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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 MLDM 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9729)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, 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
  21. Content Based Identification of Talk Show Videos Using Audio Visual Features
    Atta Muhammad, Sher Muhammad Daudpota
    Pages 267-283
  22. IncMSTS-PP: An Algorithm to the Incremental Extraction of Significant Sequences from Environmental Sensor Data
    Carlos Roberto Silveira Junior, Marcela Xavier Ribeiro, Marilde Terezinha Prado Santos
    Pages 284-293
  23. DSCo: A Language Modeling Approach for Time Series Classification
    Daoyuan Li, Li Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
    Pages 294-310
  24. Statistical Learning on Manifold-Valued Data
    Alexander Kuleshov, Alexander Bernstein
    Pages 311-325
  25. A New Strategy for Case-Based Reasoning Retrieval Using Classification Based on Association
    Ahmed Aljuboori, Farid Meziane, David Parsons
    Pages 326-340
  26. Tracking Communities over Time in Dynamic Social Network
    Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
    Pages 341-345
  27. Generalized Hand Gesture Recognition for Wearable Devices in IoT: Application and Implementation Challenges
    Darshan Iyer, Fahim Mohammad, Yuan Guo, Ebrahim Al Safadi, Benjamin J. Smiley, Zhiqiang Liang et al.
    Pages 346-355
  28. A Review on Artificial Intelligence Based Parameter Forecasting for Soil-Water Content
    Ferhat Özçep, Eray Yıldırım, Okan Tezel, Metin Aşçı, Savaş Karabulut, Tazegül Özçep
    Pages 356-361
  29. Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms
    Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
    Pages 362-376
  30. Location-Aware Ad Recommendation to Bid for Impressions
    Satish Kumar Verma
    Pages 377-386
  31. Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining
    Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An
    Pages 387-400
  32. Energy Disaggregation Based on Semi-Binary NMF
    Masako Matsumoto, Yu Fujimoto, Yasuhiro Hayashi
    Pages 401-414
  33. A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks
    Qiang You, Ou Wu, Guan Luo, Weiming Hu
    Pages 415-420
  34. Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities
    Qiang You, Ou Wu, Guan Luo, Weiming Hu
    Pages 421-434
  35. On Genetic Algorithms for Detecting Frequent Item Sets And Large Bite Sets
    Roman A. Sizov, Dan A. Simovici
    Pages 435-445
  36. Multi-view Learning for Classification of X-Ray Crystallography Images
    B. M. Thamali Lekamge, Arcot Sowmya, Janet Newman
    Pages 446-458
  37. C-KPCA: Custom Kernel PCA for Cancer Classification
    Van-Sang Ha, Ha-Nam Nguyen
    Pages 459-467
  38. LiveDoc: Showing Contextual Information Using Topic Modeling Techniques
    Jayati Deshmukh, K. M. Annervaz, Shubhashis Sengupta, Neetu Pathak
    Pages 468-482
  39. Genetic-Based Thresholds for Multi Histogram Equalization Image Enhancement
    Saeed Sedighi, Mehdi Roopaei, Sos Agaian
    Pages 483-490
  40. A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data
    Francky Fouedjio
    Pages 491-500
  41. On Learning and Exploiting Time Domain Traffic Patterns in Cellular Radio Access Networks
    Jordi Pérez-Romero, Juan Sánchez-González, Oriol Sallent, Ramon Agustí
    Pages 501-515
  42. Pruning a Random Forest by Learning a Learning Algorithm
    Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara
    Pages 516-529
  43. Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach
    Fatih Akdag, Christoph F. Eick
    Pages 530-544
  44. MapReduce-Based Growing Neural Gas for Scalable Cluster Environments
    Johannes Fliege, Wolfgang Benn
    Pages 545-559
  45. Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns
    Thanapat Kangkachit, Kitsana Waiyamai
    Pages 560-568
  46. Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound
    Yoshiaki Okubo, Makoto Haraguchi, Etsuji Tomita
    Pages 569-583
  47. Simulator Prototyping Through Graphical Dependency Modeling
    Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan
    Pages 584-598
  48. Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys
    Shruti Kaushik, Abhinav Choudhury, Kaustubh Mallik, Anzer Moid, Varun Dutt
    Pages 599-613
  49. Feature Selection for Handling Concept Drift in the Data Stream Classification
    Pavel Turkov, Olga Krasotkina, Vadim Mottl, Alexey Sychugov
    Pages 614-629
  50. Feature Reduction for Multi Label Classification of Discrete Data
    V. Susheela Devi, Bhupesh Akhand
    Pages 630-642

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
  • Buy this book on publisher's site