Advances in Knowledge Discovery and Data Mining [electronic resource] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings. Part I / Jian Pei [and others] (eds.)
The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selecte...
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Other title: | PAKDD 2013. |
Format: | Electronic Conference Proceeding eBook |
Language: | English |
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Berlin ; New York :
Springer,
©2013.
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Series: | Lecture notes in computer science ;
7818. LNCS sublibrary. Artificial intelligence. Lecture notes in computer science. Lecture notes in artificial intelligence. |
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245 | 1 | 0 | |a Advances in Knowledge Discovery and Data Mining |h [electronic resource] : |b 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings. |n Part I / |c Jian Pei [and others] (eds.) |
246 | 3 | |a PAKDD 2013. | |
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505 | 0 | 0 | |t Discovering Local Subgroups, with an Application to Fraud Detection / |r Rob M. Konijn, Wouter Duivesteijn -- |t PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data / |r Carson Kai-Sang Leung -- |t Frequent Pattern Mining in Attributed Trees / |r Claude Pasquier, Jérémy Sanhes -- |t Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs / |r Anna Fariha, Chowdhury Farhan Ahmed -- |t ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences / |r Antonio Gomariz, Manuel Campos, Roque Marin -- |t Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data / |r Jinjiu Li [and others] -- |t Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis / |r Xin Xin [and others] -- |t F-Trail: Finding Patterns in Taxi Trajectories / |r Yasuko Matsubara, Lei Li -- |t Mining Appliance Usage Patterns in Smart Home Environment / |r Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng -- |t Computational Models of Stress in Reading Using Physiological and Physical Sensor Data / |r Nandita Sharma, Tom Gedeon. |
505 | 8 | 0 | |t Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine / |r Tu Dinh Nguyen, Truyen Tran, Dinh Phung -- |t MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation / |r Sunil Aryal, Kai Ming Ting -- |t Fast and Effective Single Pass Bayesian Learning / |r Nayyar A. Zaidi, Geoffrey I. Webb -- |t Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data / |r Raghvendra Mall, Johan A.K. Suykens -- |t Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph / |r Feng Qian, Kevin Chiew, Qinming He -- |t Spectral Decomposition for Optimal Graph Index Prediction / |r Liyan Song, Yun Peng, Byron Choi -- |t Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model / |r Danai Koutra, Vasileios Koutras -- |t Node Classification in Social Network via a Factor Graph Model / |r Huan Xu, Yujiu Yang, Liangwei Wang -- |t Fast Graph Stream Classification Using Discriminative Clique Hashing / |r Lianhua Chi, Bin Li, Xingquan Zhu. |
505 | 8 | 0 | |t Mining Interesting Itemsets in Graph Datasets / |r Boris Cule, Bart Goethals, Tayena Hendrickx -- |t Robust Synchronization-Based Graph Clustering / |r Junming Shao, Xiao He, Qinli Yang -- |t Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors / |r Stephan Günnemann, Brigitte Boden -- |t Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection / |r Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh -- |t EEG-Based Person Verification Using Multi-Sphere SVDD and UBM / |r Phuoc Nguyen [and others] -- |t Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula / |r Qian Zhang, Junping Zhang, Chenghai Xue -- |t Mining Representative Movement Patterns through Compression / |r Phan Nhat Hai, Dino Ienco, Pascal Poncelet -- |t NARGES: Prediction Model for Informed Routing in a Communications Network / |r Hooman Homayounfard, Paul J. Kennedy -- |t Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction / |r Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu. |
505 | 8 | 0 | |t Leveraging Hybrid Citation Context for Impact Summarization / |r Po Hu [and others] -- |t Optimal Allocation of High Dimensional Assets through Canonical Vines / |r Wei Wei, Jinyan Li, Longbing Cao -- |t Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition / |r Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui --An |t Optimization Method for Proportionally Diversifying Search Results / |r Lin Wu [and others] -- |t Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis / |r Yong Zhang, Dong-Hong Ji, Ying Su --An |t Unsupervised Learning Model to Perform Side Channel Attack / |r Jung-Wei Chou, Min-Huang Chu, Yi-Lin Tsai -- |t Decisive Supervised Learning / |r Eileen A. Ni, Da Kuang, Charles X. Ling -- |t Learning Overlap Optimization for Domain Decomposition Methods / |r Steven Burrows, Jörg Frochte, Michael Völske -- |t CLUEKR : CLUstering Based Efficient kNN Regression / |r Harshit Dubey, Vikram Pudi -- |t AREM: A Novel Associative Regression Model Based on EM Algorithm / |r Zhonghua Jiang, George Karypis. |
505 | 8 | 0 | |t One-Class Transfer Learning with Uncertain Data / |r Bo Liu, Philip S. Yu, Yanshan Xiao -- |t Time Series Forecasting Using Distribution Enhanced Linear Regression / |r Goce Ristanoski, Wei Liu, James Bailey -- |t Twin Bridge Transfer Learning for Sparse Collaborative Filtering / |r Jiangfeng Shi, Mingsheng Long, Qiang Liu -- |t Dimensionality Reduction with Dimension Selection / |r Yi Guo, Junbin Gao, Feng Li -- |t Multi-View Visual Classification via a Mixed-Norm Regularizer / |r Xiaofeng Zhu, Zi Huang, Xindong Wu -- |t Mining Specific Features for Acquiring User Information Needs / |r Abdulmohsen Algarni, Yuefeng Li -- |t Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning / |r Pengyi Yang, Wei Liu, Bing B. Zhou -- |t Exploring Groups from Heterogeneous Data via Sparse Learning / |r Huawen Liu [and others] -- |t Multiplex Topic Models / |r Juan Yang, Jia Zeng, William K. Cheung -- |t Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network / |r Ran Wang, Chuan Shi, Philip S. Yu -- |t Learning from Multiple Observers with Unknown Expertise / |r Han Xiao, Huang Xiao, Claudia Eckert. |
500 | |a International conference proceedings. | ||
500 | |a Includes author index. | ||
520 | |a The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation. | ||
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700 | 1 | |a Pei, Jian. |0 http://id.loc.gov/authorities/names/nr94005004 |1 http://isni.org/isni/0000000064359152. | |
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