icdm 2016 论文列表
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain.
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Multi-label Learning with Emerging New Labels.
Gaussian Component Based Index for GMMs.
Dynamic Poisson Factor Analysis.
Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization.
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization.
ROM: A Robust Online Multi-task Learning Approach.
Low-Rank Sparse Feature Selection for Patient Similarity Learning.
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification.
Deep Convolutional Factor Analyser for Multivariate Time Series Modeling.
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
Functional Regression with Mode-Sparsity Constraint.
Dynamic Contextual Multi Arm Bandits in Display Advertisement.
Topic Discovery for Short Texts Using Word Embeddings.
Spectrum-Revealing Cholesky Factorization for Kernel Methods.
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash.
Selecting Valuable Customers for Merchants in E-Commerce Platforms.
The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective.
Bayesian Rule Sets for Interpretable Classification.
Robust Convex Clustering Analysis.
Differential Location Privacy for Sparse Mobile Crowdsensing.
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data.
Multi-view Clustering via Concept Factorization with Local Manifold Regularization.
Learning Task Relational Structure for Multi-task Feature Learning.
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.
Modeling Real Estate for School District Identification.
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding.
Mining Summaries for Knowledge Graph Search.
Prefix and Suffix Invariant Dynamic Time Warping.
Online Unsupervised Multi-view Feature Selection.
Reliable Semi-supervised Learning.
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining.
Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach.
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
Learning Independent, Diverse Binary Hash Functions: Pruning and Locality.
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective.
Scalable Block Scheduling for Efficient Multi-database Record Linkage.
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study.
Product-Based Neural Networks for User Response Prediction.
Background Check: A General Technique to Build More Reliable and Versatile Classifiers.
A Fast Factorization-Based Approach to Robust PCA.
Compressing Random Forests.
A Scalable Framework for Stylometric Analysis Query Processing.
Self-Grouping Multi-network Clustering.
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems.
Budgeted Batch Bayesian Optimization.
Optimizing the Multiclass F-Measure via Biconcave Programming.
Faster Kernels for Graphs with Continuous Attributes via Hashing.
Foundations of Perturbation Robust Clustering.
Towards Scalable Network Delay Minimization.
Factorizing Complex Discrete Data "with Finesse".
Efficient and Scalable Detection of Overlapping Communities in Big Networks.
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization.
Structure-Preserved Multi-source Domain Adaptation.
Context-Aware Sequential Recommendation.
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis.
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification.
Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation.
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Regularized Large Margin Distance Metric Learning.
Concept Based Short Text Stream Classification with Topic Drifting Detection.
Toward Time-Evolving Feature Selection on Dynamic Networks.
Time-Aware User Identification with Topic Models.
Mining Statistically Significant Attribute Associations in Attributed Graphs.
Steering Social Media Promotions with Effective Strategies.
ExploreKit: Automatic Feature Generation and Selection.
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.
Learning Deep Networks from Noisy Labels with Dropout Regularization.
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection.
Improved and Scalable Bradley-Terry Model for Collaborative Ranking.
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media.
Learning Compatibility Across Categories for Heterogeneous Item Recommendation.
SOAL: Second-Order Online Active Learning.
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.
Semi-Supervised Multi-label Dimensionality Reduction.
Direct Mining of Subjectively Interesting Relational Patterns.
Large-Scale Embedding Learning in Heterogeneous Event Data.
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks.
Probabilistic Formulations of Regression with Mixed Guidance.
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length.
A Semi-Supervised AUC Optimization Method with Generative Models.
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective.
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Modeling Time Lags in Citation Networks.
Spell: Streaming Parsing of System Event Logs.
Incorporating Expert Feedback into Active Anomaly Discovery.
Outlier Detection from Network Data with Subnetwork Interpretation.
Can Active Learning Experience Be Transferred?
Event Grounding from Multimodal Social Network Fusion.
Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models.
Interpretable Clustering via Discriminative Rectangle Mixture Model.
DeBot: Twitter Bot Detection via Warped Correlation.
Efficient Sampling-Based Kernel Mean Matching.
A Theoretical Analysis of the Fuzzy K-Means Problem.
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data.
DESQ: Frequent Sequence Mining with Subsequence Constraints.
A Combinatorial Approach to Role Discovery.
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties.
Cut Tree Construction from Massive Graphs.
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm.
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data.
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding.
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction.
Bi-Level Rare Temporal Pattern Detection.
Graph-Structured Sparse Optimization for Connected Subgraph Detection.
To be or Not to be Friends: Exploiting Social Ties for Venture Investments.
Multi-resolution Spatial Event Forecasting in Social Media.
Group Preference Aggregation: A Nash Equilibrium Approach.
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses.
Reliable Gender Prediction Based on Users' Video Viewing Behavior.
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data.
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent.
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent.
Homophily, Structure, and Content Augmented Network Representation Learning.
Communities in Preference Networks: Refined Axioms and Beyond.
Random Walk with Restart over Dynamic Graphs.
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series.
Generalized Independent Subspace Clustering.
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach.
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.
Heterogeneous Representation Learning with Structured Sparsity Regularization.
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint.
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing.
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method.
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems.
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms.
Subspace Outlier Detection in Linear Time with Randomized Hashing.
Recommending Packages to Groups.
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis.
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis.
Partition Aware Connected Component Computation in Distributed Systems.
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings.
Sparse Factorization Machines for Click-through Rate Prediction.
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank.
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns.
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models.
AWarp: Fast Warping Distance for Sparse Time Series.
Learning Hierarchically Decomposable Concepts with Active Over-Labeling.
Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques.
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures.
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications.
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift.
Robust Multi-View Feature Selection.
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference.
The Optimal Distribution of Electric-Vehicle Chargers across a City.
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
Interactive Multi-task Relationship Learning.
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Edge Weight Prediction in Weighted Signed Networks.
From Sets of Good Redescriptions to Good Sets of Redescriptions.
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.
Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs.
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study.
Event Series Prediction via Non-Homogeneous Poisson Process Modelling.
New Robust Clustering Model for Identifying Cancer Genome Landscapes.
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering.
Beyond Points and Paths: Counting Private Bodies.
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis.
Efficient Distributed SGD with Variance Reduction.
On Efficient External-Memory Triangle Listing.
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites.
Differentially Private Regression Diagnostics.
Mining Graphlet Counts in Online Social Networks.
Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement.
On Dense Subgraphs in Signed Network Streams.
Causal Inference by Compression.
ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings.
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data.
Asynchronous Multi-task Learning.
Auditing Black-Box Models for Indirect Influence.
