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Advanced Data Mining and Applications

8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings

  • Conference proceedings
  • © 2012

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Editors:
  1. Shuigeng Zhou

    1. School of Computer Science, Fudan University, Shanghai, China

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  2. Songmao Zhang

    1. Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China

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  3. George Karypis

    1. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7713)

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

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Conference proceedings info: ADMA 2012.

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Table of contents (64 papers)

  1. Front Matter

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  2. Social Media Mining

    1. Leave or Stay: The Departure Dynamics of Wikipedia Editors

      • Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere
      Pages 1-14

    2. Cross-Modal Information Retrieval – A Case Study on Chinese Wikipedia

      • Yonghui Cong, Zengchang Qin, Jing Yu, Tao Wan
      Pages 15-26

    3. Unsupervised Learning Chinese Sentiment Lexicon from Massive Microblog Data

      • Shi Feng, Lin Wang, Weili Xu, Daling Wang, Ge Yu
      Pages 27-38

    4. Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets

      • Lilia Hannachi, Ounas Asfari, Nadjia Benblidia, Fadila Bentayeb, Nadia Kabachi, Omar Boussaid
      Pages 39-51

  3. Clustering

    1. Constrained Spectral Clustering Using Absorbing Markov Chains

      • Jianyuan Li, Jihong Guan
      Pages 52-63

    2. Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework

      • Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu et al.
      Pages 64-77

    3. Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features

      • Yi Zhuang, Dickson K. W. Chiu, Nan Jiang, Guochang Jiang, Zhiang Wu
      Pages 78-90

    4. Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links

      • John Park, Xiaoying Gao, Peter Andreae
      Pages 91-99

    5. Mining Fuzzy Moving Object Clusters

      • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire
      Pages 100-114

    6. Exemplars-Constraints for Semi-supervised Clustering

      • Hongjun Wang, Tao Li, Tianrui Li, Yan Yang
      Pages 115-126

    7. Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm

      • Lihe Song, Weixu Zhan, Shuchai Qian, Jian Yin
      Pages 127-137

    8. A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks

      • Li Liu, Dangping Fan, Ming Liu, Guandong Xu, Shiping Chen, Yuan Zhou et al.
      Pages 138-148

  4. Machine Learning: Algorithms and Applications

    1. A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition

      • Chao Tan, Jihong Guan
      Pages 149-160

    2. Sparse Boosting with Correlation Based Penalty

      • Junlong Zhao
      Pages 161-172

    3. Learning from Multiple Naive Annotators

      • Chirine Wolley, Mohamed Quafafou
      Pages 173-185

    4. Query by Committee in a Heterogeneous Environment

      • Hao Shao, Bin Tong, Einoshin Suzuki
      Pages 186-198

    5. Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications

      • Wentao Fan, Nizar Bouguila
      Pages 199-213

    6. A New Multi-label Learning Algorithm Using Shelly Neighbors

      • Huawen Liu, Shichao Zhang, Jianmin Zhao, Jianbin Wu, Zhonglong Zheng
      Pages 214-222

    7. Kernel Mean Matching with a Large Margin

      • Qi Tan, Huifang Deng, Pei Yang
      Pages 223-234
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  1. Advanced Data Mining and Applications

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About this book

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

Editors and Affiliations

  • School of Computer Science, Fudan University, Shanghai, China

    Shuigeng Zhou

  • Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China

    Songmao Zhang

  • Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA

    George Karypis

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