 |
| Collana | Intellectual technologies set |
| Soggetto topico |
Big data
Data mining |
| ISBN |
1-119-77699-6
1-119-77701-1 1-119-77700-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830308803321 |
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Schmitt Eglantine
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| London, UK : , : ISTE Ltd. | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data [[electronic resource] ] : 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings / / edited by Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang
| Big Data [[electronic resource] ] : 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings / / edited by Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (xv, 432 pages) : illustrations |
| Disciplina | 005.7 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Big data
Computers Machine learning Computer communication systems Optical data processing Architecture, Computer Big Data Information Systems and Communication Service Machine Learning Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computer System Implementation |
| ISBN | 981-15-1899-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Big Data Modelling and Methodology -- A constrained self-adaptive sparse combination representation method for abnormal event detection -- A Distributed Scheduling Framework of Service based ETL Process -- A Probabilistic Soft Logic Reasoning Model with Automatic Rule Learning -- Inferring How Novice Students Learn to Code: Integrating Automated Program Repair with Cognitive Model -- Predicting Friendship Using a Unified Probability Model -- Product Feature Extraction via Topic Model and Synonym Recognition Approach -- Vietnamese Noun Phrase Chunking Based on BiLSTM-CRF Model and Constraint Rules -- Big Data Support and Architecture -- A Distributed Big Data Discretization Algorithm under Spark -- A Novel Distributed Duration-aware LSTM for Large Scale Sequential Data Analysis -- Considering User Distribution and Cost Awareness to Optimize Server Deployment -- Convolutional Neural Networks on EEG-based Emotion Recognition -- Distributed Subgraph Matching Privacy Preserving Method for Dynamic Social Network -- Big Data Processing -- Clustering-Anonymization-Based Differential Location Privacy Preserving Protocol in WSN -- Distributed Graph Perturbation Algorithm on Social Networks with Reachability Preservation -- Minimum Spanning Tree Clustering Based on Density Filtering -- Research of CouchDB Storage Plugin for Big Data Query Engine Apache Drill -- Visual Saliency Based on Two-Dimensional Fractional Fourier Transform -- Big Data Analysis -- An Information Sensitivity Inference Method for Big Data Aggregation Based on Granular Analysis -- Attentional Transformer Networks for Target-Oriented Sentiment Classification -- Distributed Logistic Regression for Separated Massive Data -- Similarity Evaluation on Labeled Graphs via Hierarchical Core Decomposition -- Weighted Multi-label Learning with Rank Preservation -- Orthogonal Graph Regularized Nonnegative Matrix Factorization for Image Clustering -- Big Data Application -- Characteristics of Patient Arrivals and Service Utilization in Outpatient Departments -- College Academic Achievement Early Warning Prediction based on Decision Tree Model -- Intelligent Detection of Large-scale KPI Streams Anomaly Based on Transfer learning -- Latent Feature Representation for Cohesive Community Detection based on Convolutional Auto-Encoder -- Research on Monitoring Method of Ethylene Oxide Process by Improving C4.5 Algorithm -- Web API Recommendation with Features Ensemble and Learning-to-Rank -- EagleQR: An Application in Accessing Printed Text for the Elderly and Low Vision People. |
| Record Nr. | UNINA-9910357842803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data [[electronic resource] ] : 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings / / edited by Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu
| Big Data [[electronic resource] ] : 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings / / edited by Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XX, 590 p. 219 illus.) |
| Disciplina | 005.7 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Big data
Artificial intelligence Data mining Optical data processing Computer system failures Big Data Artificial Intelligence Data Mining and Knowledge Discovery Image Processing and Computer Vision System Performance and Evaluation |
| ISBN | 981-13-2922-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural language processing and text mining -- Big data analytics and smart computing -- Big data applications -- The application of big data in machine learning -- Social networks and recommendation systems -- Parallel computing and storage of big data -- Data quality control and data governance -- Big data system and management. |
| Record Nr. | UNINA-9910299298403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data : algorithms, analytics, and applications / / edited by Kuan-Ching Li, Providence University, Taiwan; Hai Jiang, Arkansas State University, USA; Laurence T. Yang, St. Francis Xavier University, Canada; Alfredo Cuzzocrea, ICAR-CNR and Univ
| Big data : algorithms, analytics, and applications / / edited by Kuan-Ching Li, Providence University, Taiwan; Hai Jiang, Arkansas State University, USA; Laurence T. Yang, St. Francis Xavier University, Canada; Alfredo Cuzzocrea, ICAR-CNR and Univ |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , [2015] |
| Descrizione fisica | 1 online resource (478 p.) |
| Disciplina | 005.7 |
| Collana |
Chapman & Hall/CRC Big Data Series
Chapman & Hall Book |
| Soggetto topico |
Big data
Database management Data mining Machine theory |
| ISBN |
0-367-57595-7
0-429-17401-2 1-4987-6040-6 1-78539-823-7 1-4822-4056-4 |
| Classificazione | COM021030COM037000MAT000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Foreword by Jack Dongarra; Preface; Editors; Contributors; Chapter 1: Scalable Indexing for Big Data Processing; Chapter 2: Scalability and Cost Evaluation of Incremental Data Processing Using Amazon's Hadoop Service; Chapter 3: Singular Value Decomposition, Clustering, and Indexing for Similarity Search for Large Data Sets in High-Dimensional Spaces; Chapter 4: Multiple Sequence Alignment and Clustering with Dot Matrices, Entropy, and Genetic Algorithms; Chapter 5: Approaches for High-Performance Big Data Processing : Applications and Challenges
Chapter 6: The Art of Scheduling for Big Data ScienceChapter 7: Time-Space Scheduling in the MapReduce Framework; Chapter 8: GEMS: Graph Database Engine for Multithreaded Systems; Chapter 9: KSC-net : Community Detection for Big Data Networks; Chapter 10: Making Big Data Transparent to the Software Developers' Community; Chapter 11: Key Technologies for Big Data Stream Computing; Chapter 12: Streaming Algorithms for Big Data Processing on Multicore Architecture Chapter 13: Organic Streams : A Unified Framework for Personal Big Data Integration and Organization Towards Social Sharing and Individualized Sustainable UseChapter 14: Managing Big Trajectory Data : Online Processing of Positional Streams; Chapter 15: Personal Data Protection Aspects of Big Data; Chapter 16: Privacy-Preserving Big Data Management : The Case of OLAP; Chapter 17: Big Data in Finance; Chapter 18: Semantic-Based Heterogeneous Multimedia Big Data Retrieval; Chapter 19: Topic Modeling for Large-Scale Multimedia Analysis and Retrieval Chapter 20: Big Data Biometrics Processing : A Case Study of an Iris Matching Algorithm on Intel Xeon PhiChapter 21: Storing, Managing, and Analyzing Big Satellite Data : Experiences and Lessons Learned from a Real-World Application; Chapter 22: Barriers to the Adoption of Big Data Applications in the Social Sector; Back Cover |
| Record Nr. | UNINA-9910679263203321 |
| Boca Raton : , : CRC Press, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data : 2014 IEEE International Conference on Big Data : 27-30 October 2014, Washington, DC, USA / / Institute of Electrical and Electronics Engineers
| Big Data : 2014 IEEE International Conference on Big Data : 27-30 October 2014, Washington, DC, USA / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 |
| Descrizione fisica | 1 online resource (146 pages) |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN | 1-4799-5666-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996279329303316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data : 2014 IEEE International Conference on Big Data : 27-30 October 2014, Washington, DC, USA / / Institute of Electrical and Electronics Engineers
| Big Data : 2014 IEEE International Conference on Big Data : 27-30 October 2014, Washington, DC, USA / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 |
| Descrizione fisica | 1 online resource (146 pages) |
| Disciplina | 005.7 |
| Soggetto topico | Big data |
| ISBN | 1-4799-5666-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910135243203321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data & information analytics
| Big data & information analytics |
| Pubbl/distr/stampa | Springfield, MO : , : American Institute of Mathematical Sciences |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Decision making - Mathematical models |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Computer Science |
| ISSN | 2380-6974 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Big data and information analytics
BigDIA |
| Record Nr. | UNINA-9910340839903321 |
| Springfield, MO : , : American Institute of Mathematical Sciences | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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