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Publication search results
found 50 matches
- 2013
- Abdulmohsen Algarni, Yuefeng Li:
Mining Specific Features for Acquiring User Information Needs. PAKDD (1) 2013: 532-543 - Sunil Aryal, Kai Ming Ting:
MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation. PAKDD (1) 2013: 136-148 - Steven Burrows, Jörg Frochte, Michael Völske, Ana Belén Martínez Torres, Benno Stein:
Learning Overlap Optimization for Domain Decomposition Methods. PAKDD (1) 2013: 438-449 - Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng, Wang-Chien Lee:
Mining Appliance Usage Patterns in Smart Home Environment. PAKDD (1) 2013: 99-110 - Lianhua Chi, Bin Li, Xingquan Zhu:
Fast Graph Stream Classification Using Discriminative Clique Hashing. PAKDD (1) 2013: 225-236 - Han-Cheol Cho, Naoaki Okazaki, Kentaro Inui:
Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition. PAKDD (1) 2013: 378-389 - 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. PAKDD (1) 2013: 414-425 - Boris Cule, Bart Goethals, Tayena Hendrickx:
Mining Interesting Itemsets in Graph Datasets. PAKDD (1) 2013: 237-248 - Harshit Dubey, Vikram Pudi:
CLUEKR : CLUstering Based Efficient kNN Regression. PAKDD (1) 2013: 450-458 - 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. PAKDD (1) 2013: 38-49 - Antonio Gomariz, Manuel Campos, Roque Marín, Bart Goethals:
ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences. PAKDD (1) 2013: 50-61 - Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl:
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD (1) 2013: 261-275 - Yi Guo, Junbin Gao, Feng Li:
Dimensionality Reduction with Dimension Selection. PAKDD (1) 2013: 508-519 - Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire:
Mining Representative Movement Patterns through Compression. PAKDD (1) 2013: 314-326 - Hooman Homayounfard, Paul J. Kennedy, Robin Braun:
NARGES: Prediction Model for Informed Routing in a Communications Network. PAKDD (1) 2013: 327-338 - Po Hu, Yujing Guo, Dong-Hong Ji, Jiacong He:
Leveraging Hybrid Citation Context for Impact Summarization. PAKDD (1) 2013: 354-365 - Zhonghua Jiang, George Karypis:
AREM: A Novel Associative Regression Model Based on EM Algorithm. PAKDD (1) 2013: 459-470 - Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe:
Discovering Local Subgroups, with an Application to Fraud Detection. PAKDD (1) 2013: 1-12 - Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos:
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. PAKDD (1) 2013: 201-212 - Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer:
PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data. PAKDD (1) 2013: 13-25 - Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu:
Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. PAKDD (1) 2013: 62-73 - Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu:
Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction. PAKDD (1) 2013: 339-353 - Huawen Liu, Jiuyong Li, Lin Liu, Jixue Liu, Ivan Lee, Jianmin Zhao:
Exploring Groups from Heterogeneous Data via Sparse Learning. PAKDD (1) 2013: 556-567 - Bo Liu, Philip S. Yu, Yanshan Xiao, Zhifeng Hao:
One-Class Transfer Learning with Uncertain Data. PAKDD (1) 2013: 471-483 - Raghvendra Mall, Johan A. K. Suykens:
Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data. PAKDD (1) 2013: 161-173 - Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos:
F-Trail: Finding Patterns in Taxi Trajectories. PAKDD (1) 2013: 86-98 - Phuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma:
EEG-Based Person Verification Using Multi-Sphere SVDD and UBM. PAKDD (1) 2013: 289-300 - Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. PAKDD (1) 2013: 123-135 - Eileen A. Ni, Da Kuang, Charles X. Ling:
Decisive Supervised Learning. PAKDD (1) 2013: 426-437 - Claude Pasquier, Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher:
Frequent Pattern Mining in Attributed Trees. PAKDD (1) 2013: 26-37
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