icdm 2014 论文列表2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. |
Automated Essay Evaluation Augmented with Semantic Coherence Measures.
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
Predicting the Geographical Origin of Music.
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization.
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression.
K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation.
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.
Learning from Label and Feature Heterogeneity.
Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping.
Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels.
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting.
Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards.
On Spectral Analysis of Signed and Dispute Graphs.
Exploring Social Influence on Location-Based Social Networks.
Scalable Multi-instance Learning.
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data.
Hashtag Graph Based Topic Model for Tweet Mining.
Stability-Based Stopping Criterion for Active Learning.
On Sparse Feature Attacks in Adversarial Learning.
High-Dimensional Data Stream Classification via Sparse Online Learning.
Metric Ranking of Invariant Networks with Belief Propagation.
Parallel Corpus Approach for Name Matching in Record Linkage.
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization.
Flow-Based Influence Graph Visual Summarization.
Robust Spectral Learning for Unsupervised Feature Selection.
A Parallel and Efficient Algorithm for Learning to Match.
Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization.
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective.
Data Fusion Using Restricted Boltzmann Machines.
Graph Summarization with Quality Guarantees.
Multi-label Classification with Meta-Labels.
Mutual Information Based Output Dimensionality Reduction.
A Gaussian Process Model for Knowledge Propagation in Web Ontologies.
Hierarchical Incident Ticket Classification with Minimal Supervision.
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations.
A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk.
Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.
Spotting Fake Reviews via Collective Positive-Unlabeled Learning.
Fast Algorithms for Frequent Itemset Mining from Uncertain Data.
Spectral Clustering for Medical Imaging.
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels.
Bus Travel Time Predictions Using Additive Models.
Latent Ranking Analysis Using Pairwise Comparisons.
Detecting Volatility Shift in Data Streams.
Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework.
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks.
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
Online Spectral Learning on a Graph with Bandit Feedback.
Heavyweight Pattern Mining in Attributed Flow Graphs.
Tensor Regression Based on Linked Multiway Parameter Analysis.
Ring-Shaped Hotspot Detection: A Summary of Results.
Emre Eftelioglu Shashi Shekhar Dev Oliver Xun Zhou Michael R. Evans Yiqun Xie James M. Kang Renee Laubscher Christopher Farah
Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM.
Topic Models with Topic Ordering Regularities for Topic Segmentation.
Shell Miner: Mining Organizational Phrases in Argumentative Texts in Social Media.
Senders, Receivers and Authors in Document Classification.
Learning to Grade Student Programs in a Massive Open Online Course.
Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting.
A Joint Model for Topic-Sentiment Evolution over Time.
Social Role Identification via Dual Uncertainty Minimization Regularization.
Mining Personal Health Index from Annual Geriatric Medical Examinations.
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models.
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery.
Stream Mining Using Statistical Relational Learning.
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs.
Graded Multilabel Classification by Pairwise Comparisons.
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data.
Janus - Analytics-Driven Transition Planner.
Check-in Location Prediction Using Wavelets and Conditional Random Fields.
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure.
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
Multi-touch Attribution in Online Advertising with Survival Theory.
Output Feature Augmented Lasso.
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction.
Towards Scalable and Accurate Online Feature Selection for Big Data.
Scalable SVM-Based Classification in Dynamic Graphs.
Continuous KNN Join Processing for Real-Time Recommendation.
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data.
A Fast Inference Algorithm for Stochastic Blockmodel.
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection.
Multi-graph-view Learning for Graph Classification.
MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs.
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors.
Efficient Integrity Verification for Outsourced Collaborative Filtering.
Mining Contentious Documents Using an Unsupervised Topic Model Based Approach.
Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy.
Diffusion Archaeology for Diffusion Progression History Reconstruction.
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Metric Factorization for Exploratory Analysis of Complex Data.
Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement.
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning.
A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data.
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
Locally Estimating Core Numbers.
Time Series Join on Subsequence Correlation.
A Scalable Method for Exact Sampling from Kronecker Family Models.
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization.
Modeling Adoptions and the Stages of the Diffusion of Innovations.
Classification by CUT: Clearance under Threshold.
Ternary Matrix Factorization.
Fast and Exact Monitoring of Co-Evolving Data Streams.
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews.
Anomaly Detection Using the Poisson Process Limit for Extremes.
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing.
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
UnTangle: Visual Mining for Data with Uncertain Multi-labels via Triangle Map.
Steering Information Diffusion Dynamically against User Attention Limitation.
Identifying Recurrent and Unknown Performance Issues.
Meng-Hui Lim Jian-Guang Lou Hongyu Zhang Qiang Fu Andrew Beng Jin Teoh Qingwei Lin Rui Ding Dongmei Zhang
Early Classification of Ongoing Observation.
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data.
Detecting Campaign Promoters on Twitter Using Markov Random Fields.
Locating POS Terminals from Credit Card Transactions.
Probabilistic Latent Document Network Embedding.
An Examination of Multivariate Time Series Hashing with Applications to Health Care.
A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering.
Neural Conditional Energy Models for Multi-label Classification.
News Credibility Evaluation on Microblog with a Hierarchical Propagation Model.
Technology Prospecting for High Tech Companies through Patent Mining.
Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations.
Diverse Power Iteration Embeddings and Its Applications.
TINA: Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation.
Social Spammer Detection with Sentiment Information.
Sequence Classification Based on Delta-Free Sequential Patterns.
Dual-Domain Hierarchical Classification of Phonetic Time Series.
SNOC: Streaming Network Node Classification.
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes.
Finding the Optimal Subspace for Clustering.
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors.
Low-Rank Common Subspace for Multi-view Learning.
Detecting Flow Anomalies in Distributed Systems.
LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations.
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields.
Learning Local Semantic Distances with Limited Supervision.
Factorized Similarity Learning in Networks.
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
Inferring Uncertain Trajectories from Partial Observations.
Quick Detection of High-Degree Entities in Large Directed Networks.
Orthogonal Matching Pursuit for Sparse Quantile Regression.
Discriminative Learning on Exemplary Patterns of Sequential Numerical Data.