Icdm 2014 Research Papers

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications.

ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels and, since 2007, the ICDM data mining contest.


Message to ICDM 2013 Attendees
Although the Dallas area has recently experienced severe weather conditions, the IEEE International Conference on Data Mining (ICDM 2013) is still scheduled to be held as planned, beginning on Saturday, 7 December.

 

Our first concern is complying with the instructions of local officials and for the safety of our attendees. We are continuing to monitor these conditions and will regularly update the website to keep you informed.  

 

Should you experience delays in your hotel arrival or need to cancel reservations, please contact the Sheraton Dallas at +1 800 325 3535 (within the U.S. and Canada); +1 214 922 8000 to update your hotel accommodations accordingly.

 

Please check ICDM 2013 conference website for information updates.

 

 

 

 

IEEE ICDM Best Paper Awards


  • IEEE ICDM 2017 Best Paper Awards:
    • Best Paper Award
      TensorCast: Forecasting with Context using Coupled Tensors
      by Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, and Christos Faloutsos
    • Best Student Paper Award
      Time Series Chains: A New Primitive for Time Series Data Mining
      by Yan Zhu, Makoto Imamura, Daniel Nikovski, and Eamonn Keogh
  • IEEE ICDM 2016 Best Paper Awards:
    • Best Paper Award
      KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
      by Viktor Losing, Barbara Hammer, and Heiko Wersing
    • Best Paper Award Runner-Up
      Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study
      by Wei Zhang, Suyog Gupta, and Fei Wang
    • Best Student Paper Award
      Boosted L-EnsNMF: Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
      by Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
  • IEEE ICDM 2015 Best Paper Awards:
    • Best Paper Award
      Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search
      by Grey Ballard, Seshadhri Comandur, Tamara Kolda, and Ali Pinar
    • Best Student Paper Award
      From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics
      by Linyun Yu, Peng Cui, Fei Wang, Chaoming Song, and Shiqiang Yang
  • IEEE ICDM 2014 Best Paper Awards:
    • Best Paper Award
      Ternary Matrix Factorization,
      by Sam Maurus and Claudia Plant
    • Best Student Paper Award
      Factorized Similarity Learning in Networks,
      by Shiyu Chang, Guo-Jun Qi, Charu Aggarwal, Jiayu Zhou, Meng Wang, and Thomas Huang
  • IEEE ICDM 2013 Best Paper Awards:
    • Best Paper Award
      Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, and Guang-Zhong Sun,
      Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach
    • Best Paper Award Runner-Up
      Ahmed Farahat, Ahmed Elgohary, Ali Ghodsi, and Mohamed Kamel,
      Distributed Column Subset Selection on MapReduce
    • Best Student Paper Award
      Tianyi Zhou, Wei Bian, and Dacheng Tao,
      Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix
  • IEEE ICDM 2012 Best Paper Awards:
    • Best Paper Award
      Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
      Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit Dhillon
    • Best Paper Runner-Up Award
      Active Evaluation of Classifiers on Large Datasets
      by Namit Katariya, Arun Iyer, and Sunita Sarawagi
    • Best Student Paper Award
      Sparse Group Selection on Fused Lasso Components for Identifying Group-specific DNA Copy Number Variations
      by Ze Tian, Huanan Zhang, and Rui Kuang
  • IEEE ICDM 2011 Best Paper Awards:
    • Best Research Paper Award
      Personalized Travel Package Recommendation
      by Qi Liu, Yong Ge, Zhongmou Li, EnHong Chen, and Hui Xiong
    • Best Student Paper Award
      Structured Feature Selection and Task Relationship Inference for Multi-Task Learning
      by Hongliang Fei and Jun Huan
  • IEEE ICDM 2010 Best Paper Awards:
    • Best Research Paper Award:
      Timothy de Vries, Sanjay Chawla, and Michael Houle,
      Finding Local Anomalies in Very High Dimensional Space
    • Runner-up for Best Research Paper Award:
      Dijun Luo, Chris Ding, and Heng huang,
      Towards Structural Sparsity: An Explicit l2/l0 Approach
    • Best Application Paper Award:
      Jaewon Yang and Jure Leskovec,
      Modeling Information Diffusion in Social Media
    • Honorable Mention:
      Chang-Dong Wang, Jian-Huang Lai, and Jun-Yong Zhu,
      A Conscience On-line Learning Approach for Kernel-Based Clustering
    • Honorable Mention:
      Fei Wang, Ping Li, and Christian Konig,
      Learning a Bi-Stochastic Data Similarity Matrix
  • IEEE ICDM 2009 Best Paper Awards:
    • Best Paper Awards:
      • Best Theoretical/Algorithms Paper Award: Deepak Agarwal, Bee-Chung Chen, and Pradheep Elango, Explore/Exploit Schemes for Web Content Optimization
      • Best Application Paper Award: Nikos Pelekis, Ioannis Kopanakis, Evangelos Kotsifakos, Elias Frentzos, and Yannis Theodoridis, Clustering Trajectories of Moving Objects in an Uncertain World
      • Best Student Paper Awards: Michael Hay, Chao Li, Gerome Miklau, and David Jensen, Accurate Estimation of the Degree Distribution of Private Networks
    • Best Paper Runner-Up Awards:
      • Theoretical/Algorithms Category: Jennifer Neville, Brian Gallagher, and Tina Eliassi-Rad, Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
      • Applications Category: U Kang, Charalampos Tsourakakis, and Christos Faloutsos, PEGASUS: A Peta-Scale Graph Mining System - Implementation and Observations
      • Student Paper: Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, and Zheng Chen, Inverse Time Dependency in Convex Regularized Learning
  • IEEE ICDM 2008 Best Paper Awards:
    • Best Theoretical/Algorithms Paper Award: “Scalable Tensor Decomposition for Multi-Aspect Data Mining”, by Tamara Kolda and Jimeng Sun
    • Best Application Paper Award: “Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research”, by Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Robert Perneczky, Alexander Drzezga, Alexander Kurz, and Stefan Kramer
    • Best Student Paper Awards: “A Randomized Approach for Approximating the Number of Frequent Sets”, by Mario Boley and Henrik Grosskreutz
    • Best Paper Runner-Up Awards:
      • Theoretical/Algorithms Category: “Isolation Forest”, by Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou
      • Applications Category: “Web Mining for Understanding Stories through Graph Visualization”, by Ilija Subasic and Bettina Berendt
  • IEEE ICDM '07 Best Paper Awards:
    • Theoretical/Algorithms Category: Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets, by Dragomir Yankov, Eamonn Keogh, and Umaa Rebbapragada
    • Applications Category: Rule Cubes for Causal Investigations, by Axel Blumenstock, Franz Schweiggert, and Markus Mueller
    • Best Paper Runner-Up Awards:
      • Theoretical/Algorithms Category: GMDA: General Averaged Divergence Analysis, by Dacheng Tao, Xuelong Li, Xindong Wu, and Stephen Maybank
      • Applications Category: Improving Text Classification by Using Encyclopedia Knowledge, by Pu Wang, Jian Hu, Hua-Jun Zeng, Lijun Chen, and Zheng Chen
  • IEEE ICDM 2006 Best Paper Awards:
    • Best Research Paper: Fast Random Walk with Restart and Its Applications
      by Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan
    • Best Application Paper: Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
      by Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, and Xiangshang Li
  • IEEE ICDM 2005 Best Paper Award: Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints
    by Xiaonan Ji, James Bailey, and Guozhu Dong
  • IEEE ICDM 2004 Best Paper Award: Non-Redundant Data Clustering
    by David Gondek and Thomas Hofmann
  • IEEE ICDM 2003 Best Paper Award: On the Privacy Preserving Properties of Random Data Perturbation Techniques
    by Hillol Kargupta, Souptik Datta, Qi Wang, and Krishnamoorthy Sivakumar
  • IEEE ICDM 2002 Best Paper Awards:
    • Best Paper Award: Convex Hull Ensemble Machine
      by Yongdai Kim
    • Best Application Paper Award: Efficient Discovery of Common Substructures in Macromolecules
      by Srinivasan Parthasarathy and Matt Coatney
  • IEEE ICDM 2001 Best Paper Awards:
    • Best Paper Award: A Tight Upper Bound on the Number of Candidate Patterns
      by Floris Geerts, Bart Goethals, and Jan Van den Bussche
    • Best Application Paper Award: Discovering Similar Patterns for Characterizing Time Series in a Medical Domain
      by Fernando Alonso, Juan P. Caraca-Valente, Loic Martinez, and Cesar Montes

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