Advances in Knowledge Discovery and Data Mining

1. Front Matter

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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. Brownian Bridge Model for High Resolution Location Predictions

      • Miao Lin, Wen-Jing Hsu

      Pages 210-221

   5. Mining Correlation Patterns among Appliances in Smart Home Environment

      • Yi-Cheng Chen, Chien-Chih Chen, Wen-Chih Peng, Wang-Chien Lee

      Pages 222-233

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

• National Cheng Kung University, Tainan, R.O.C.

  Vincent S. Tseng, Hung-Yu Kao

• Japan Advanced Institute of Science and Technology, Nomi, Japan

  Tu Bao Ho

• Nanjing University, China

  Zhi-Hua Zhou

• National Chengchi University, Taipei, R.O.C.

  Arbee L. P. Chen

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