Advancing Cloud Database Systems and Capacity Planning with Dynamic Applications by Narendra Kumar Kamila
Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.-
Intelligent Multidimensional Data Clustering and Analysis
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Emerging Methods in Predictive Analytics
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Innovative Techniques and Applications of Entity Resolution
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Graph Data Management
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Data Mining and Analysis in the Engineering Field
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XML Data Mining
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Design, Performance, and Analysis of Innovative Information Retrieval
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Intelligent Techniques for Data Analysis in Diverse Settings
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Handbook of Research on Big Data Management and Applications
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Data Mining Trends and Applications in Criminal Science and Investigations
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Web Usage Mining Techniques and Applications Across Industries
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Collaborative Filtering Using Data Mining and Analysis
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Social Media Data Extraction and Content Analysis
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Mobile Technologies for Activity-Travel Data Collection and Analysis
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Web Semantics for Textual and Visual Information Retrieval
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Knowledge Discovery Practices and Emerging Applications of Data Mining
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Emerging Trends in the Development and Application of Composite Indicators
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Web Data Mining and the Development of Knowledge-Based Decision Support Systems
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Data Mining in Public and Private Sectors
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Innovative Document Summarization Techniques
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Data Science and Simulation in Transportation Research
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Data Visualization and Statistical Literacy for Open and Big Data
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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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Data Mining in Dynamic Social Networks and Fuzzy Systems
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Innovative Approaches of Data Visualization and Visual Analytics
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Advanced Database Query Systems
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Exploring the Convergence of Big Data and the Internet of Things
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Text Mining Techniques for Healthcare Provider Quality Determination
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Big Data Management, Technologies, and Applications
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Ethical Data Mining Applications for Socio-Economic Development
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Managing and Processing Big Data in Cloud Computing
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Handbook of Research on Innovative Database Query Processing Techniques
| SKU | Unavailable |
| ISBN 13 | 9781522520139 |
| ISBN 10 | 1522520139 |
| Title | Advancing Cloud Database Systems and Capacity Planning with Dynamic Applications |
| Author | Narendra Kumar Kamila |
| Series | Advances In Data Mining And Database Management |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2017-01-05 |
| Number of pages | 381 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |