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ORCID17. PAKDD 2013: Gold Coast, Australia
- Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7818, Springer 2013, ISBN 978-3-642-37452-4 - Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe
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Discovering Local Subgroups, with an Application to Fraud Detection. 1-12 - Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data. 13-25 - Claude Pasquier, Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher:
Frequent Pattern Mining in Attributed Trees. 26-37 - Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao:
Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. 38-49 - Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals:
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. 50-61 - Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu:
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. 62-73 - Xin Xin, Kun Zhuang, Ying Fang, Heyan Huang:
Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis. 74-85 - Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos:
F-Trail: Finding Patterns in Taxi Trajectories. 86-98 - Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, Wang-Chien Lee:
Mining Appliance Usage Patterns in Smart Home Environment. 99-110 - Nandita Sharma, Tom Gedeon:
Computational Models of Stress in Reading Using Physiological and Physical Sensor Data. 111-122 - Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. 123-135 - Sunil Aryal, Kai Ming Ting:
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. 136-148 - Nayyar Abbas Zaidi, Geoffrey I. Webb:
Fast and Effective Single Pass Bayesian Learning. 149-160 - Raghvendra Mall, Johan A. K. Suykens:
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. 161-173 - Feng Qian, Kevin Chiew, Qinming He, Hao Huang, Lianhang Ma:
Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph. 174-186 - Liyan Song, Yun Peng, Byron Choi, Jianliang Xu, Bingsheng He:
Spectral Decomposition for Optimal Graph Index Prediction. 187-200 - Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos:
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. 201-212 - Huan Xu, Yujiu Yang, Liangwei Wang, Wenhuang Liu:
Node Classification in Social Network via a Factor Graph Model. 213-224 - Lianhua Chi, Bin Li, Xingquan Zhu:
Fast Graph Stream Classification Using Discriminative Clique Hashing. 225-236 - Boris Cule, Bart Goethals, Tayena Hendrickx:
Mining Interesting Itemsets in Graph Datasets. 237-248 - Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm:
Robust Synchronization-Based Graph Clustering. 249-260 - Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl:
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. 261-275 - Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin:
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. 276-288 - Phuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma:
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. 289-300 - Qian Zhang, Junping Zhang, Chenghai Xue:
Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula. 301-313 - Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Representative Movement Patterns through Compression. 314-326 - Hooman Homayounfard, Paul J. Kennedy, Robin Braun:
NARGES: Prediction Model for Informed Routing in a Communications Network. 327-338 - Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu:
Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction. 339-353 - Po Hu, Yujing Guo, Dong-Hong Ji, Jiacong He:
Leveraging Hybrid Citation Context for Impact Summarization. 354-365 - Wei Wei, Jinyan Li, Longbing Cao, Jingguang Sun, Chunming Liu, Mu Li:
Optimal Allocation of High Dimensional Assets through Canonical Vines. 366-377 - Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui:
Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. 378-389 - Lin Wu, Yang Wang, John Shepherd, Xiang Zhao:
An Optimization Method for Proportionally Diversifying Search Results. 390-401 - Yong Zhang, Dong-Hong Ji, Ying Su, Hongmiao Wu:
Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis. 402-413 - Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai, Yun Jin, Chen-Mou Cheng, Shou-De Lin:
An Unsupervised Learning Model to Perform Side Channel Attack. 414-425 - Eileen A. Ni, Da Kuang, Charles X. Ling:
Decisive Supervised Learning. 426-437 - Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein:
Learning Overlap Optimization for Domain Decomposition Methods. 438-449 - Harshit Dubey, Vikram Pudi:
CLUEKR : CLUstering Based Efficient kNN Regression. 450-458 - Zhonghua Jiang, George Karypis:
AREM: A Novel Associative Regression Model Based on EM Algorithm. 459-470 - Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao:
One-Class Transfer Learning with Uncertain Data. 471-483 - Goce Ristanoski, Wei Liu, James Bailey:
Time Series Forecasting Using Distribution Enhanced Linear Regression. 484-495 - Jiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang:
Twin Bridge Transfer Learning for Sparse Collaborative Filtering. 496-507 - Yi Guo, Junbin Gao, Feng Li:
Dimensionality Reduction with Dimension Selection. 508-519 - Xiaofeng Zhu, Zi Huang, Xindong Wu:
Multi-View Visual Classification via a Mixed-Norm Regularizer. 520-531 - Abdulmohsen Algarni, Yuefeng Li:
Mining Specific Features for Acquiring User Information Needs. 532-543 - Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya:
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. 544-555 - Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao:
Exploring Groups from Heterogeneous Data via Sparse Learning. 556-567 - Juan Yang, Jia Zeng, William K. Cheung:
Multiplex Topic Models. 568-582 - Ran Wang, Chuan Shi, Philip S. Yu, Bin Wu:
Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network. 583-594 - Han Xiao, Huang Xiao, Claudia Eckert:
Learning from Multiple Observers with Unknown Expertise. 595-606
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