Data-Intensive Workflow Management by Daniel C M De Oliveira
Preface.- Acknowledgments.- Overview.- Background Knowledge.- Workflow Execution in a Single-Site Cloud.- Workflow Execution in a Multi-Site Cloud.- Workflow Execution in DISC Environments.- Conclusion.- Bibliography.- Authors' Biographies .-
Datalog and Logic Databases
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Blockchain-Enabled Large-Scale Transaction Management
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Query Processing over Incomplete Databases
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On Uncertain Graphs
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Big Data Integration
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An Introduction to Duplicate Detection
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Full-Text (Substring) Indexes in External Memory
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Database Replication
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Data Protection from Insider Threats
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Transaction Processing on Modern Hardware
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Multidimensional Databases and Data Warehousing
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Scalable Processing of Spatial-Keyword Queries
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Generating Plans from Proofs
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Query Processing over Uncertain Databases
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Probabilistic Ranking Techniques in Relational Databases
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Relational and XML Data Exchange
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The Four Generations of Entity Resolution
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Advanced Metasearch Engine Technology
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Privacy-Preserving Data Publishing
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Data Profiling
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Non-Volatile Memory Database Management Systems
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Skylines and Other Dominance-Based Queries
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Peer-to-Peer Data Management
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Web Page Recommendation Models
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Cloud-Based RDF Data Management
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User-Centered Data Management
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Uncertain Schema Matching
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Data Exploration Using Example-Based Methods
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Querying Graphs
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Access Control in Data Management Systems
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Keyword Search in Databases
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Community Search over Big Graphs
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Human Interaction with Graphs
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Data Management in Machine Learning Systems
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Natural Language Data Management and Interfaces
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Data Cleaning
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Blockchains
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Fault-Tolerant Distributed Transactions on Blockchain
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Similarity Joins in Relational Database Systems
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Query Answer Authentication
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Semantics Empowered Web 3.0
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Foundations of Data Quality Management
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Business Processes
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Information and Influence Propagation in Social Networks
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Incomplete Data and Data Dependencies in Relational Databases
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Deep Web Query Interface Understanding and Integration
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Probabilistic Databases
Ji Liu is a professor of comparative education and economics of education at Shaanxi Normal University, and is interested in education policy research at the intersection of teachers, learners, skills, and the economy. He was a consultant at the World Bank Group and part of the World Development Report team. He has published widely, including peer-reviewed articles on top-tier scholarly journals such as Oxford Review of Education, International Journal of Educational Development and Teachers College Record. He earned his Ph.D. from Columbia University in New York City, USA, and holds academic appointment as adjunct faculty of Teachers College, Columbia University, and appointment as senior research associate at NORRAG, The Graduate Institute in Geneva. He was also named a Forbes China 30 Under 30 laureate.
| SKU | Unavailable |
| ISBN 13 | 9783031007446 |
| ISBN 10 | 3031007441 |
| Title | Data-Intensive Workflow Management |
| Author | Daniel C M De Oliveira |
| Series | Synthesis Lectures On Data Management |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2019-05-13 |
| Number of pages | 161 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |