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  • Conference proceedings
  • © 2018

Machine Learning and Data Mining in Pattern Recognition

14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10934)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): MLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition

Conference proceedings info: MLDM 2018.

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XV
  2. MaxMin Linear Initialization for Fuzzy C-Means

    • Aybüke Öztürk, Stéphane Lallich, Jérôme Darmont, Sylvie Yona Waksman
    Pages 1-15
  3. Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis

    • Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov
    Pages 16-27
  4. Social Media Sentiment Analysis Based on Domain Ontology and Semantic Mining

    • Daoping Wang, Liangyue Xu, Amjad Younas
    Pages 28-39
  5. Mining Associations in Large Graphs for Dynamically Incremented Marked Nodes

    • Anshul Rai, Zackary Crosley, Srivignessh Pacham Sri Srinivasan
    Pages 40-48
  6. A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy

    • Rawan AlSaad, Somaya Al-maadeed, Md. Abdullah Al Mamun, Sabri Boughorbel
    Pages 64-76
  7. Compact Representation of Documents Using Terms and Termsets

    • Dima Badawi, Hakan Altınçay
    Pages 77-84
  8. PATENet: Pairwise Alignment of Time Evolving Networks

    • Shlomit Gur, Vasant G. Honavar
    Pages 85-98
  9. Hierarchical Bayesian Classifier Combination

    • Mohammad Ghasemi Hamed, Ahmad Akbari
    Pages 113-125
  10. Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength

    • Manoel Alves de Almeida Neto, Roberta de Andrade de A. Fagundes, Carmelo J. A. Bastos-Filho
    Pages 126-137
  11. Automated Contradiction Detection in Biomedical Literature

    • Noha S. Tawfik, Marco R. Spruit
    Pages 138-148
  12. Following the Common Thread Through Word Hierarchies

    • Matthias J. Feiler
    Pages 149-158
  13. Document Clustering Using Local and Universal Knowledge

    • Kazem Qazanfari, Abdou Youssef
    Pages 159-173
  14. Predicting Drug Target Interactions Based on GBDT

    • Jiyun Chen, Jihong Wang, Xiaodan Wang, Yingyi Du, Huiyou Chang
    Pages 202-212
  15. From Black-Box to White-Box: Interpretable Learning with Kernel Machines

    • Hao Zhang, Shinji Nakadai, Kenji Fukumizu
    Pages 213-227

Other Volumes

  1. Machine Learning and Data Mining in Pattern Recognition

About this book

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. 
The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as  image mining, text mining, video mining, and Web mining.


Editors and Affiliations

  • Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany

    Petra Perner

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access