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New Trends in Databases and Information Systems

Overview of attention for book
New Trends in Databases and Information Systems
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 Distributing N-Gram Graphs for Classification
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    Chapter 2 Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth
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    Chapter 3 T $$^2$$ K $$^2$$ : The Twitter Top-K Keywords Benchmark
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    Chapter 4 Outlier Detection in Data Streams Using OLAP Cubes
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    Chapter 5 Balancing Performance and Energy for Lightweight Data Compression Algorithms
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    Chapter 6 Asynchronous Graph Pattern Matching on Multiprocessor Systems
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    Chapter 7 Predicting Access to Persistent Objects Through Static Code Analysis
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    Chapter 8 Query-Driven Knowledge-Sharing for Data Integration and Collaborative Data Science
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    Chapter 9 A Declarative Approach to Analyzing Schema Objects and Functional Dependencies
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    Chapter 10 Dear Mobile Agent, Could You Please Find Me a Parking Space?
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    Chapter 11 P2P Deductive Databases: Well Founded Semantics and Distributed Computation
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    Chapter 12 Is Distributed Database Evaluation Cloud-Ready?
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    Chapter 13 New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops
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    Chapter 14 Publication Data Integration as a Tool for Excellence-Based Research Analysis at the University of Latvia
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    Chapter 15 Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications
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    Chapter 16 CEUR Make GUI - A Usable Web Frontend Supporting the Workflow of Publishing Proceedings of Scientific Workshops
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    Chapter 17 A Framework for Temporal Ontology-Based Data Access: A Proposal
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    Chapter 18 Towards Semantic Assessment of Summarizability in Self-service Business Intelligence
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    Chapter 19 Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems
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    Chapter 20 Spatio-Temporal Evolution of Scientific Knowledge
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    Chapter 21 Parallel Subspace Clustering Using Multi-core and Many-core Architectures
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    Chapter 22 Discovering High-Utility Itemsets at Multiple Abstraction Levels
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    Chapter 23 Automatic Organization of Semantically Related Tags Using Topic Modelling
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    Chapter 24 Fuzzy Recommendations in Marketing Campaigns
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    Chapter 25 Efficient Data Management for Putting Forward Data Centric Sciences
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    Chapter 26 Towards a Multi-way Similarity Join Operator
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    Chapter 27 Workload-Independent Data-Driven Vertical Partitioning
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    Chapter 28 Can SQ and EQ Values and Their Difference Indicate Programming Aptitude to Reduce Dropout Rate?
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    Chapter 29 Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
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    Chapter 30 Data Science Techniques for Law and Justice: Current State of Research and Open Problems
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    Chapter 31 Using Data Analytics for Continuous Improvement of CRM Processes: Case of Financial Institution
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    Chapter 32 Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case
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    Chapter 33 Introducing Narratives in Europeana: Preliminary Steps
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    Chapter 34 Evaluation of Semantic Web Ontologies for Modelling Art Collections
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    Chapter 35 The CrossCult Knowledge Base: A Co-inhabitant of Cultural Heritage Ontology and Vocabulary Classification
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    Chapter 36 The Port History Ontology
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    Chapter 37 A WordNet Ontology in Improving Searches of Digital Dialect Dictionary
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    Chapter 38 When It Comes to Querying Semantic Cultural Heritage Data
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    Chapter 39 Preference-Based Stream Analysis for Efficient Decision-Support Systems
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    Chapter 40 Formalization of Database Reverse Engineering
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    Chapter 41 Supporting Conceptual Modelling in ORM by Reasoning
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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