Advances in Knowledge Discovery and Data Mining

18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II

  • Vincent S. Tseng
  • Tu Bao Ho
  • Zhi-Hua Zhou
  • Arbee L. P. Chen
  • Hung-Yu Kao
Conference proceedings PAKDD 2014

DOI: 10.1007/978-3-319-06605-9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8444)

Table of contents (50 papers)

  1. Front Matter
  2. Recommendation

    1. CTROF: A Collaborative Tweet Ranking Framework for Online Personalized Recommendation
      Kaisong Song, Daling Wang, Shi Feng, Yifei Zhang, Wen Qu, Ge Yu
      Pages 1-12
    2. Two-Phase Layered Learning Recommendation via Category Structure
      Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
      Pages 13-24
    3. Dynamic Circle Recommendation: A Probabilistic Model
      Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng
      Pages 25-37
    4. HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems
      Evangelia Christakopoulou, George Karypis
      Pages 38-49
    5. Mining GPS Data for Trajectory Recommendation
      Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li
      Pages 50-61
  3. Feature Selection and Reduction

    1. Gaussian Processes Autoencoder for Dimensionality Reduction
      Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
      Pages 62-73
    2. Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation
      Xiaojun Chang, Haoquan Shen, Sen Wang, Jiajun Liu, Xue Li
      Pages 74-85
    3. Highly Scalable Attribute Selection for Averaged One-Dependence Estimators
      Shenglei Chen, Ana M. Martinez, Geoffrey I. Webb
      Pages 86-97
    4. A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data
      Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu
      Pages 98-109
  4. Machine Learning

    1. Constrained Least Squares Regression for Semi-Supervised Learning
      Bo Liu, Liping Jing, Jian Yu, Jia Li
      Pages 110-121
    2. Machine Learning Approaches for Interactive Verification
      Yu-Cheng Chou, Hsuan-Tien Lin
      Pages 122-133
    3. Positional Translation Language Model for Ad-Hoc Information Retrieval
      Xinhui Tu, Jing Luo, Bo Li, Tingting He, Jinguang Gu
      Pages 134-145
    4. Topic Modeling Using Collapsed Typed Dependency Relations
      Elnaz Delpisheh, Aijun An
      Pages 146-161
    5. An Iterative Fusion Approach to Graph-Based Semi-Supervised Learning from Multiple Views
      Yang Wang, Jian Pei, Xuemin Lin, Qing Zhang, Wenjie Zhang
      Pages 162-173
  5. Temporal and Spatial Data

    1. Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning
      Chung-Hsien Yu, Wei Ding, Ping Chen, Melissa Morabito
      Pages 174-185
    2. NLPMM: A Next Location Predictor with Markov Modeling
      Meng Chen, Yang Liu, Xiaohui Yu
      Pages 186-197
    3. Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter
      Da-Cheng Juan, Lei Li, Huan-Kai Peng, Diana Marculescu, Christos Faloutsos
      Pages 198-209
    4. Mining Correlation Patterns among Appliances in Smart Home Environment
      Yi-Cheng Chen, Chien-Chih Chen, Wen-Chih Peng, Wang-Chien Lee
      Pages 222-233

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I
  2. Advances in Knowledge Discovery and Data Mining
    18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II
  3. Trends and Applications in Knowledge Discovery and Data Mining
    PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers

About these proceedings


The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.


Web and social media search clustering and classification data streaming machine learning neural networks probabilistic reasoning recommender systems social networks supervised learning text classification

Editors and affiliations

  • Vincent S. Tseng
    • 1
  • Tu Bao Ho
    • 2
  • Zhi-Hua Zhou
    • 3
  • Arbee L. P. Chen
    • 4
  • Hung-Yu Kao
    • 1
  1. 1.National Cheng Kung UniversityTainanR.O.C.
  2. 2.Japan Advanced Institute of Science and TechnologyNomiJapan
  3. 3.Nanjing UniversityChina
  4. 4.National Chengchi UniversityTaipeiR.O.C.

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06604-2
  • Online ISBN 978-3-319-06605-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349