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  • Conference proceedings
  • © 2017

Advances in Data Mining. Applications and Theoretical Aspects

17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10357)

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

Conference series link(s): ICDM: Industrial Conference on Data Mining

Conference proceedings info: ICDM 2017.

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Table of contents (26 papers)

  1. Front Matter

    Pages I-XI
  2. Tracking Multiple Social Media for Stock Market Event Prediction

    • Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
    Pages 16-30
  3. Ensemble Sales Forecasting Study in Semiconductor Industry

    • Qiuping Xu, Vikas Sharma
    Pages 31-44
  4. Towards an Efficient Method of Modeling “Next Best Action” for Digital Buyer’s Journey in B2B

    • Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg
    Pages 45-56
  5. Association Rule-based Classifier Using Artificial Missing Values

    • Kaoru Shimada, Takaaki Arahira, Takashi Hanioka
    Pages 57-67
  6. Towards a Large Scale Practical Churn Model for Prepaid Mobile Markets

    • Amit Kumar Meher, Jobin Wilson, R. Prashanth
    Pages 93-106
  7. Smart Stores: A Scalable Foot Traffic Collection and Prediction System

    • Soheila Abrishami, Piyush Kumar, Wickus Nienaber
    Pages 107-121
  8. Multivariate Time Series Representation and Similarity Search Using PCA

    • Aminata Kane, Nematollaah Shiri
    Pages 122-136
  9. Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism

    • Koushik Pal, Zissis Poulos, Edward Kim, Andreas Veneris
    Pages 151-165
  10. Visual Scenes Mining for Agent Awareness Module

    • Gang Ma, Zhentao Tang, Xi Yang, Zhongzhi Shi, Kun Yang
    Pages 166-180
  11. Predicting Hospital Re-Admissions from Nursing Care Data of Hospitalized Patients

    • Muhammad K. Lodhi, Rashid Ansari, Yingwei Yao, Gail M. Keenan, Diana Wilkie, Ashfaq A. Khokhar
    Pages 181-193
  12. Activity Prediction in Process Management Using the WoMan Framework

    • Stefano Ferilli, Domenico Redavid, Sergio Angelastro
    Pages 194-208
  13. Hierarchical Text Classification of Autopsy Reports to Determine MoD and CoD Through Term-Based and Concepts-Based Features

    • Ghulam Mujtaba, Liyana Shuib, Ram Gopal Raj, Mohammed Ali Al-Garadi, Retnagowri Rajandram, Khairunisa Shaikh
    Pages 209-222
  14. Collaborative Filtering Fusing Label Features Based on SDAE

    • Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu
    Pages 223-236
  15. Interestingness Classification of Association Rules for Master Data

    • Wei Han, Julio Borges, Peter Neumayer, Yong Ding, Till Riedel, Michael Beigl
    Pages 237-245

Other Volumes

  1. Advances in Data Mining. Applications and Theoretical Aspects

About this book

This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.

The 27 revised full papers presented were carefully reviewed and selected from 71 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 in process control in industry and society.

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 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