icdm 2012 论文列表12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. |
Inferring the Underlying Structure of Information Cascades.
Mining Personal Context-Aware Preferences for Mobile Users.
Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles.
Cross-Language Opinion Target Extraction in Review Texts.
Detecting Spam and Promoting Campaigns in the Twitter Social Network.
Hashing with Generalized Nyström Approximation.
A General Framework for Publishing Privacy Protected and Utility Preserved Graph.
Robust Ensemble Clustering by Matrix Completion.
Community-Affiliation Graph Model for Overlapping Network Community Detection.
An Approach to Evaluate the Local Completeness of an Event Log.
Towards Annotating Media Contents through Social Diffusion Analysis.
Collaborative Filtering with Aspect-Based Opinion Mining: A Tensor Factorization Approach.
Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering.
Cost-Sensitive Online Classification.
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary.
A New Proposal for Score Normalization in Biometric Signature Recognition Based on Client Threshold Prediction.
Carlos Vivaracho-Pascual María Arancha Simón Hurtado Esperanza Manso Martínez Juan Manuel Pascual-Gaspar
A Cluster-Oriented Genetic Algorithm for Alternative Clustering.
An AdaBoost Algorithm for Multiclass Semi-supervised Learning.
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network.
Low-Rank Transfer Subspace Learning.
Learning Target Predictive Function without Target Labels.
Sparse Subspace Representation for Spectral Document Clustering.
Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network.
Active Label Correction.
Granger Causality for Time-Series Anomaly Detection.
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization.
Topic Models over Spoken Language.
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach.
Clustering by Learning Constraints Priorities.
Spatial Interpolation Using Multiple Regression.
Mining User Mobility Features for Next Place Prediction in Location-Based Services.
Scaling Inference for Markov Logic via Dual Decomposition.
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining.
Learning Attitudes and Attributes from Multi-aspect Reviews.
A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts.
A Classification Based Framework for Concept Summarization.
Heterogeneous Constraint Propagation with Constrained Sparse Representation.
Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates.
Progressive Mining of Transition Dynamics for Autonomous Control.
Direct Discovery of High Utility Itemsets without Candidate Generation.
Metric Learning from Relative Comparisons by Minimizing Squared Residual.
Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts.
Fast Kernel Sparse Representation Approaches for Classification.
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing.
Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics.
Predicting Directed Links Using Nondiagonal Matrix Decompositions.
A Semi-definite Positive Linear Discriminant Analysis and Its Applications.
Low Dimensional Localized Clustering (LDLC).
Deep Learning to Hash with Multiple Representations.
Decision Theory for Discrimination-Aware Classification.
IRIE: Scalable and Robust Influence Maximization in Social Networks.
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic.
Towards Automatic Image Understanding and Mining via Social Curation.
A New Anomaly Detection Algorithm Based on Quantum Mechanics.
IceCube: Efficient Targeted Mining in Data Cubes.
Transductive Representation Learning for Cross-Lingual Text Classification.
Towards Active Learning on Graphs: An Error Bound Minimization Approach.
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization.
Mining Permission Request Patterns from Android and Facebook Applications.
Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification.
Self-Taught Active Learning from Crowds.
Geodesic Based Semi-supervised Multi-manifold Feature Extraction.
Adapting Component Analysis.
Privacy-Preserving SimRank over Distributed Information Network.
Multi-task Learning for Classifying Proteins Using Dual Hierarchies.
Co-clustering of Multi-view Datasets: A Parallelizable Approach.
Rough Set Subspace Error-Correcting Output Codes.
Semantic Aspect Discovery for Online Reviews.
Risks of Friendships on Social Networks.
Multiple Kernel Learning Clustering with an Application to Malware.
Self-Training with Selection-by-Rejection.
Clustering Time Series Using Unsupervised-Shapelets.
Scalable Training of Sparse Linear SVMs.
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Predicting Links in Multi-relational and Heterogeneous Networks.
Defining and Evaluating Network Communities Based on Ground-Truth.
Efficient Learning for Hashing Proportional Data.
Handling Ambiguity via Input-Output Kernel Learning.
Ensemble Pruning via Constrained Eigen-Optimization.
Scalable and Memory-Efficient Clustering of Large-Scale Social Networks.
Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them).
Local and Global Algorithms for Learning Dynamic Bayesian Networks.
Kernel-Based Weighted Multi-view Clustering.
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations.
Distributed Matrix Completion.
Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory.
Dimensionality Reduction on Heterogeneous Feature Space.
Online Induction of Probabilistic Real Time Automata.
A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification.
Efficient Episode Mining of Dynamic Event Streams.
Utilizing Real-World Transportation Data for Accurate Traffic Prediction.
Unsupervised Multi-class Regularized Least-Squares Classification.
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging.
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
Automatically Discovering Talented Musicians with Acoustic Analysis of YouTube Videos.
High Performance Offline and Online Distributed Collaborative Filtering.
Clash of the Contagions: Cooperation and Competition in Information Diffusion.
Outlier Ranking via Subspace Analysis in Multiple Views of the Data.
Dynamic Boolean Matrix Factorizations.
Community Preserving Lossy Compression of Social Networks.
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data.
Parallelization with Multiplicative Algorithms for Big Data Mining.
Profit Maximization over Social Networks.
Robust Prediction and Outlier Detection for Spatial Datasets.
Reliable Clustering on Uncertain Graphs.
A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces.
Time Constrained Influence Maximization in Social Networks.
A General and Scalable Approach to Mixed Membership Clustering.
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.
Efficient Behavior Targeting Using SVM Ensemble Indexing.
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media.
Outlier Detection in Arbitrarily Oriented Subspaces.
Effective and Robust Mining of Temporal Subspace Clusters.
Understanding Data Completeness in Network Monitoring Systems.
ETM: Entity Topic Models for Mining Documents Associated with Entities.
ConfDTree: Improving Decision Trees Using Confidence Intervals.
Active Evaluation of Classifiers on Large Datasets.
Bounded Matrix Low Rank Approximation.
Discovery of Causal Rules Using Partial Association.
Dimensional Testing for Multi-step Similarity Search.
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.
Sequential Network Change Detection with Its Applications to Ad Impact Relation Analysis.
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors.
Tuple MapReduce: Beyond Classic MapReduce.
Graph-Oriented Learning via Automatic Group Sparsity for Data Analysis.
Isometric Multi-manifold Learning for Feature Extraction.
Reconstructing Graphs from Neighborhood Data.
An Ellipsoidal K-Means for Document Clustering.
RankTopic: Ranking Based Topic Modeling.
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization.
Multi-task Semi-supervised Semantic Feature Learning for Classification.
Link Prediction and Recommendation across Heterogeneous Social Networks.
Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles.
Efficient Kernel Clustering Using Random Fourier Features.
Student-t Based Robust Spatio-temporal Prediction.
Inferring the Root Cause in Road Traffic Anomalies.
Efficient Pattern-Based Time Series Classification on GPU.
Diffusion of Information in Social Networks: Is It All Local?
The Mixture of Multi-kernel Relevance Vector Machines Model.
Hierarchical Multilabel Classification with Minimum Bayes Risk.
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis.
Topic-Aware Social Influence Propagation Models.
Computational Television Advertising.
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio.
Feature Weighting and Selection Using Hypothesis Margin of Boosting.
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble.
Tahseen Al-Khateeb Mohammad M. Masud Latifur Khan Charu C. Aggarwal Jiawei Han Bhavani M. Thuraisingham
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings.
Spotting Culprits in Epidemics: How Many and Which Ones?
Differentially Private Histogram Publishing through Lossy Compression.