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Database and Expert Systems Applications

29th International Conference, DEXA 2018, Regensburg, Germany, September 3–6, 2018, Proceedings, Part I

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  • © 2018
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Overview

Editors:
  1. Sven Hartmann

    1. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

  2. Hui Ma

    1. Victoria University of Wellington, Wellington, New Zealand

  3. Abdelkader Hameurlain

    1. Paul Sabatier University, Toulouse, France

  4. Günther Pernul

    1. University of Regensburg, Regensburg, Germany

  5. Roland R. Wagner

    1. Johannes Kepler University, Linz, Austria

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11029)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: DEXA 2018.

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About this book

This two volume set of LNCS 11029 and LNCS 11030 constitutes the refereed proceedings of the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018.


The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data integrity and privacy; decision support systems; data semantics; cloud data processing; time series data; social networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics: Information retrieval; uncertain information; data warehouses and recommender systems; data streams; information networks and algorithms; database system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications;data mining; privacy; and text processing.

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Table of contents (28 papers)

  1. Front Matter

    Pages I-XXXIII
    Download chapter PDF

  2. Big Data Analytics

    1. Front Matter

      Pages 1-1
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    2. Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets

      • Carson K. Leung, Hao Zhang, Joglas Souza, Wookey Lee
      Pages 3-17

    3. ScaleSCAN: Scalable Density-Based Graph Clustering

      • Hiroaki Shiokawa, Tomokatsu Takahashi, Hiroyuki Kitagawa
      Pages 18-34

    4. Sequence-Based Approaches to Course Recommender Systems

      • Ren Wang, Osmar R. Zaïane
      Pages 35-50

  3. Data Integrity and Privacy

    1. Front Matter

      Pages 51-51
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    2. BFASTDC: A Bitwise Algorithm for Mining Denial Constraints

      • Eduardo H. M. Pena, Eduardo Cunha de Almeida
      Pages 53-68

    3. BOUNCER: Privacy-Aware Query Processing over Federations of RDF Datasets

      • Kemele M. Endris, Zuhair Almhithawi, Ioanna Lytra, Maria-Esther Vidal, Sören Auer
      Pages 69-84

    4. Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing

      • Nikolai J. Podlesny, Anne V. D. M. Kayem, Stephan von Schorlemer, Matthias Uflacker
      Pages 85-100

  4. Decision Support Systems

    1. Front Matter

      Pages 101-101
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    2. A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses

      • Parul Chaudhary, Anirban Mondal, Polepalli Krishna Reddy
      Pages 103-118

    3. Global Analysis of Factors by Considering Trends to Investment Support

      • Makoto Kirihata, Qiang Ma
      Pages 119-133

    4. Efficient Aggregation Query Processing for Large-Scale Multidimensional Data by Combining RDB and KVS

      • Yuya Watari, Atsushi Keyaki, Jun Miyazaki, Masahide Nakamura
      Pages 134-149

  5. Data Semantics

    1. Front Matter

      Pages 151-151
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    2. Learning Interpretable Entity Representation in Linked Data

      • Takahiro Komamizu
      Pages 153-168

    3. GARUM: A Semantic Similarity Measure Based on Machine Learning and Entity Characteristics

      • Ignacio Traverso-Ribón, Maria-Esther Vidal
      Pages 169-183

    4. Knowledge Graphs for Semantically Integrating Cyber-Physical Systems

      • Irlán Grangel-González, Lavdim Halilaj, Maria-Esther Vidal, Omar Rana, Steffen Lohmann, Sören Auer et al.
      Pages 184-199

  6. Cloud Data Processing

    1. Front Matter

      Pages 201-201
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    2. Efficient Top-k Cloud Services Query Processing Using Trust and QoS

      • Karim Benouaret, Idir Benouaret, Mahmoud Barhamgi, Djamal Benslimane
      Pages 203-217

    3. Answering Top-k Queries over Outsourced Sensitive Data in the Cloud

      • Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
      Pages 218-231
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Other volumes

  1. Database and Expert Systems Applications

  2. Database and Expert Systems Applications

  3. Database and Expert Systems Applications

Editors and Affiliations

  • Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  • Victoria University of Wellington, Wellington, New Zealand

    Hui Ma

  • Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • University of Regensburg, Regensburg, Germany

    Günther Pernul

  • Johannes Kepler University, Linz, Austria

    Roland R. Wagner

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