ICDM 2011 Program Overview

Please note the overview is a draft only and is subject to change without notice.

For a list of accepted papers please click here.

Download the Program Overview

December 11

Workshops
PhD Forum

8:30 DaMNET, SENTIRE, OEDM, DDDM, MMIS, PADM, BioDM, HaCDAIS
DMCS, LEMIR, LSVA, SSTDM, DPM
PhD forum
10:00 Coffee break
10:30 DaMNET, SENTIRE, OEDM, DDDM, MMIS, PADM, BioDM, HaCDAIS
DMCS, LEMIR, LSVA, SSTDM, DPM

PhD forum
12:30 Lunch (not provided)
14:00 DaMNET, SENTIRE, OEDM, DDDM, MMIS, PADM, BioDM, HaCDAIS
KDCloud, DMCCI, ClimKD, DMS, ContrastDM, COMMPER
16:00 Coffee break
16:30 DaMNET, SENTIRE, OEDM, DDDM, MMIS, PADM, BioDM
KDCloud, DMCCI, ClimKD, DMS, ContrastDM, COMMPER

December 12

8:30 Opening
8:40 Keynote by Renee Miller
9:50 Coffee break
10:10 S1A Graph mining S1B Features S1C Frequent patterns Tutorial T1 (part 1)
12:10 Lunch (not provided)
13:30 S2A Graphs S2B Similarity and distribution S2C Sequences and patterns Tutorial T1 (part 2) Demos & Exhibits
14:30 Tutorial T2 (part 1)
15:30 Coffee break
15:45 S3A Groups, influences, and time S3B Learning S3C Time series and sequences Tutorial T2 (part 2) Demos & Exhibits
17:45 Reception

December 13

8:30 Keynote by Lee Giles
9:45 Coffee break
10:00 S4A Topic analysis and text S4B Machine learning and applications S4C Video, images, and bioinformatics Panel: Data mining meets exascale and many-core computing
12:00 Lunch (not provided)
14:00 Excursion tour
18:00 Banquet

December 14

8:30 Keynote by Cynthia Dwork
9:45 Coffee Break
10:00 S5A Intrusion and anomaly detection S5B Classification S5C Patterns and applications Tutorial T3 (part 1)
12:00 Community Meeting (with lunch, open to all ICDM '11 participants)
13:30 S6A Communities and privacy S6B Clustering S6C Reduction, summarization and simplification Tutorial T3 (part 2)
14:30 Tutorial T4 (part 1)
15:30 Coffee break
15:45 S7A Recommendation S7B Semi-supervised learning S7C Matrix, tensor, and sparse representation Tutorial T4 (part 2)

Sessions

S1A : Graph Mining

Session Chair: James Bailey

DM225
Regular
Beyond `Caveman Communities': Hubs and Spokes for Graph Compression and MiningU Kang and Christos Faloutsos
DM385
Regular
An In-Depth Study of Stochastic Kronecker GraphsC. Seshadhri, Ali Pinar, and Tamara Kolda
DM505
Regular
Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph MiningPranay Anchuri, Mohammed Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan, and Arik Sityon
DM610
Regular
Fast and Robust Graph-based Transductive Learning via Minimum Tree CutYan-Ming Zhang, Kaizhu Huang, and Cheng-Lin Liu
DM951
Regular
Mining Heavy Subgraphs in Time-Evolving NetworksPetko Bogdanov, Misael Mongiovi, and Ambuj K. Singh
DM298
Short
Scalable Diversified Ranking on GraphsRonghua Li and Jeffrey Xu Yu
DM288
Short
Entropy-Based Graph Mining: Application to Biological and Social NetworksYoung-Rae Cho and Edward Casey Kenley

S1B : Features

Session Chair: Larry Hall

DM660
Regular
Random Forest Based Feature InductionCeline Vens and Fabrizio Costa
DM877
Regular
Structured Feature Selection and Task Relationship Inference for Multi-Task LearningHongliang Fei and Jun Huan
DM903
Regular
Feature Selection via $\ell_{2,1}$-Norm Support Vector MachineXiao Cai, Feiping Nie, Heng Huang, and Chris Ding
DM923
Regular
An Efficient Greedy Method for Unsupervised Feature SelectionAhmed Farahat, Ali Ghodsi, and Mohamed S. Kamel
DM896
Regular
Partitionable kernels for mapping kernelsKilho Shin
DM361
Short
Optimizing Performance Measures for Feature SelectionQI MAO and Ivor Wai Hung TSANG
DM808
Short
Calculating Feature Weights in Naive Bayes with Kullback-Leibler MeasureChang-Hwan Lee, Fernando Gutierrez, and Dejing Dou

S1C : Frequent Patterns

Session Chair: Bart Goethals

DM400
Regular
Causal Associative ClassificationKui Yu, Xindong Wu, Wei Ding, and Hao Wang
DM865
Regular
Efficient Mining of a Concise and Lossless Representation of High Utility ItemsetsCheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, and Vincent S. Tseng
DM559
Regular
CEMiner - An Efficient Algorithm for Mining Closed Patterns from Interval-based DataYi-Cheng Chen, Wen-Chih Peng, and Suh-Yin Lee
DM613
Regular
Interesting Multi-Relational PatternsEirini Spyropoulou and Tijl De Bie
DM638
Regular
Finding Robust Itemsets under SubsamplingNikolaj Tatti and Fabian Moerchen
DM427
Short
Efficient Incremental Mining of Closed Sequential Patterns and its Application in Query Completion over Structural DataChuancong Gao, Jianyong Wang, and Qingyan Yang
DM928
Short
Using frequent closed itemsets for data dimensionality reductionPetr Krajca, Jan Outrata, and Vilem Vychodil

S2A : Graphs

Session Chair: Hong Cheng

DM325
Regular
Tag Refinement on Semantic Unity GraphYueting Zhuang, Yang Liu, Yin Zhang, Jian Shao, and Fei Wu
DM407
Regular
D-cores: measuring cohesion and collaboration of directed graphsChristos Giatsidis, Michalis Vazirgiannis, and Dimitrios Thilikos
DM765
Regular
Threshold Conditions for Arbitrary Cascade Models on Arbitrary NetworksB. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, and Christos Faloutsos
DM544
Regular
BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage StructureXiaoran Xu and Zhi-Hong Deng
DM991
Regular
Algorithms for Mining the Evolution of Conserved Relational States in Dynamic NetworksRezwan Ahmed and George Karypis
DM324
Short
A Study of Laplacian Spectra of Graph for Subgraph QueriesLei Zhu and Qinbao Song
DM913
Short
DIGRank: Using Global Degree to Facilitate Ranking in an Incomplete GraphXiang Niu, Lusong Li, Xiaobing Xiong, Daniel Tkach, He Li, and Ke Xu

S2B : Similarity and Distribution

Session Chair: Zhi-Hua Zhou

DM345
Regular
Multi-Instance Metric LearningYe Xu and Wei Ping
DM437
Regular
Sparse Domain Adaptation in Projection Spaces based on Good Similarity FunctionsEmilie Morvant, Amaury Habrard, and Stéphane Ayache
DM232
Regular
Density Estimation based on MassKai Ming Ting, Takashi Washio, Jonathan Wells, and Tony Liu
DM895
Regular
Word Cloud Model for Text CategorizationTam T. Nguyen, Kuiyu Chang, and Siu Cheung Hui
DM592
Regular
Learning Dirichlet Processes from Partially Observed GroupsAvinava Dubey, Indrajit Bhattacharya, Mrinal Das, Tanveer Faruquie, and Chiranjib Bhattacharyya
DM391
Short
Modeling High-Level Behavior Patterns for Precise Similarity Analysis of SoftwareTaeho Kwon and Zhendong Su
DM907
Short
Mixture of softmax sLDAXiaoXu Li

S2C : Sequences and Patterns

Session Chair: Aris Gkoulalas-Divanis

DM220
Regular
Role-behavior Analysis from Trajectory Data by Cross-domain LearningShin Ando and Einoshin Suzuki
DM304
Regular
A Taxi Driving Fraud Detection SystemYong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou
DM509
Regular
Finding Novel Diagnostic Gene Patterns based on Interesting Non-redundant Contrast Sequence RulesYuhai Zhao and Guoren Wang
DM617
Regular
Efficiently Mining Unordered TreesMostafa Haghir Chehreghani
DM318
Regular
A Generalized Fast Subset Sums Framework for Bayesian Event DetectionKan Shao, Yandong Liu, and Daniel Neill
DM539
Short
Online Multi-Task Learning for Personalized Continuous Activity RecognitionXu Sun, Hisashi Kashima, Ryota Tomioka, and Naonori Ueda
DM531
Short
Helix: Unsupervised Grammar Induction for Structured Human Activity RecognitionHuan-Kai Peng, Pang Wu, Jiang Zhu, and Ying Zhang

S3A : Groups, Influences, and Time

Session Chair: Dejing Dou

DM636
Regular
Exploiting False Discoveries – Statistical Validation of Patterns and Quality Measures in Subgroup DiscoveryWouter Duivesteijn and Arno Knobbe
DM675
Regular
Local Models for Expectation-Driven Subgroup DiscoveryFlorian Lemmerich and Frank Puppe
DM734
Regular
SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold ModelAmit Goyal, Wei Lu, and Laks Lakshmanan
DM859
Regular
Minimizing Seed Set for Viral MarketingLong Cheng and Raymond Chi-Wing WONG
DM590
Short
Discovering Emerging Topics in Social Streams via Link Anomaly DetectionToshimitsu Takahashi, Ryota Tomioka, and Kenji Yamanishi
DM965
Short
Characterizing Inverse Time Dependency in Multi-class LearningDanqi Chen, Weizhu Chen, and Qiang Yang
DM763
Short
Discovery of Versatile Temporal Subspace Patterns in 3-D DatasetsZhen Hu and Raj Bhatnagar

S3B : Learning

Session Chair: Wei Ding

DM905
Regular
Simple Multiple Noisy Label Utilization StrategiesVictor Sheng
DM880
Regular
Clusterability Analysis and Incremental Sampling for Nystrom Extension Based Spectral ClusteringXianchao Zhang and Quanzeng You
DM817
Regular
Multi-Task Learning with Task RelationsZhao Xu and Kristian Kersting
DM875
Regular
Understanding Propagation Error and Its Effect on Collective ClassificationRongjing Xiang and Jennifer Neville
DM949
Regular
Learning classification with auxiliary probabilistic informationQuang Nguyen, Hamed Valizadegan, and Milos Hauskrecht
DM341
Short
Manifold Learning and Missing Data Recovery through Unsupervised RegressionMiguel Carreira-Perpinan and Zhengdong Lu
DM953
Short
Co-clustering for Binary and categorical data with maximum ModularityLazhar Labiod and Mohamed Nadif

S3C : Time Series and Sequences

Session Chair: Kai-Ming Ting

DM239
Regular
Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time SeriesZhenxing Wang and Laiwan Chan
DM456
Regular
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some DataThanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans
DM793
Regular
Recursive multi-step time series forecasting by perturbing dataSouhaib Ben Taieb and Gianluca Bontempi
DM919
Regular
Enabling Fast Lazy Learning for Data StreamsPeng Zhang, Byron Gao, Xingquan Zhu, and Li Guo
DM396
Regular
A New Markov Model for Clustering Categorical SequencesTengke Xiong, Shengrui Wang, Qingshan Jiang, and Joshua Zhexue Huang
DM383
Short
Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDLBing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh
DM608
Short
SPO: Structure Preserving Oversampling for Imbalanced Time Series ClassificationHong Cao, Xiao-Li Li, Yew-Kwong Woon, and See-Kiong Ng

S4A : Topic Analysis and Text

Session Chair: Kyuseok Shim

DM264
Regular
LPTA: A Probabilistic Model for Latent Periodic Topic AnalysisZhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang
DM399
Regular
Generating Breakpoint-based Timeline Overview for News Topic RetrospectionPo Hu, Minlie Huang, Peng Xu, Weichang Li, Adam Usadi, and Xiaoyan Zhu
DM501
Regular
SolarMap: Multifaceted Visual Analytics for Topic ExplorationJimeng Sun, Nan Cao, David Gotz, Yu-Ru Lin, and Huamin Qu
DM648
Regular
Analysis of Textual Variation by Latent Tree StructuresTeemu Roos and Yuan Zou
DM555
Short
Text Clustering via Constrained Nonnegative Matrix FactorizationYan Zhu, Liping Jing, and Jian Yu
DM394
Short
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet ProcessesZekai Gao, Yangqiu Song, Shixia Liu, and Haixun Wang
DM520
Short
Cross-temporal Link PredictionSatoshi Oyama, Kohei Hayashi, and Hisashi Kashima
DM917
Short
Supervised Lazy RandomWalk for Topic-Focused Multi-Document SummarizationPan Du, Jiafeng Guo, and Xue-Qi Cheng

S4B : Machine Learning and Applications

Session Chair: Aparna S. Varde

DM484
Regular
COMET: A Recipe for Learning and Using Large Ensembles on Massive DataJustin Basilico, Arthur Munson, Tamara Kolda, Kevin Dixon, and Philip Kegelmeyer
DM732
Regular
Confidence in Predictions from Random Tree EnsemblesSiddhartha Bhattacharyya
DM682
Regular
Ranking Web-based Partial Orders by Significance Using a Markov Reference ModelMichel Speiser, Gianluca Antonini, and Abderrahim Labbi
DM744
Regular
Class Imbalance, ReduxByron Wallace, Kevin Small, Carla E. Brodley, and Thomas Trikalinos
DM751
Regular
Learning Markov Logic Networks via Functional Gradient BoostingTushar Khot, Sriraam Natarajan, Kristian Kersting, and Jude Shavlik
DM768
Short
Learning from Negative Examples in Set-ExpansionPrateek Jindal and Dan Roth
DM980
Short
Low Rank Metric Learning with Manifold RegularizationGuoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu

S4C : Video, Images, and Bioinformatics

Session Chair: Guozhu Dong

DM461
Regular
Mining Historical Archives for Near-Duplicate FiguresThanawin Rakthanmanon, Qiang Zhu, and Eamonn Keogh
DM644
Regular
Combining feature context and spatial context for image data miningHongxing Wang, Junsong Yuan, and Yap-Peng Tan
DM897
Regular
Improving Product Classification Using ImagesAnitha Kannan, Partha Talukdar, Nikhil Rasiwasia, and Qifa Ke
DM773
Regular
Learning Tags from Unsegmented Videos of Multiple Human ActionsTimothy Hospedales, Shaogang Gong, and Tao Xiang
DM395
Short
Learning Protein Folding Energy FunctionsWei Guan, Arkadas Ozakin, Alexander Gray, Jose Borreguero, Shashi Pandit, and Jeffrey Skolnick
DM428
Short
Web Horror Image Recognition Based on Context-Aware Multi-Instance LearningBing Li, Weihua Xiong, and weiming Hu
DM785
Short
Identifying Differentially-Expressed Genes via Weighted Rank AggregationQiong Fang, Jianlin Feng, and Wilfred Ng
DM642
Short
Discovering Thematic Patterns in Videos via Cohesive Sub-graph MiningGangqiang Zhao and Junsong Yuan

S5A : Intrusion and Anomaly Detection

Session Chair: Charles Perng

DM412
Regular
Detection of Cross-Channel Anomalies From Multiple Data ChannelsDuc-Son Pham, Saha Budhaditya, Dinh Phung, and Svetha Venkatesh
DM475
Regular
Direct Robust Matrix Factorization for Anomaly DetectionLiang Xiong, Xi Chen, and Jeff Schneider
DM485
Regular
Conditional Anomaly Detection with Soft Harmonic FunctionsMichal Valko, Branislav Kveton, Hamed Valizadegan, Gregory Cooper, and Milos Hauskrecht
DM535
Regular
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor NetworksMasud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James Bezdek, Sutharshan Rajasegarar, and Marimuthu Palaniswami
DM510
Short
Identities Anonymization in Dynamic Social NetworksChih-Hua Tai Tai, Peng-Jui Tseng, Philip S. Yu, and Ming-Syan Chen
DM781
Short
Review Graph based Online Store Review Spammer DetectionGuan Wang, Sihong Xie, Bing Liu, and Philip S. Yu
DM503
Short
Unsupervised Anomaly Intrusion Detection Via Localized Bayesian Feature SelectionWenato Fan, Nizar Bouguila, and Djemel Ziou
DM300
Short
A Spectral Framework for Detecting Inconsistency across Multi-Source Object RelationshipsJing Gao, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, and Jiawei Han

S5B : Classification

Session Chair: Rosa Meo

DM389
Regular
Towards Optimal Discriminating Order for Multiclass ClassificationDong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, and Hong-Jiang Zhang
DM565
Regular
On Generating all Optimal Monotone ClassificationsLuite Stegeman and Ad Feelders
DM594
Regular
Healing Sample Selection Bias by Source Classifier SelectionChun Wei Seah, Ivor Wai Hung TSANG, and Yew-Soon Ong
DM690
Regular
Positive and Unlabeled Learning for Graph ClassificationYuchen Zhao, Xiangnan Kong, and Philip S. Yu
DM798
Regular
An Analysis of Performance Measures for Binary ClassifiersCharles Parker
DM354
Short
Classifying Categorical Data by Rule-based NeighborsJiabing Wang, Pei Zhang, Guihua Wen, and Jia Wei
DM307
Short
Twin Gaussian Processes for Binary ClassificationJianjun He, Hong Gu, and Zhelong Wang

S5C : Patterns and Applications

Session Chair: Jian Huang

DM713
Regular
Signature Pattern Covering via Local Greedy Algorithm and Pattern ShrinkHyungsul Kim, David Sheridan, Sungjin Im, Shobha Vasudevan, Tarek Abdelzaher, and Jiawei Han
DM813
Regular
Diverse Dimension Decomposition of an Itemsets SpaceMikalai Tsytsarau, Themis Palpanas, Francesco Bonchi, and Aristides Gionis
DM409
Regular
Mining Dominant Patterns in the SkyArnaud Soulet, Chedy Raïssi, Marc Plantevit, and Bruno Crémilleux
DM914
Regular
A Hypergraph-based Method for Discovering Semantically Associated ItemsetsHaishan Liu, Paea LePendu, Ruoming Jin, and Dejing Dou
DM684
Regular
Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine LogSiyu Gu, Jun Yan, and Shuicheng Yan
DM526
Regular
ADANA: Actively Disambiguating Person Names with User InteractionXuezhi Wang, Jie Tang, Hong Cheng, and Philip S. Yu

S6A : Communities and Privacy

Session Chair: Tanya Berger-Wolf

DM252
Regular
Detecting Community Kernels in Large Social NetworksLiaoruo Wang, Tiancheng Lou, Jie Tang, and John Hopcroft
DM237
Regular
Inferring the Diffusion and Evolution of Topics in Social CommunitiesXide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky
DM349
Regular
LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link PredictionPrakash Mandayam Comar, Pang-Ning Tan, and Anil Jain
DM322
Regular
Privacy Risk In Graph Stream Publishing For Social Network ApplicationsNigel Medforth and Ke Wang
DM616
Regular
Secure Clustering in Private NetworksBin Yang, Issei Sato, and Hiroshi Nakagawa
DM930
Short
Finding Communities in Dynamic Social NetworksChayant Tantipathananandh and Tanya Berger-Wolf
DM247
Short
On the Hardness of Graph AnonymizationCharu Aggarwal, Yao Li, and Philip S. Yu

S6B : Clustering

Session Chair: Latifur R. Khan

DM211
Regular
NonnegativeMatrix Tri-Factorization Based Simultaneous Clustering of Large-Scale Multi-Type Related DataHua Wang, Feiping Nie, Heng Huang, and Chris Ding
DM833
Regular
A Robust Clustering Algorithm Based on Aggregated Heat Kernel MappingHao Huang, Shinjae Yoo, Hong Qin, and Dantong Yu
DM472
Regular
Flexible Fault Tolerant Subspace ClusteringStephan Günnemann, Emmanuel Müller, Sebastian Raubach, and Thomas Seidl
DM601
Regular
Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional DataJunming Shao, Claudia Plant, Qinli Yang, and Christian Boehm
DM654
Regular
Overlapping Correlation ClusteringFrancesco Bonchi, Aristides Gionis, and Antti Ukkonen
DM495
Short
Clustering with Attribute-Level ConstraintsJana Schmidt, Elisabeth Braendle, and Stefan Kramer
DM534
Short
A Fast and Flexible Clustering Algorithm Using Binary DiscretizationMahito Sugiyama and Akihiro Yamamoto

S6C : Reduction, Summarization, and Simplification

Session Chair: Raymond C-W Wong

DM246
Regular
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-controlled AccuracyYe Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, C.S. Chang, Jackie Chen, Stephane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert Ross, Karen Schuchardt, Nagiza F. Samatova
DM693
Regular
Handling Conditional DiscriminationIndre Zliobaite, Faisal Kamiran, and Toon Calders
DM741
Regular
Learning to Rank for Query-focused Multi-Document SummarizationChao Shen and Tao Li
DM752
Regular
Heuristic Updatable Weighted Random Subspaces for Nonstationary EnvironmentsThomas Hoens, Robi Polikar, and Nitesh Chawla
DM802
Regular
Maximum Entropy Modelling for Assessing Results on Real-Valued DataKleanthis-Nikolaos Kontonasios, Jilles Vreeken, and Tijl De Bie
DM696
Short
Distance Preserving Graph SimplificationNing Ruan, Ruoming Jin, and Yan Huang
DM853
Short
How Does Research Evolve? Pattern Mining for Research Meme CyclesDan He, Xingquan Zhu, and Douglas Parker

S7A : Recommendation

Session Chair: Ankur Teredesai

DM231
Regular
Personalized Travel Package RecommendationQi Liu, Yong Ge, Zhongmou Li, EnHong Chen, and Hui Xiong
DM266
Regular
Novel Recommendation based on Personal Popularity TendencyJinoh Oh, Sun Park, Hwanjo Yu, Min Song, and Seung-Taek Park
DM739
Regular
Patent Maintenance Recommendation with Patent Information Network ModelXin Jin, Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, and Jiawei Han
DM961
Regular
TWITOBI: A Recommendation System for Twitter using Probabilistic ModelingYounghoon Kim and Kyuseok Shim
DM998
Regular
SLIM: Sparse Linear Methods for Top-N Recommender SystemsXia Ning and George Karypis
DM523
Short
Detecting Recurring and Novel Classes in Concept-Drifting Data StreamsMohammad Masud, Tahseen Al-Khateeb, Latifur Khan, Charu Aggarwal, Jing Gao, and Jiawei Han
DM506
Short
ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand ProvisioningYexi Jiang, Chang-shing Perng, Tao Li, and Rong Chang

S7B : Semi-supervised Learning

Session Chair: Ke Wang

DM721
Regular
Semi-supervised Hierarchical ClusteringLi Zheng and Tao Li
DM656
Regular
Learning Spectral Embedding for Semi-supervised ClusteringFanhua Shang, L.C. Jiao, YuanYuan Liu, and Fei Wang
DM667
Regular
Semi-Supervised Feature Importance Evaluation with Ensemble LearningBarkia Hasna, Elghazel Haytham, and Aussem Alex
DM729
Regular
Learning with Minimum Supervision: A General Framework for Transductive Transfer LearningMohammad Taha Bahadori, Yan Liu, and Dan Zhang
DM849
Regular
Isograph: Neighbourhood Graph Construction Based On Geodesic Distance For Semi-Supervised LearningMarjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, and Mohammad Hossein Rohban
DM525
Short
Semi-Supervised Discriminant HashingSaehoon Kim and Seungjin Choi
DM647
Short
Constraint selection based semi-supervised feature selectionMohammed Hindawi, Kais Allab, and Khalid Benabdeslem

S7C : Matrix, Tensor, and Sparse Representation

Session Chair: Siegfried Nijssen

DM449
Regular
Multi-Task Learning for Bayesian Matrix FactorizationChao Yuan
DM519
Regular
Document Clustering via Matrix RepresentationXufei Wang, Jiliang Tang, and Huan Liu
DM622
Regular
Boolean Tensor FactorizationsPauli Miettinen
DM521
Regular
Context-Aware Multi-Instance Learning based on Hierarchical Sparse RepresentationBing Li, Weihua Xiong, and Weiming Hu
DM317
Short
Tensor Fold-in Algorithms for Social Tagging PredictionMiao Zhang and Chris Ding
DM614
Short
A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving SubmatrixJens Humrich, Thomas Gärtner, and Gemma Garriga

Banner image courtesy of Tourism Vancouver. All website related inquires should be directed to fagnan@ualberta.ca.