Machine Learning and Data Mining in Pattern Recognition

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings

  • Petra Perner
Conference proceedings
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9729)

Table of contents

  1. Front Matter
    Pages I-XIII
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  2. Evolving a Low Price Recovery Strategy for Distressed Securities
    Robert E. Marmelstein, Alexander L. Hunt, Christoper Eroh
    Pages 1-14
  3. A Spectral Clustering Based Outlier Detection Technique
    Yuan Wang, Xiaochun Wang, Xia Li Wang
    Pages 15-27
  4. A Learning Framework to Improve Unsupervised Gene Network Inference
    Turki Turki, William Bassett, Jason T. L. Wang
    Pages 28-42
  5. A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs
    Nour El Islem Karabadji, Sabeur Aridhi, Hassina Seridi
    Pages 43-57
  6. Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths
    Vinh-Trung Luu, Mathis Ripken, Germain Forestier, Frédéric Fondement, Pierre-Alain Muller
    Pages 58-72
  7. Using Support Vector Machines for Intelligent Service Agents Decision Making
    Babak Khosravifar, Mohamed Bouguessa
    Pages 73-87
  8. List Price Optimization Using Customized Decision Trees
    Kiran Rama, Shashank Shekhar, John Kiran, Raghava Rau, Sam Pritchett, Anit Bhandari et al.
    Pages 88-97
  9. AdaMS: Adaptive Mountain Silhouette Extraction from Images
    Daniel Braun, Michael Singhof, Stefan Conrad
    Pages 98-112
  10. K-Means over Incomplete Datasets Using Mean Euclidean Distance
    Loai AbdAllah, Ilan Shimshoni
    Pages 113-127
  11. A Time Series Model of the Writing Process
    Zeev Volkovich
    Pages 128-142
  12. Semantic Aware Bayesian Network Model for Actionable Knowledge Discovery in Linked Data
    Hasanein Alharbi, Mohamad Saraee
    Pages 143-154
  13. Driving Style Identification with Unsupervised Learning
    Vladimir Nikulin
    Pages 155-169
  14. A Hybrid Framework for News Clustering Based on the DBSCAN-Martingale and LDA
    Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris
    Pages 170-184
  15. Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model
    Nahla Barakat
    Pages 185-198
  16. EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets
    Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng
    Pages 199-213
  17. Fast Detection of Block Boundaries in Block-Wise Constant Matrices
    Vincent Brault, Julien Chiquet, Céline Lévy-Leduc
    Pages 214-228
  18. Inferring Censored Geo-Information with Non-Representative Data
    Yu Zhang, Tse-Chuan Yang, Stephen A. Matthews
    Pages 229-235
  19. Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases
    Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong
    Pages 236-250
  20. Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression
    Minhazul Islam Sk, Arunava Banerjee
    Pages 251-266

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Keywords

data mining machine learning natural language processing social network analysis topic modeling anomaly detection association rule bayesian network big data case-based reasoning cellular networks clustering ensemble methods feature extraction fuzzy logic information retrieval sequential pattern mining similarity measures spatial data mining SVM

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.IBaIInst of Comp Vision and applied Comp SciLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41920-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41919-0
  • Online ISBN 978-3-319-41920-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book