icdm 2013 论文列表
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013.
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Structural-Context Similarities for Uncertain Graphs.
Adaptive Model Tree for Streaming Data.
Influence Maximization in Dynamic Social Networks.
Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles.
Influence and Profit: Two Sides of the Coin.
Combating Sub-Clusters Effect in Imbalanced Classification.
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks.
Transfer Learning across Cancers on DNA Copy Number Variation Analysis.
From Social User Activities to People Affiliation.
On Anomalous Hotspot Discovery in Graph Streams.
Efficient Proper Length Time Series Motif Discovery.
Efficiently Mining Top-K High Utility Sequential Patterns.
A Model for Discovering Correlations of Ubiquitous Things.
Sampling Heterogeneous Networks.
Multilabel Consensus Classification.
Efficient Online Sequence Prediction with Side Information.
Classification-Based Clustering Evaluation.
Exploring Patient Risk Groups with Incomplete Knowledge.
Efficient and Scalable Information Geometry Metric Learning.
Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data.
Multiclass Semi-Supervised Boosting Using Similarity Learning.
Non-negative Multiple Tensor Factorization.
Co-ClusterD: A Distributed Framework for Data Co-Clustering with Sequential Updates.
MLI: An API for Distributed Machine Learning.
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning.
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model.
Graph Partitioning Change Detection Using Tree-Based Clustering.
Network Hypothesis Testing Using Mixed Kronecker Product Graph Models.
Multitask Learning with Feature Selection for Groups of Related Tasks.
Community Detection in Networks with Node Attributes.
On Good and Fair Paper-Reviewer Assignment.
Hibernating Process: Modelling Mobile Calls at Multiple Scales.
How Many Zombies Around You?
On the Feature Discovery for App Usage Prediction in Smartphones.
Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements.
Bayesian Multi-Task Relationship Learning with Link Structure.
Group Feature Selection with Streaming Features.
Prominent Features of Rumor Propagation in Online Social Media.
A Probabilistic Behavior Model for Discovering Unrecognized Knowledge.
Statistical Inference of Protein "LEGO Bricks".
Accelerating Active Learning with Transfer Learning.
Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning.
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation.
A Mobility Simulation Framework Of Humans With Group Behavior Modeling.
Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships.
Efficient Invariant Search for Distributed Information Systems.
Online Active Learning with Imbalanced Classes.
Walk 'n' Merge: A Scalable Algorithm for Boolean Tensor Factorization.
Progression Analysis of Community Strengths in Dynamic Networks.
Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee.
Most Clusters Can Be Retrieved with Short Disjunctive Queries.
Discriminative Link Prediction Using Local Links, Node Features and Community Structure.
Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method.
A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks.
PerturBoost: Practical Confidential Classifier Learning in the Cloud.
Discriminatively Enhanced Topic Models.
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree.
External Evaluation of Topic Models: A Graph Mining Approach.
Validating Network Value of Influencers by Means of Explanations.
Beyond Boolean Matrix Decompositions: Toward Factor Analysis and Dimensionality Reduction of Ordinal Data.
Influence-Based Network-Oblivious Community Detection.
Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression.
Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters.
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization.
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions.
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
Efficient Learning for Models with DAG-Structured Parameter Constraints.
Feature Transformation with Class Conditional Decorrelation.
Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks.
Markov Blanket Feature Selection with Non-faithful Data Distributions.
Efficient Learning on Point Sets.
TopicSketch: Real-Time Bursty Topic Detection from Twitter.
Multi-instance Multi-graph Dual Embedding Learning.
Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing.
A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics.
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering.
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems.
Binary Time-Series Query Framework for Efficient Quantitative Trait Association Study.
Constructing Topical Hierarchies in Heterogeneous Information Networks.
Cox Regression with Correlation Based Regularization for Electronic Health Records.
Discovering Non-redundant Overlapping Biclusters on Gene Expression Data.
Price Information Patterns in Web Search Advertising: An Empirical Case Study on Accommodation Industry.
Collective Response Spike Prediction for Mutually Interacting Consumers.
Itemsets for Real-Valued Datasets.
Noise-Resistant Bicluster Recognition.
Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints.
Time Series Classification Using Compression Distance of Recurrence Plots.
On Pattern Preserving Graph Generation.
Most-Surely vs. Least-Surely Uncertain.
Classifying Spam Emails Using Text and Readability Features.
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs.
Mining User Lifecycles from Online Community Platforms and their Application to Churn Prediction.
Weighted-Object Ensemble Clustering.
Power to the Points: Validating Data Memberships in Clusterings.
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.
Scaling Log-Linear Analysis to High-Dimensional Data.
Forecasting Spatiotemporal Impact of Traffic Incidents on Road Networks.
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning.
Least Cost Influence in Multiplex Social Networks: Model Representation and Analysis.
Dominance Programming for Itemset Mining.
Enumeration of Time Series Motifs of All Lengths.
Mining Evolving Network Processes.
Quantification Trees.
Explaining Outliers by Subspace Separability.
Active Density-Based Clustering.
Mining Summaries of Propagations.
Mining Statistically Significant Sequential Patterns.
Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.
Linear Computation for Independent Social Influence.
Mining Following Relationships in Movement Data.
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases.
Tag-Weighted Dirichlet Allocation.
Learning, Analyzing and Predicting Object Roles on Dynamic Networks.
TL-PLSA: Transfer Learning between Domains with Different Classes.
Guiding Autonomous Agents to Better Behaviors through Human Advice.
Blocking Simple and Complex Contagion by Edge Removal.
BIG-ALIGN: Fast Bipartite Graph Alignment.
Efficient Algorithms for Selecting Features with Arbitrary Group Constraints via Group Lasso.
A High-Dimensional Set Top Box Ad Targeting Algorithm Including Experimental Comparisons to Traditional TV Algorithms.
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery.
Semantic Frame-Based Document Representation for Comparable Corpora.
An Unsupervised Algorithm for Learning Blocking Schemes.
Conformal Prediction Using Decision Trees.
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results.
GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases.
Min-Max Hash for Jaccard Similarity.
Identifying Transformative Scientific Research.
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.
Kernel Density Metric Learning.
Parameter-Free Audio Motif Discovery in Large Data Archives.
Utilizing URLs Position to Estimate Intrinsic Query-URL Relevance.
Permutation-Based Sequential Pattern Hiding.
Spectral Subspace Clustering for Graphs with Feature Vectors.
Mixed Membership Subspace Clustering.
Search Behavior Based Latent Semantic User Segmentation for Advertising Targeting.
Extraction of Interpretable Multivariate Patterns for Early Diagnostics.
Online Estimation of Discrete Densities.
Compression-Based Graph Mining Exploiting Structure Primitives.
Distributed Column Subset Selection on MapReduce.
Transfer Learning across Networks for Collective Classification.
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics.
Generative Maximum Entropy Learning for Multiclass Classification.
Local and Global Discriminative Learning for Unsupervised Feature Selection.
Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization.
wRACOG: A Gibbs Sampling-Based Oversampling Technique.
Modeling Preferences with Availability Constraints.
Modeling Temporal Adoptions Using Dynamic Matrix Factorization.
Active Matrix Completion.
Controlling Attribute Effect in Linear Regression.
The Pairwise Gaussian Random Field for High-Dimensional Data Imputation.
Maximizing Expected Model Change for Active Learning in Regression.
Context-Aware MIML Instance Annotation.
CSI: Charged System Influence Model for Human Behavior Prediction.
A Masking Index for Quantifying Hidden Glitches.
Subgraph Enumeration in Dynamic Graphs.
Tree-Like Structure in Large Social and Information Networks.
