Big Data Analytics - Methods and Applications:
References; Chapter 7 Towards The Development Of Best Data Security For Big Data; Abstract; Introduction; Current Data Security For Big Data; Feasibility And Obstacles Of Big Data; The Proposed Security Intelligence Model For Big Data; Review Methodology; Conclusions And Research Indications; Refere...
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| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Ashland :
Arcler Press,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | References; Chapter 7 Towards The Development Of Best Data Security For Big Data; Abstract; Introduction; Current Data Security For Big Data; Feasibility And Obstacles Of Big Data; The Proposed Security Intelligence Model For Big Data; Review Methodology; Conclusions And Research Indications; References; Chapter 8 Risk Analysis Technique On Inconsistent Interview Big Data Based On Rough Set Approach; Abstract; Introduction; Data Preprocessing; Usace & Hierarchical Holographic Model Based Investment Risk Analysis; Result Analysis; Conclusions; References |
| Beschreibung: | Acknowledgements |
| Beschreibung: | 1 online resource (430 pages) |
| ISBN: | 1773616277 9781773616278 |
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| 505 | 0 | |a Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES; Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges; Abstract; Introduction; Background; Big Data Management; Life Cycle And Management of Data Using Technologies and Terminologies of Big Data; Opportunities, Open Issues, and Challenges; Conclusion; Acknowledgment; References; Chapter 2 Data Modeling and Data Analytics: A Survey from a Big Data Perspective; Abstract | |
| 505 | 8 | |a IntroductionData Modeling; Data Analytics; Discussion; Related Work; Conclusions; Acknowledgements; References; Chapter 3 Building A Productive Domain-Specific Cloud For Big Data Processing And Analytics Service; Abstract; Introduction; Related Work; Seismic Analytics Cloud Implementation; Experiment And Results; Performance Analysis; Future Work And Conclusion; Acknowledgements; References; Chapter 4 Unified Platform For AI and Big Data Analytics; Abstract; Introduction; Idea Extraction Process; Nvidia Artificial Intelligence (AI) Platform | |
| 505 | 8 | |a Configuration of Network Between Host and Slave ServersCreation of Hadoop Cluster on Nvidia AI Platform; Conclusions; Acknowledgements; References; Chapter 5 Semantic Recognition of a Data Structure in Big-Data; Abstract; Introduction; Meta-Information; Semantic Data Profiling Process; Conclusions And Contribution; References; SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS; Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives; Abstract; Introduction; The User Perspective; The Data Perspective; The Hardware Perspective | |
| 520 | |a References; Chapter 7 Towards The Development Of Best Data Security For Big Data; Abstract; Introduction; Current Data Security For Big Data; Feasibility And Obstacles Of Big Data; The Proposed Security Intelligence Model For Big Data; Review Methodology; Conclusions And Research Indications; References; Chapter 8 Risk Analysis Technique On Inconsistent Interview Big Data Based On Rough Set Approach; Abstract; Introduction; Data Preprocessing; Usace & Hierarchical Holographic Model Based Investment Risk Analysis; Result Analysis; Conclusions; References | ||
| 505 | 8 | |a Chapter 9 Development of Multiple Big Data Analytics Platforms With Rapid ResponseAbstract; Introduction; Related Work In Big Data Processing; System Implementation Method; Experimental Results And Discussion; Conclusion; Acknowledgments; References; SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT; Chapter 10 Big Data, Big Change: In The Financial Management; Abstract; Introduction To Big Data; Big Data, Big Change: Accounting Data Processing; Big Data, Big Change: Comprehensive Budget Management; Big Data, Big Change: Management Accounting; Big Data, Big Challenge | |
| 500 | |a Acknowledgements | ||
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| 650 | 6 | |a Données volumineuses. | |
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| contents | Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES; Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges; Abstract; Introduction; Background; Big Data Management; Life Cycle And Management of Data Using Technologies and Terminologies of Big Data; Opportunities, Open Issues, and Challenges; Conclusion; Acknowledgment; References; Chapter 2 Data Modeling and Data Analytics: A Survey from a Big Data Perspective; Abstract IntroductionData Modeling; Data Analytics; Discussion; Related Work; Conclusions; Acknowledgements; References; Chapter 3 Building A Productive Domain-Specific Cloud For Big Data Processing And Analytics Service; Abstract; Introduction; Related Work; Seismic Analytics Cloud Implementation; Experiment And Results; Performance Analysis; Future Work And Conclusion; Acknowledgements; References; Chapter 4 Unified Platform For AI and Big Data Analytics; Abstract; Introduction; Idea Extraction Process; Nvidia Artificial Intelligence (AI) Platform Configuration of Network Between Host and Slave ServersCreation of Hadoop Cluster on Nvidia AI Platform; Conclusions; Acknowledgements; References; Chapter 5 Semantic Recognition of a Data Structure in Big-Data; Abstract; Introduction; Meta-Information; Semantic Data Profiling Process; Conclusions And Contribution; References; SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS; Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives; Abstract; Introduction; The User Perspective; The Data Perspective; The Hardware Perspective Chapter 9 Development of Multiple Big Data Analytics Platforms With Rapid ResponseAbstract; Introduction; Related Work In Big Data Processing; System Implementation Method; Experimental Results And Discussion; Conclusion; Acknowledgments; References; SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT; Chapter 10 Big Data, Big Change: In The Financial Management; Abstract; Introduction To Big Data; Big Data, Big Change: Accounting Data Processing; Big Data, Big Change: Comprehensive Budget Management; Big Data, Big Change: Management Accounting; Big Data, Big Challenge |
| ctrlnum | (OCoLC)1085215306 |
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| dewey-ones | 005 - Computer programming, programs, data, security |
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| discipline | Informatik |
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| id | ZDB-4-EBA-on1085215306 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:21Z |
| institution | BVB |
| isbn | 1773616277 9781773616278 |
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| spelling | Big Data Analytics - Methods and Applications Ashland : Arcler Press, 2019. 1 online resource (430 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES; Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges; Abstract; Introduction; Background; Big Data Management; Life Cycle And Management of Data Using Technologies and Terminologies of Big Data; Opportunities, Open Issues, and Challenges; Conclusion; Acknowledgment; References; Chapter 2 Data Modeling and Data Analytics: A Survey from a Big Data Perspective; Abstract IntroductionData Modeling; Data Analytics; Discussion; Related Work; Conclusions; Acknowledgements; References; Chapter 3 Building A Productive Domain-Specific Cloud For Big Data Processing And Analytics Service; Abstract; Introduction; Related Work; Seismic Analytics Cloud Implementation; Experiment And Results; Performance Analysis; Future Work And Conclusion; Acknowledgements; References; Chapter 4 Unified Platform For AI and Big Data Analytics; Abstract; Introduction; Idea Extraction Process; Nvidia Artificial Intelligence (AI) Platform Configuration of Network Between Host and Slave ServersCreation of Hadoop Cluster on Nvidia AI Platform; Conclusions; Acknowledgements; References; Chapter 5 Semantic Recognition of a Data Structure in Big-Data; Abstract; Introduction; Meta-Information; Semantic Data Profiling Process; Conclusions And Contribution; References; SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS; Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives; Abstract; Introduction; The User Perspective; The Data Perspective; The Hardware Perspective References; Chapter 7 Towards The Development Of Best Data Security For Big Data; Abstract; Introduction; Current Data Security For Big Data; Feasibility And Obstacles Of Big Data; The Proposed Security Intelligence Model For Big Data; Review Methodology; Conclusions And Research Indications; References; Chapter 8 Risk Analysis Technique On Inconsistent Interview Big Data Based On Rough Set Approach; Abstract; Introduction; Data Preprocessing; Usace & Hierarchical Holographic Model Based Investment Risk Analysis; Result Analysis; Conclusions; References Chapter 9 Development of Multiple Big Data Analytics Platforms With Rapid ResponseAbstract; Introduction; Related Work In Big Data Processing; System Implementation Method; Experimental Results And Discussion; Conclusion; Acknowledgments; References; SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT; Chapter 10 Big Data, Big Change: In The Financial Management; Abstract; Introduction To Big Data; Big Data, Big Change: Accounting Data Processing; Big Data, Big Change: Comprehensive Budget Management; Big Data, Big Change: Management Accounting; Big Data, Big Challenge Acknowledgements Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. Big data fast Pehcevski, Jovan. Print version: Pehcevski, Jovan. Big Data Analytics - Methods and Applications. Ashland : Arcler Press, ©2019 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013937 Volltext |
| spellingShingle | Big Data Analytics - Methods and Applications Cover; Half Title Page; Title Page; Copyright Page; Declaration; About the Editor; Table of Contents; List of Contributors; List of Abbreviations; Preface; SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES; Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges; Abstract; Introduction; Background; Big Data Management; Life Cycle And Management of Data Using Technologies and Terminologies of Big Data; Opportunities, Open Issues, and Challenges; Conclusion; Acknowledgment; References; Chapter 2 Data Modeling and Data Analytics: A Survey from a Big Data Perspective; Abstract IntroductionData Modeling; Data Analytics; Discussion; Related Work; Conclusions; Acknowledgements; References; Chapter 3 Building A Productive Domain-Specific Cloud For Big Data Processing And Analytics Service; Abstract; Introduction; Related Work; Seismic Analytics Cloud Implementation; Experiment And Results; Performance Analysis; Future Work And Conclusion; Acknowledgements; References; Chapter 4 Unified Platform For AI and Big Data Analytics; Abstract; Introduction; Idea Extraction Process; Nvidia Artificial Intelligence (AI) Platform Configuration of Network Between Host and Slave ServersCreation of Hadoop Cluster on Nvidia AI Platform; Conclusions; Acknowledgements; References; Chapter 5 Semantic Recognition of a Data Structure in Big-Data; Abstract; Introduction; Meta-Information; Semantic Data Profiling Process; Conclusions And Contribution; References; SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS; Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives; Abstract; Introduction; The User Perspective; The Data Perspective; The Hardware Perspective Chapter 9 Development of Multiple Big Data Analytics Platforms With Rapid ResponseAbstract; Introduction; Related Work In Big Data Processing; System Implementation Method; Experimental Results And Discussion; Conclusion; Acknowledgments; References; SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT; Chapter 10 Big Data, Big Change: In The Financial Management; Abstract; Introduction To Big Data; Big Data, Big Change: Accounting Data Processing; Big Data, Big Change: Comprehensive Budget Management; Big Data, Big Change: Management Accounting; Big Data, Big Challenge Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. Big data fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 |
| title | Big Data Analytics - Methods and Applications |
| title_auth | Big Data Analytics - Methods and Applications |
| title_exact_search | Big Data Analytics - Methods and Applications |
| title_full | Big Data Analytics - Methods and Applications |
| title_fullStr | Big Data Analytics - Methods and Applications |
| title_full_unstemmed | Big Data Analytics - Methods and Applications |
| title_short | Big Data Analytics - Methods and Applications |
| title_sort | big data analytics methods and applications |
| topic | Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Données volumineuses. Big data fast |
| topic_facet | Big data. Données volumineuses. Big data |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013937 |
| work_keys_str_mv | AT pehcevskijovan bigdataanalyticsmethodsandapplications |