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Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings | SpringerLink
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Advances in Data Mining. Applications and Theoretical Aspects

18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Petra Perner

    1. Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10933)

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

Included in the following conference series:

Conference proceedings info: ICDM 2018.

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About this book

This volume constitutes the proceedings of the 18th Industrial Conference on Adances in Data Mining, ICDM 2018, held in New York, NY, USA, in July 2018.
The 24 regular papers presented in this book were carefully reviewed and selected from 146 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry, and society.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. An Adaptive Oversampling Technique for Imbalanced Datasets

    • Shaukat Ali Shahee, Usha Ananthakumar
    Pages 1-16

  3. From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing

    • Satu Tamminen, Henna Tiensuu, Eija Ferreira, Heli Helaakoski, Vesa Kyllönen, Juha Jokisaari et al.
    Pages 17-28

  4. Mining Sequential Correlation with a New Measure

    • Mohammad Fahim Arefin, Maliha Tashfia Islam, Chowdhury Farhan Ahmed
    Pages 29-43

  5. A New Approach for Mining Representative Patterns

    • Abeda Sultana, Hosneara Ahmed, Chowdhury Farhan Ahmed
    Pages 44-58

  6. An Effective Ensemble Method for Multi-class Classification and Regression for Imbalanced Data

    • Tahira Alam, Chowdhury Farhan Ahmed, Sabit Anwar Zahin, Muhammad Asif Hossain Khan, Maliha Tashfia Islam
    Pages 59-74

  7. Automating the Extraction of Essential Genes from Literature

    • Ruben Rodrigues, Hugo Costa, Miguel Rocha
    Pages 75-87

  8. Rise, Fall, and Implications of the New York City Medallion Market

    • Sherraina Song
    Pages 88-103

  9. An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

    • Ruixin Yang, Junyi He, Mingyang Xu, Haoqi Ni, Paul Jones, Nagiza Samatova
    Pages 104-118

  10. Evolutionary DBN for the Customers’ Sentiment Classification with Incremental Rules

    • Ping Yang, Dan Wang, Xiao-Lin Du, Meng Wang
    Pages 119-134

  11. Clustering Professional Baseball Players with SOM and Deciding Team Reinforcement Strategy with AHP

    • Kazuhiro Kohara, Shota Enomoto
    Pages 135-147

  12. Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains

    • Matthias Vodel, Marc Ritter
    Pages 148-161

  13. Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study

    • Junmei Zhong, Xiu Yi, De Xuan, Ying Xie
    Pages 162-172

  14. Dynamic Classifier and Sensor Using Small Memory Buffers

    • R. Gelbard, A. Khalemsky
    Pages 173-182

  15. Speeding Up Continuous kNN Join by Binary Sketches

    • Filip Nalepa, Michal Batko, Pavel Zezula
    Pages 183-198

  16. Mining Cross-Level Closed Sequential Patterns

    • Rutba Aman, Chowdhury Farhan Ahmed
    Pages 199-214

  17. An Efficient Approach for Mining Weighted Sequential Patterns in Dynamic Databases

    • Sabrina Zaman Ishita, Faria Noor, Chowdhury Farhan Ahmed
    Pages 215-229

  18. A Decision Rule Based Approach to Generational Feature Selection

    • WiesÅ‚aw Paja
    Pages 230-239

  19. A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem

    • Yi Tang, Bi-Ru Dai
    Pages 240-253

  20. Detection of IP Gangs: Strategically Organized Bots

    • Tianyue Zhao, Xiaofeng Qiu
    Pages 254-265
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Other volumes

  1. Advances in Data Mining. Applications and Theoretical Aspects

Editors and Affiliations

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

    Petra Perner

Bibliographic Information

  • Book Title: Advances in Data Mining. Applications and Theoretical Aspects

  • Book Subtitle: 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings

  • Editors: Petra Perner

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-95786-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-95785-2Published: 04 July 2018

  • eBook ISBN: 978-3-319-95786-9Published: 04 July 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 326

  • Number of Illustrations: 130 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery

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