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Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya
| Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya |
| Autore | Banerjee Indradip |
| Pubbl/distr/stampa | De Gruyter, 2019 |
| Descrizione fisica | 1 online resource (ix, 144 pages) : illustrations |
| Disciplina | 005.7 |
| Collana | De Gruyter Frontiers in Computational Intelligence |
| Soggetto topico | Big data |
| ISBN |
3-11-060596-1
3-11-060605-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Introduction -- 2. Digital identity protection using blockchain for academic qualification certificates -- 3. Anomaly detection in cloud big database metric -- 4. Use of big data in hacking and social engineering -- 5. Steganography, the widely used name for data hiding -- 6. Big data security issues with challenges and solutions -- 7. Conclusions |
| Record Nr. | UNISA-996333144003316 |
Banerjee Indradip
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| De Gruyter, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya
| Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya |
| Autore | Banerjee Indradip |
| Pubbl/distr/stampa | De Gruyter, 2019 |
| Descrizione fisica | 1 online resource (ix, 144 pages) : illustrations |
| Disciplina | 005.7 |
| Collana | De Gruyter Frontiers in Computational Intelligence |
| Soggetto topico | Big data |
| ISBN |
3-11-060596-1
3-11-060605-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Introduction -- 2. Digital identity protection using blockchain for academic qualification certificates -- 3. Anomaly detection in cloud big database metric -- 4. Use of big data in hacking and social engineering -- 5. Steganography, the widely used name for data hiding -- 6. Big data security issues with challenges and solutions -- 7. Conclusions |
| Record Nr. | UNINA-9910404123603321 |
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Banerjee Indradip
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| De Gruyter, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data SMACK [[electronic resource] ] : A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka / / by Raul Estrada, Isaac Ruiz
| Big Data SMACK [[electronic resource] ] : A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka / / by Raul Estrada, Isaac Ruiz |
| Autore | Estrada Raul |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 |
| Descrizione fisica | 1 online resource (XXV, 264 p. 74 illus., 52 illus. in color.) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Database management Data structures (Computer science) Big Data Database Management Data Structures |
| ISBN | 1-4842-2175-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Introduction -- Chapter 1. Big Data, Big Problems -- Chapter 2. Big Data, Big Solutions -- Part 2. Playing SMACK -- Chapter 3. The Language: Scala -- Chapter 4. The Model: Akka -- Chapter 5. Storage. Apache Cassandra -- Chapter 6. The View -- Chapter 7. The Manager: Apache Mesos -- Chapter 8. The Broker: Apache Kafka -- Part 3. Improving SMACK -- Chapter 9. Fast Data Patterns -- Chapter 10. Big Data Pipelines -- Chapter 11. Glossary. |
| Record Nr. | UNINA-9910254753703321 |
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Estrada Raul
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Support of Urban Planning and Management [[electronic resource] ] : The Experience in China / / edited by Zhenjiang Shen, Miaoyi Li
| Big Data Support of Urban Planning and Management [[electronic resource] ] : The Experience in China / / edited by Zhenjiang Shen, Miaoyi Li |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXX, 456 p. 254 illus., 232 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Advances in Geographic Information Science |
| Soggetto topico |
Energy policy
Energy and state Transportation Environmental management Economic geography Regional planning Urban planning Data mining Energy Policy, Economics and Management Water Policy/Water Governance/Water Management Economic Geography Landscape/Regional and Urban Planning Data Mining and Knowledge Discovery |
| ISBN | 3-319-51929-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Overview: Big Data Support for Urban Planning and Management in China -- Part 1: Social Big Data for Exploring Human Behaviors and Urban Structure -- Chapter 2: Early Warning of Human Crowds Based on Query Data from Baidu Map: A Lesson from Shanghai Stampede -- Chapter 3: Research on Spatial Distribution Characteristics of Residents’ Emotions Based on Sina Weibo Big Data: A Case Study of Nanjing -- Chapter 4: Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data -- Chapter 5: Assessment of Regional Economic Integration Based on Relational Data: The Case of the Yangtze River Delta -- Chapter 6: The Recognition of CAZ in Shanghai Based on Evaluated POI -- Chapter 7: The Fear of Ebola: A Tale of Two Cities in China -- Part 2: POI for Exploring Urban Space Recognition -- Chapter 8: Identifying and Evaluating Urban Centers for the Whole China Using Open Data -- Chapter 9: Geographic Big Data’s Applications in Retailing Business Market -- Chapter 10: Redefinition the Social Space Based on Social Atlas Analysis: A Case Study of Dongguan, China -- Chapter 11: The Spatial and Temporal Evolution of Innovative Function of Science and Technology of Beijing Based on the Analysis of Enterprise Data -- Part 3: Mobile Device Data for Integrating Land Use and Transportation Planning -- Chapter 12: Spatial Development Analysis of the Southern Area of Beijing Based on Multi-Source Data -- Chapter 13: Study on Population Dynamics and Mobility of Shanghai Based on Cell Phone Signaling Data -- Chapter 14: The Application of Big Data in the Study of Urban Spatial Structure -- Chapter 15: Application of Cellular Data in Traffic Planning -- Chapter16: Extract the Spatial-temporal Distribution of Transit Trips from Smart Card Transaction Data: A Comparison between Shanghai and Singapore -- Part 4: Cyber Infrastructure for Urban Management -- Chapter 17: Traffic Big Data and Its Application in Road Traffic Performance Evaluation-Illustrated by the Case of Shenzhen -- Chapter 18: Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop -- Chapter 19: Towards Mobility Turn in Urban Planning: Smart Travel Planning Based on Space-Time Behavior in Beijing, China -- Chapter 20: Observing and Quantifying Vitality of Dashilanr: An Automatic Human Activity Data Collection Experiment -- Chapter 21: Urban wind path planning based on meteorological and remote sensing data and GIS based ventilation analysis -- Chapter 22: A Synthesized Urban Science in the Context of Big Data and Cyber infrastructure. |
| Record Nr. | UNINA-9910299381503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Technologies and Applications [[electronic resource] /] / by Borko Furht, Flavio Villanustre
| Big Data Technologies and Applications [[electronic resource] /] / by Borko Furht, Flavio Villanustre |
| Autore | Furht Borko |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (xviii, 400 p.) : ill |
| Disciplina | 005.7 |
| Soggetto topico |
Computers
Software engineering Computer science—Mathematics Computer mathematics Information Systems and Communication Service Software Engineering Mathematical Applications in Computer Science |
| ISBN | 3-319-44550-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Big Data -- Big Data Analytics -- Transfer Learning Techniques -- Visualizing Big Data -- Deep Learning and Big Data -- The HPCC/ECL Platform for Big Data -- Scalable Automated Linking Technology for Big Data Computing -- Aggregated Data Analysis in HPCC Systems -- Models for Big Data -- Data Intensive Supercomputing Solutions -- Graph Processing with Massive Datasets: A KEL Primer -- HPCC Systems for Cyber Security Analytics -- Social Network Analytics: Hidden and Complex Fraud Schemes -- Modeling Ebola Spread and Using HPCC/KEL System -- Unsupervised Learning and Image Classification in High Performance Computing Cluster. |
| Record Nr. | UNINA-9910254991003321 |
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Furht Borko
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Technologies and Applications [[electronic resource] ] : 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings / / edited by Zeng Deze, Huan Huang, Rui Hou, Seungmin Rho, Naveen Chilamkurti
| Big Data Technologies and Applications [[electronic resource] ] : 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings / / edited by Zeng Deze, Huan Huang, Rui Hou, Seungmin Rho, Naveen Chilamkurti |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (xii, 208 pages) : illustrations |
| Disciplina | 005.7 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Big data
Computer networks Computer engineering Computer systems Social sciences - Data processing Computer Communication Networks Computer Engineering and Networks Computer System Implementation Computer Application in Social and Behavioral Sciences |
| ISBN | 3-030-72802-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Constructing Knowledge Graph for Prognostics and Health Management of On-board Train Control System based on Big Data and XGBoost -- Early Detecting the At-risk Students in Online Courses based on Their Behavior Sequences Do College Students Adapt to Their Personal Learning EnvironmentPLE? A Single-Group Study -- A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry -- A Multi-Valued Logic Assessment of Organizational Performance via Workforce Social Networking -- Research on the Sharing and Application of TCM Digital Resources -- Statistical Research on Macroeconomic Big Data:Using a Bayesian Stochastic Volatility Model Introducing and benchmarking a one-shot learning gesture recognition dataset -- NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems -- Performance Evaluation of Energy Detection, Matched Filtering and KNN under Different Noise Models -- Hybrid Deep-readout Echo State Network and Support Vector Machine with Feature Selection for Human Activity Recognition -- Research on User Privacy Security of China’s Top Ten Online Game Platforms Spectrum Sensing and Prediction for 5G Radio -- Towards Preventing Neighborhood Attacks: Proposal of A New Anonymization’s Approach for Social Networks Data. |
| Record Nr. | UNISA-996464410003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data Technologies and Applications [[electronic resource] ] : 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings / / edited by Zeng Deze, Huan Huang, Rui Hou, Seungmin Rho, Naveen Chilamkurti
| Big Data Technologies and Applications [[electronic resource] ] : 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings / / edited by Zeng Deze, Huan Huang, Rui Hou, Seungmin Rho, Naveen Chilamkurti |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (xii, 208 pages) : illustrations |
| Disciplina | 005.7 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Big data
Computer networks Computer engineering Computer systems Social sciences - Data processing Computer Communication Networks Computer Engineering and Networks Computer System Implementation Computer Application in Social and Behavioral Sciences |
| ISBN | 3-030-72802-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Constructing Knowledge Graph for Prognostics and Health Management of On-board Train Control System based on Big Data and XGBoost -- Early Detecting the At-risk Students in Online Courses based on Their Behavior Sequences Do College Students Adapt to Their Personal Learning EnvironmentPLE? A Single-Group Study -- A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry -- A Multi-Valued Logic Assessment of Organizational Performance via Workforce Social Networking -- Research on the Sharing and Application of TCM Digital Resources -- Statistical Research on Macroeconomic Big Data:Using a Bayesian Stochastic Volatility Model Introducing and benchmarking a one-shot learning gesture recognition dataset -- NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems -- Performance Evaluation of Energy Detection, Matched Filtering and KNN under Different Noise Models -- Hybrid Deep-readout Echo State Network and Support Vector Machine with Feature Selection for Human Activity Recognition -- Research on User Privacy Security of China’s Top Ten Online Game Platforms Spectrum Sensing and Prediction for 5G Radio -- Towards Preventing Neighborhood Attacks: Proposal of A New Anonymization’s Approach for Social Networks Data. |
| Record Nr. | UNINA-9910483757903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Technologies and Applications [[electronic resource] ] : 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings / / edited by Jason J. Jung, Pankoo Kim, Kwang Nam Choi
| Big Data Technologies and Applications [[electronic resource] ] : 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings / / edited by Jason J. Jung, Pankoo Kim, Kwang Nam Choi |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 147 p. 78 illus., 57 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Data mining
Software engineering Optical data processing Computer organization Data Mining and Knowledge Discovery Software Engineering/Programming and Operating Systems Computer Imaging, Vision, Pattern Recognition and Graphics Computer Systems Organization and Communication Networks Big data |
| ISBN | 3-319-98752-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Study on the Transaction Linkage Technique Combining the Designated Terminal -- Development of ADDA (Additional Data) -- Algorithm for IoT security and privacy -- Fine-grained Data Traffic Management System based on VPN Technology -- Segmentation of Hanacaraka Characters using Double Projection Profile and Hough Transform -- Face Expression Extraction using Eigenfaces, Fisherfaces and Local Binary Pattern Histogram towards Predictive Analysis of Students Emotion in Programming -- Improving Indoor Positioning Performance in a Emergency Deployment System -- Network Engineering: Towards Data-driven Framework for Network Configuration -- Detecting Human Emotion via Speech Recognition by using Ensemble Classification Model -- Pattern Analysis of Natural Disasters in the Philippines Session 4: S/W Engineering and E-Commerce -- Improving software automation testing using Jenkins, and machine learning under big data -- Mining IT Job-Order Services: Basis for Policy Formulation & IT Resource Allocation -- eCommerce Sales Attrition: A Business Intelligence Visualization -- Keyboard and Mouse: Tools in Identifying Emotions during Computer Activities -- Waiting Time Screening in Healthcare -- Analysis and visualization of university twitter feeds sentiment. |
| Record Nr. | UNINA-9910299164703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Technologies and Applications [[electronic resource] ] : 7th International Conference, BDTA 2016, Seoul, South Korea, November 17–18, 2016, Proceedings / / edited by Jason J. Jung, Pankoo Kim
| Big Data Technologies and Applications [[electronic resource] ] : 7th International Conference, BDTA 2016, Seoul, South Korea, November 17–18, 2016, Proceedings / / edited by Jason J. Jung, Pankoo Kim |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 155 p. 63 illus.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Data mining
Artificial intelligence Algorithms Computer communication systems Data Mining and Knowledge Discovery Artificial Intelligence Algorithm Analysis and Problem Complexity Computer Communication Networks |
| ISBN | 3-319-58967-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Visualization of Mixed Attributed High-Dimensional Dataset using SVD -- Max-flow Min-cut Algorithm in Spark with Application to Road Networks -- Association between Regional Difference in Heart Rate Variability and Inter-prefecture Ranking of Healthy Life 1 Expectancy: ALLSTAR Big Data Project in Japan -- Allocation four neighbor exclusive channels to polyhedron clusters in sensor networks -- Feature selection Techniques for Improving Rare Class Classification in Semiconductor Manufacturing Process -- A Novel Method for Extracting Dynamic Character Network from Movie -- Handling Uncertainty in Clustering Art-exhibition Visiting Styles -- Using Geotagged Resources on Social Media for Cultural Tourism: A Case Study on Cultural Heritage Tourism -- Archaeological Site Image Content Retrieval and Automated Generating Image Descriptions with Neural Network -- Correcting Misspelled Words in Twitter Text -- Theoretical Concept of Inverse Kinematic Models to determine valid Work Areas using Target Coordinates from NC-programs ISSB -- Ransomware-prevention Technique using Key Backup -- Multi-level Steganography Based on Fuzzy Vault Systems and Secret Sharing Techniques -- On Exploiting Static and Dynamic Features in Malware Classification -- Distributed Compressive Sensing for Correlated Information Sources -- MMSE based Interference Cancellation and Beamforming Scheme for Signal Transmission in IoT -- A Multi-User-Collaboration Platform Concept for Managing Simulation-Based Optimization of Virtual Tooling as Big Data Exchange Service. |
| Record Nr. | UNINA-9910254811603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Technology and Applications [[electronic resource] ] : First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings / / edited by Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu
| Big Data Technology and Applications [[electronic resource] ] : First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings / / edited by Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 324 p. 132 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Computers Information storage and retrieval Computer simulation Data Mining and Knowledge Discovery Models and Principles Information Storage and Retrieval Simulation and Modeling |
| ISBN | 981-10-0457-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910255002103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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