Saturday, November 14
Workshop & PhD Forum Day
| 8:30am |
Full-day Workshops |
Morning Workshops |
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| 9:00am | The 2015 IEEE ICDM Workshop on Data Mining for Services Traymore A |
Event Analytics using Social Media Data (EASM) Longwood |
PhD ForumMorning Sessions
9:00am - 12:30pm Bally Room
Schedule
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| The 3rd International Workshop on Data Science and Big Data Analytics Blenheim |
SoMeRA 2015: 2nd International Workshop on Social Media Retrieval and Analysis Imperial |
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| Designing Safe and Secure Life on the Market of Data (MoDAT): Exchanging and Integrating Data via Insightful Communications Traymore B |
IEEE International Workshop on Environmental Acoustic Data Mining(EADM) Berkshire |
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| 10:00am Coffee Break |
MobileDM & HuMoComp 2015 Marlborough AB |
The 2015 IEEE ICDM Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH) Versailles |
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| 10:15am | The 2015 IEEE ICDM Workshop on Intelligence and Security Informatics Marlborough C |
Mobility Analytics from Spatial and Social Data (MASS) 2015 Monticello |
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| The 6th Workshop on Biological Data Mining and Its Applications in Healthcare Dennis C |
The Second Representation Learning for Semantic Data (ReLSD 201) Workshop Fairmount |
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| The Fifth IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2015) Shelburne |
The IEEE ICDM Workshop on Big Media Data 2015 Central |
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| 2015 International Workshop on Information Analysis and Data Mining Over Social Network (DMSN-ICDM 2015) Dennis AB |
The 2015 IEEE ICDM Workshop on Data Mining for Educational Assessment and Feedback Lincoln |
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| The 10th International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-15) Tivoli |
ICDM 2015 Workshop on Practical Transfer Learning 2015 Arturo’s restaurant |
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| 12:30pm |
Lunch Time
12:30pm - 2:00pm |
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| 2:00pm |
Full-Day Workshops (continue) |
Afternoon Workshops |
PhD ForumAfternoon Sessions
2:00pm - 5:00pm Bally Room
Schedule
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| The 2015 IEEE ICDM Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) Longwood |
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| Data Integration and Applications Imperial |
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| The 2015 IEEE ICDM Workshop on Data Mining for Smart Cities Berkshire |
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| 3:45pm Coffee Break |
ICDM 2015 Workshop on Optimization Based Techniques for Emerging Data Mining Versailles |
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| 4:00pm | The 3rd International Workshop on High Dimensional Data Mining (HDM'15) Monticello |
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| The 2015 IEEE ICDM Workshop on Social Multimedia Data Mining Fairmount |
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| BEAMS 15: Behavior Analysis, Modeling, and Steering Central |
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| The 2015 IEEE ICDM Workshop on Data Mining Meets Visual Analytics at Big Data Era (DAVA 2015) Lincoln |
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| Interdisciplinary Workshop on Big Data Arturo’s restaurant |
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| 6:00pm | |||
Sunday, November 15 - Tuesday, November 17
Main Conference
Sunday, November 15
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8:30am
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Opening
8:30am - 9:00am |
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| 9:00am |
KEYNOTE 1: Robert F. Engle "Dynamic Conditional Beta and Global Financial Instability" 9:00am - 10:15am (Ocean) Chair: Alexander Tuzhilin |
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10:15am
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Coffee Break
10:15am - 10:30am |
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| 10:30am |
Session 1A
10:30am - 12:30pm Berkshire/Tivoli
Deep Learning and Representation Learning
Chair: Wei Ding |
Session 1B
10:30am - 12:30pm Park Ballroom
Applications 1
Chair: Chuanren Liu |
Session 1C
10:30am - 12:30pm Marlborough AB
Recommendation
Chair: Vincent Tseng |
Session 1D
10:30am - 2:00pm Marlborough C
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| 12:30pm |
Lunch Time
12:30pm - 2:00pm |
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| 2:00pm |
KEYNOTE 2: Michael I. Jordan "On Computational Thinking, Inferential Thinking and Big Data" 2:00pm - 3:15pm (Ocean) Chair: Zhi-Hua Zhou |
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3:15pm
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Coffee Break
3:15pm-3:30pm |
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| 3:30pm |
Session 2A
3:30pm - 4:40pm Berkshire/Tivoli
Big data 1
Best Paper Chair: Yang Yu |
Session 2B
3:30pm - 4:40pm Park Ballroom
Clustering 1
Chair: Larry Hall |
Session 2C
3:30pm - 4:40pm Marlborough AB
Mining social networks 1 Best Student Paper
Chair: Keli Xiao |
Session 2D 3D
3:30pm - 6:30pm Marlborough C
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4:40pm
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| 4:50pm |
Session 3A
4:50pm - 6:00pm Berkshire/Tivoli
Big data 2
Chair: Luiza Antonie |
Session 3B
4:50pm - 6:00pm Park Ballroom
Clustering 2
Chair: Jean-Charles Lamirel |
Session 3C
4:50pm - 6:00pm Marlborough AB
Mining social networks 2
Chair: Feng Chen |
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6:00pm
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6:30pm
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7:00pm
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8:00pm
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Monday, November 16
| 9:00am |
Session 4A
9:00am - 10:15am Berkshire/Tivoli
Spatio-temporal Mining
Chair: Wenjun Zhou |
Session 4B
9:00am - 10:15am Park Ballroom
Multi-label and Multi-task Learning
Chair: Jing Gao |
Session 4C
9:00am - 10:15am Marlborough AB
Dimension Reduction and Feature Selection
Chair: Pauli Miettinen |
Session 4D, 5D
9:00am - 12:30pm Marlborough C
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| 10:15am |
Coffee Break
10:15am - 10:30am |
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| 10:30am |
Session 5A
10:30am - 12:30pm Berkshire/Tivoli
Ensemble methods
Chair: Min-Ling Zhang |
Session 5B
10:30am - 12:30pm Park Ballroom
Applications 2
Chair: Xiaoli Li |
Session 5C
10:30am - 12:30pm Marlborough AB
Network mining 1
Chair: Hua Fang |
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12:15pm: Break
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| 12:30pm |
Lunch Time
12:30pm - 2:00pm |
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| 2:00pm |
Excursion
2:00pm - 7:00pm |
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7:00pm
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Banquet
7:00pm - 10:00pm (Ocean) |
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Tuesday, November 17
| 9:00am |
KEYNOTE 3: Lada Adamic "Information in Social Network" 9:00am - 10:15am (Ocean) Chair: Hui Xiong |
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10:15am
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Coffee Break
10:15am - 10:30am |
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| 10:30am |
Session 6A
10:30am - 12:30pm Berkshire/Tivoli
Collaborative Methods and Factorization
Chair: Hengshu Zhu |
Session 6B
10:30am - 12:30pm Park Ballroom
Graph Mining
Chair: Aditya Prakash |
Session 6C
10:30am - 12:30pm Marlborough AB
Mining Sequential Data
Chair: Xiaolin Li |
Session 6D
10:30am - 12:30pm Marlborough C
Industry Session
Chair: Ramendra Sahoo |
| 12:30pm |
ICDM Community Meeting
(Lunch will be provided) 12:30pm - 2:00pm |
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| 2:00pm |
Session 7A
2:00pm - 3:15pm Berkshire/Tivoli
Online and Incremental Learning
Chair: Qing He |
Session 7B
2:00pm - 3:15pm Park Ballroom
Mining Text and Unstructured Data
Chair: Sheng Gao |
Session 7C
2:00pm - 3:15pm Marlborough AB
Network Mining 2
Chair: Yizhou Sun |
Session 7D, 8D
2:00pm - 5:00pm Marlborough C
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3:15pm
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Coffee Break
3:15pm-3:30pm |
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| 3:30pm |
Session 8A
3:30pm - 5:00pm Berkshire/Tivoli
Classification
Chair: Yi Fang |
Session 8B
3:30pm - 5:00pm Park Ballroom
Semi-supervised and Active Learning
Chair: Ming Li |
Session 8C
3:30pm - 5:00pm Marlborough AB
Generative Models
Chair: Xiangnan Kong |
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5:00pm
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Panel 5:00pm - 6:00pm (Ocean) |
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6:00pm
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Closing
6:00pm - (Ocean) |
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Accepted Papers by Session
| Session ID | Session Name | Paper Type | Paper ID | Paper Title |
| 1A | Deep learning and representation learning | Regular | DM302 | Deep Convolutional Neural Networks for Multi-Instance Multi-Task Learning |
| Regular | DM706 | R^{2}FP: Rich and Robust Feature Pooling for Mining Visual Data | ||
| Regular | DM856 | SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning | ||
| Regular | DM893 | A Unified Gradient Regularization Family for Adversarial Examples | ||
| Regular | DM313 | Learning Label Specific Features for Multi-Label Classification | ||
| Short | DM707 | MMFE: Multitask Multiview Feature Embedding | ||
| 1B | Applications 1 | Regular | DM396 | Modeling Adoption and Usage of Competing Products |
| Short | DM951 | Towards Collusive Fraud Detection in Online Reviews | ||
| Regular | DM930 | Complementary Aspect-based Opinion Mining Across Asymmetric Collections | ||
| Short | DM385 | Freedom: Online Activity Recognition via Dictionary-based Sparse Representation of RFID Sensing Data | ||
| Short | DM415 | Sparse Hierarchical Tucker and its Application to Healthcare | ||
| Short | DM439 | A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems | ||
| Short | DM489 | Personalized Grade Prediction: A Data Mining Approach | ||
| Short | DM553 | CrowdTC:Crowdsourced Taxonomy Construction | ||
| Regular | DM703 | Mining Indecisiveness in Customer Behaviors | ||
| 1C | Recommendation | Regular | DM312 | Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations |
| Regular | DM318 | Point-of-Interest Recommender Systems: A Separate-Space Perspective | ||
| Regular | DM630 | KSTR: Keyword-aware Skyline Travel Route Recommendation | ||
| Short | DM470 | Learning User Preferences across Multiple Aspects for Merchant Recommendation | ||
| Regular | DM634 | Top-k Link Recommendation in Social Networks | ||
| Short | DM427 | Experience-aware Item Recommendation in Evolving Review Communities | ||
| Short | DM448 | Semantic-based Recommendation Across Heterogeneous Domains | ||
| Short | DM903 | Patent Citation Recommendation for Examiners | ||
| 2A | Big data 1 | Regular | DM403 | Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data |
| Regular | DM406 | Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis | ||
| Regular | DM860 | Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search Best Paper | ||
| Short | DM323 | Scalable Hypergraph Learning and Processing | ||
| 2B | Clustering 1 | Regular | DM360 | Multi-level Approximate Spectral Clustering |
| Regular | DM414 | Network Clustering via Maximizing Modularity: Approximation Algorithms and Theoretical Limits | ||
| Short | DM809 | Two-Step Heterogeneous Finite Mixture Model Clustering for Mining Healthcare Databases | ||
| Regular | DM570 | Convex Approximation to the Integral Mixture Models Using Step Functions | ||
| 2C | Mining social networks 1 | Regular | DM345 | From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics Best Student Paper |
| Regular | DM538 | Multiple Anonymized Social Networks Alignment | ||
| Regular | DM738 | Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market | ||
| Short | DM495 | Detecting Overlapping Communities from Local Spectral Subspaces | ||
| 3A | Big data 2 | Regular | DM1003 | Accelerating Exact Similarity Search on CPU-GPU Systems |
| Regular | DM251 | Online Model Evaluation in a Large-Scale Computational Advertising Platform | ||
| Short | DM435 | The Convergence Behavior of Naive Bayes on Large Sparse Datasets | ||
| Short | DM556 | From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding | ||
| Short | DM700 | Fast Matrix-vector Multiplications for Large-scale Logistic Regression on Shared-memory Systems | ||
| 3B | Clustering 2 | Regular | DM828 | Finding Multiple Stable Clusterings |
| Short | DM849 | A generative spatial clustering model for random data through spanning trees | ||
| Short | DM418 | Clustering with Partition Level Side Information | ||
| Short | DM569 | Geo-social Clustering of Places from Check-in Data | ||
| Regular | DM557 | Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment | ||
| 3C | Mining social networks 2 | Regular | DM942 | Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective |
| Regular | DM979 | Influential Sustainability on Social Networks | ||
| Regular | DM585 | Mining Multi-Aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation | ||
| Short | DM349 | Finding Time-Critical Responses for Information Seeking in Social Media | ||
| 4A | Spatio-temporal mining | Regular | DM601 | Inferring Waypoints without Time Information: Conditional Markov Entropy for Trajectory Segmentation |
| Short | DM564 | Rare Category Detection on Time-Evolving Graphs | ||
| Short | DM213 | Dissecting Regional Weather-Traffic Sensitivity throughout a City | ||
| Short | DM639 | Learning Career Mobility and Human Activity Patterns for Job Change Analysis | ||
| Short | DM970 | Outcomes Prediction via Time Intervals Related Patterns | ||
| Short | DM981 | Learning a Macroscopic Model of Cultural Dynamics | ||
| 4B | Multi-label and multi-task learning | Regular | DM506 | Discovery of College Students in Financial Hardship |
| Regular | DM692 | Parallel Multi-Task Learning | ||
| Regular | DM709 | Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning | ||
| Short | DM690 | A Graph-based Hybrid Framework for Modeling Complex Heterogeneity | ||
| 4C | Dimension reduction and feature selection | Regular | DM270 | Robust PCA via Nonconvex Rank Approximation |
| Short | DM308 | GS-Orthogonalization based ``Basis Feature" Selection from Word Co-occurrence Matrix | ||
| Short | DM750 | Simultaneous Semi-NMF and PCA for Clustering | ||
| Short | DM755 | Efficient Approximate Solutions to Mutual Information Based Global Feature Selection | ||
| Short | DM855 | Feature Selection with Integrated Relevance and Redundancy Optimization | ||
| Short | DM966 | Automated Feature Learning: Mining Unstructured Data for Useful Abstractions | ||
| 5A | Ensemble methods | Regular | DM386 | Localized Multiple Kernel Experimental Design |
| Short | DM367 | Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances | ||
| Regular | DM460 | Ensemble of Diverse Sparsifications for Link Prediction in Large-Scale Networks | ||
| Regular | DM677 | Weighted Spectral Cluster Ensemble | ||
| Regular | DM862 | Ensemble Kernel Mean Matching | ||
| Short | DM539 | A Multi-label Ensemble Method based on Minimum Ranking Margin Maximization | ||
| Short | DM589 | Differentially Private Random Forest with High Utility | ||
| 5B | Applications 2 | Short | DM895 | A Hierarchical Framework for Learning Climate Science Data and Forecasting Extreme Weather Events |
| Regular | DM842 | The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector | ||
| Short | DM562 | Population Synthesis via k-Nearest Neighbor Crossover Kernel | ||
| Short | DM786 | A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome | ||
| Short | DM810 | Station Site Optimization in Bike Sharing Systems | ||
| Short | DM1023 | Supervised Topic Models for Microblog Classification | ||
| Short | DM867 | Forensic-Style Analysis with Survival Trajectories | ||
| Short | DM913 | On Detecting Spammers from Product Reviews: A Hybrid Learning | ||
| Short | DM955 | Are you going to the party: depends, who else is coming? [Learning hidden group dynamics via conditional latent tree models] | ||
| Short | DM995 | Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic | ||
| 5C | Network mining 1 | Regular | DM578 | Information Source Detection via Maximum A Posteriori Estimation |
| Regular | DM678 | Community Detection Based on Structure and Content: A Content Propagation Perspective | ||
| Regular | DM708 | BrainQuest: Perception-Guided Brain Network Comparison | ||
| Short | DM683 | Absorbing random-walk centrality: Theory and algorithms | ||
| Short | DM759 | Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process | ||
| Short | DM310 | CNL: Collective Network Linkage across Heterogeneous Social Platforms | ||
| Short | DM235 | Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification | ||
| Short | DM299 | A General Suspiciousness Metric for Dense Blocks in Multimodal Data | ||
| Short | DM572 | On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control | ||
| 6A | Collaborative methods and factorization | Regular | DM274 | Content-Aware Collaborative Filtering for Location Recommendation based on Human Mobility Data |
| Regular | DM629 | Fast Low-Rank Matrix Learning with Nonconvex Regularization | ||
| Regular | DM757 | Modeling Emerging, Evolving and Fading Topics using Dynamic Soft Orthogonal NMF with Sparse Representation | ||
| Short | DM637 | Logdet Divergence Based Sparse Non-negative Matrix Factorization for Stable Representation | ||
| Short | DM676 | LambdaMF: Learning Nonsmooth Ranking Functions in Matrix Factorization Using Lambda | ||
| Short | DM803 | Nonparametric Poisson Factorization Machine | ||
| Short | DM813 | Task Assignment Optimization in Collaborative Crowdsourcing | ||
| Short | DM1021 | Variable Selection for Efficient Nonnegative Tensor Factorization | ||
| 6B | Graph mining | Regular | DM278 | Towards Frequent Subgraph Mining on Single Large Uncertain Graphs |
| Regular | DM328 | Top-k Reliability Search on Uncertain Graphs | ||
| Regular | DM608 | Knowing an Object by the Company It Keeps: A Domain-Agnostic Scheme for Similarity Discovery | ||
| Regular | DM659 | Automatic Taxonomy Extraction from Bipartite Graphs | ||
| Regular | DM978 | Efficient Graphlet Counting for Large Networks | ||
| Short | DM373 | Analysis of Spectral Space Properties of Directed Graphs using Matrix Perturbation Theory with Application in Graph Partition | ||
| Short | DM931 | Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression | ||
| 6C | Mining sequential data | Regular | DM242 | Predicting sports scoring dynamics with restoration and anti-persistence |
| Regular | DM901 | Time Series Segmentation to Discover Behavior Switching in Complex Physical Systems | ||
| Short | DM244 | DRN: Bringing Greedy Layer-wised Training into Time Dimension | ||
| Short | DM394 | Sequential Model-free Hyperparameter Tuning | ||
| Short | DM398 | The ABACOC Algorithm: a Novel Approach for Nonparametric Classification of Data Streams | ||
| Short | DM765 | Having a BLast: meta-learning and heterogeneous ensembles for data streams | ||
| Short | DM493 | A parameter-free approach for mining robust sequential classification rules | ||
| Short | DM733 | Collaborated Online Change-point Detection in Sparse Time Series for Online Advertising | ||
| Short | DM1009 | Towards Mining Trapezoidal Data Streams | ||
| 6D | Industry Session | Data Mining, a Pathway to Networking and Services Analytics Jiabin Zhao |
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| From Big Data to Intelligence: Industrial Data Mining Practices in Baidu Zhiyong Shen |
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| Enterprise Data, Financial Risk Models and Regulatory Compliance Challenges in Financial Services
Ramendra K. Sahoo |
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| How Advanced Analytics Can Empower Marketers to Accelerate Revenue Generation
Greg Forrest and March Liao |
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| The Enterprise Graph of China: Opportunities and Challenges
Chao Liu |
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| 7A | Online and incremental learning | Regular | DM633 | Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications |
| Regular | DM408 | Sparse Online Relative Similarity Learning | ||
| Regular | DM774 | Unobtrusive Sensing Incremental Social Contexts using Fuzzy Class Incremental Learning | ||
| Short | DM846 | Catching the head, tail, and everything in between: a streaming algorithm for the degree distribution | ||
| 7B | Mining text and unstructured data | Regular | DM551 | Domain-specific knowledge base enrichment using Wikipedia tables |
| Regular | DM717 | Jackknifing Documents and Additive Smoothing for Naive Bayes with Scarce Data | ||
| Regular | DM912 | Informative Prediction based on Ordinal Questionnaire Data | ||
| Short | DM835 | KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks | ||
| 7C | Network mining 2 | Regular | DM822 | Learning Predictive Substructures with Regularization for Network Data |
| Regular | DM833 | Monitoring Stealthy Diffusion | ||
| Regular | DM839 | Controlling Propagation at Group Scale on Networks | ||
| Short | DM721 | Hierachies in directed networks | ||
| 8A | Classification | Regular | DM452 | Collaborative Multi-Domain Sentiment Classification |
| Regular | DM941 | A Bayesian Hierarchical Model for Comparing Average F1 Scores | ||
| Short | DM331 | Theoretical and Empirical Criteria for the Edited Nearest Neighbour Classifier | ||
| Short | DM461 | Iterative Classification for Sanitizing Large-Scale Datasets | ||
| Short | DM595 | Learning Set Cardinality in Distance Nearest Neighbours | ||
| Short | DM907 | Quality Control for Crowdsourced Hierarchical Classification | ||
| Short | DM959 | Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances | ||
| 8B | Semi-supervised and active learning | Short | DM549 | Efficient Entity Resolution with Adaptive and Interactive Training Data Selection |
| Regular | DM388 | Beyond Query: Interactive User Intention Understanding | ||
| Regular | DM698 | Accurate Estimation of Generalization Performance for Active Learning | ||
| Short | DM521 | Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning | ||
| Regular | DM236 | An Aggressive Graph-based Selective Sampling Algorithm for Classification | ||
| Short | DM660 | Representation Learning via Semi-supervised Autoencoder for Multi-task Learning | ||
| 8C | Generative models | Regular | DM370 | Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process |
| Regular | DM663 | Exceptionally Monotone Models - the Rank Correlation Model Class for Exceptional Model Mining | ||
| Regular | DM351 | Generative Models for Mining Latent Aspects and Their Ratings from Short Reviews | ||
| Short | DM395 | Spatio-temporal Topic Models for Check-in Data | ||
| Short | DM732 | Transfer Learning via Relational Type Matching | ||
| Short | DM848 | Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients | ||