sdm 2012 论文列表
Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012.
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Feature Selection for High-dimensional Integrated Data.
Mining Multi-Label Data Streams Using Ensemble-Based Active Learning.
Citation Prediction in Heterogeneous Bibliographic Networks.
An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing.
Legislative Prediction via Random Walks over a Heterogeneous Graph.
WIGM: Discovery of Subgraph Patterns in a Large Weighted Graph.
The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models.
Regularized Structured Output Learning with Partial Labels.
On Evaluation of Outlier Rankings and Outlier Scores.
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing.
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees.
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
Density-based Projected Clustering over High Dimensional Data Streams.
A Tree-Based Kernel for Graphs.
Generalized Optimization Framework for Graph-based Semi-supervised Learning.
On Finding Joint Subspace Boolean Matrix Factorizations.
Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection.
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis.
Constructing Training Sets for Outlier Detection.
Which Distance Metric is Right: An Evolutionary K-Means View.
Visualizing Variable-Length Time Series Motifs.
Detecting Extreme Rank Anomalous Collections.
Generalized Similarity Kernels for Efficient Sequence Classification.
Global Linear Neighborhoods for Efficient Label Propagation.
Group Sparsity in Nonnegative Matrix Factorization.
Tracking Spatio-Temporal Diffusion in Climate Data.
Fast Random Walk Graph Kernel.
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising.
Image Mining of Historical Manuscripts to Establish Provenance.
Monitoring and Mining Insect Sounds in Visual Space.
Discovering Context-aware Influential Objects.
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks.
Active Learning with Monotonicity Constraints.
Contextual Collaborative Filtering via Hierarchical Matrix Factorization.
Detecting Irregularly Shaped Significant Spatial and Spatio-Temporal Clusters.
Mining Social Dependencies in Dynamic Interaction Networks.
Context-aware Search for Personal Information Management Systems.
Combining Active Learning and Dynamic Dimensionality Reduction.
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study.
Clustering Based on Yukawa Potential.
Granger Causality Analysis in Irregular Time Series.
Query-based Biclustering using Formal Concept Analysis.
On Influential Node Discovery in Dynamic Social Networks.
Event Detection in Social Streams.
Robust Reputation-Based Ranking on Bipartite Rating Networks.
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems.
Mining Massive Archives of Mice Sounds with Symbolized Representations.
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.
Transfer Topic Modeling with Ease and Scalability.
Transfer Significant Subgraphs across Graph Databases.
Dual Transfer Learning.
Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces.
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links.
A Bayesian Markov-switching Model for Sparse Dynamic Network Estimation.
Sampling Strategies to Evaluate the Performance of Unknown Predictors.
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable.
Feature Selection over Distributed Data Streams through Convex Optimization.
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model.
Structural Analysis in Multi-Relational Social Networks.
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.
A Framework for the Evaluation and Management of Network Centrality.
On Dynamic Link Inference in Heterogeneous Networks.
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information.
A Distributed Kernel Summation Framework for General-Dimension Machine Learning.
Subtree Replacement in Decision Tree Simplification.
Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification.
Multi-Objective Multi-Label Classification.
Optimal Distance Estimation Between Compressed Data Series.
Beam Methods for the Profile Hidden Markov Model.
Mining Compressing Sequential Patterns.
Transformation Based Ensembles for Time Series Classification.
Simplex Distributions for Embedding Data Matrices over Time.
Class Relevant Pattern Mining in Output-Polynomial Time.
Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering.
Mining Patterns in Networks using Homomorphism.
MARBLES: Mining Association Rules Buried in Long Event Sequences.
Slim: Directly Mining Descriptive Patterns.
Learning from Heterogeneous Sources via Gradient Boosting Consensus.
Adaptive Multi-task Sparse Learning with an Application to fMRI Study.
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.
Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids.
Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling.
Multi-skill Collaborative Teams based on Densest Subgraphs.
Evaluating Event Credibility on Twitter.
HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search.
Microscopic Social Influence.
Feature Selection with Linked Data in Social Media.
Symmetric Nonnegative Matrix Factorization for Graph Clustering.
Supervised Clustering of Label Ranking Data.
Cluster-Aware Compression with Provable K-means Preservation.
Stratification Based Hierarchical Clustering Over a Deep Web Data Source.
The Multi-Set Stream Clustering Problem.
Sparse Group Lasso: Consistency and Climate Applications.
Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall.
Drought Detection of the Last Century: An MRF-based Approach.
Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions.
Detecting and Tracking Coordinated Groups in Dense, Systematically Moving, Crowds.
