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New Trends in Databases and Information Systems

Overview of attention for book
Cover of 'New Trends in Databases and Information Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 29: Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
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Summary
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Chapter title
Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
Chapter number 29
Book title
New Trends in Databases and Information Systems
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-67162-8_29
Book ISBNs
978-3-31-967161-1, 978-3-31-967162-8
Authors

Anam Haq, Szymon Wilk

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Nursing and Health Professions 1 25%
Unknown 1 25%

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