icdm 2008 论文列表Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy. |
Cleansing Noisy Data Streams.
Graph-Based Iterative Hybrid Feature Selection.
Maximum Margin Embedding.
Robust Time-Referenced Segmentation of Moving Object Trajectories.
Learning the Latent Semantic Space for Ranking in Text Retrieval.
Publishing Sensitive Transactions for Itemset Utility.
Pseudolikelihood EM for Within-network Relational Learning.
Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling.
Iterative Set Expansion of Named Entities Using the Web.
Using Wikipedia for Co-clustering Based Cross-Domain Text Classification.
Inference Analysis in Privacy-Preserving Data Re-publishing.
Computational Discovery of Motifs Using Hierarchical Clustering Techniques.
Filling in the Blanks - Krimp Minimisation for Missing Data.
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions.
A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search.
Prediction of Skin Penetration Using Machine Learning Methods.
A Novel Method of Combined Feature Extraction for Recognition.
Block-Iterative Algorithms for Non-negative Matrix Approximation.
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection.
Document-Word Co-regularization for Semi-supervised Sentiment Analysis.
Collective Latent Dirichlet Allocation.
Clustering Geospatial Objects via Hidden Markov Random Fields.
Iterative Subgraph Mining for Principal Component Analysis.
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference.
Multi-label Classification Using Ensembles of Pruned Sets.
RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences.
Similarity Learning for Nearest Neighbor Classification.
Sparse Maximum Margin Logistic Regression for Credit Scoring.
Quantitative Association Analysis Using Tree Hierarchies.
Variance Minimization Least Squares Support Vector Machines for Time Series Analysis.
Alert Detection in System Logs.
Frequent Subgraph Retrieval in Geometric Graph Databases.
Organic Pie Charts.
Stream Sequential Pattern Mining with Precise Error Bounds.
Spatiotemporal Relational Probability Trees: An Introduction.
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data.
Classifying High-Dimensional Text and Web Data Using Very Short Patterns.
Spotting Significant Changing Subgraphs in Evolving Graphs.
Multi-Space-Mapped SVMs for Multi-class Classification.
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis.
Releasing the SVM Classifier with Privacy-Preservation.
Time Sensitive Ranking with Application to Publication Search.
HIREL: An Incremental Clustering Algorithm for Relational Datasets.
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams.
WiFIsViz: Effective Visualization of Frequent Itemsets.
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling.
Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis.
Boosting Relational Sequence Alignments.
Discovering Flow Anomalies: A SWEET Approach.
Direct Zero-Norm Optimization for Feature Selection.
Clustering Documents with Active Learning Using Wikipedia.
Graph-Based Rare Category Detection.
Discovering Significant Patterns in Multi-stream Sequences.
A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach.
Text Mining in Radiology Reports.
Tianxia Gong Chew Lim Tan Tze-Yun Leong Cheng Kiang Lee Boon Chuan Pang C. C. Tchoyoson Lim Qi Tian Suisheng Tang Zhuo Zhang
Cost-Sensitive Parsimonious Linear Regression.
A Recommendation System for Preconditioned Iterative Solvers.
Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis.
Multiplicative Mixture Models for Overlapping Clustering.
Why Stacked Models Perform Effective Collective Classification.
Efficient Feature Selection in the Presence of Multiple Feature Classes.
Finding Alternative Clusterings Using Constraints.
A Joint Matrix Factorization Approach to Unsupervised Action Categorization.
Estimating Aggregates over Multiple Sets.
A Probability Model for Projective Clustering on High Dimensional Data.
On Locally Linear Classification by Pairwise Coupling.
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data.
Mining Large Networks with Subgraph Counting.
Nonparametric Monotone Classification with MOCA.
A Conservative Feature Subset Selection Algorithm with Missing Data.
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy.
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization.
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation.
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs.
M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning.
Clustering Distributed Time Series in Sensor Networks.
TOFA: Trace Oriented Feature Analysis in Text Categorization.
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State.
Dirichlet Process Based Evolutionary Clustering.
SpecVAT: Enhanced Visual Cluster Analysis.
A Generative Probabilistic Model for Multi-label Classification.
Improving Collaborative Filtering Recommendations Using External Data.
Fast Counting of Triangles in Large Real Networks without Counting: Algorithms and Laws.
Measuring Proximity on Graphs with Side Information.
Finding Good Itemsets by Packing Data.
Balancing Spectral Clustering for Segmenting Spatio-temporal Observations of Multi-agent Systems.
Web Mining for Understanding Stories through Graph Visualisation.
Comparison of Cluster Representations from Partial Second- to Full Fourth-Order Cross Moments for Data Stream Clustering.
xCrawl: A High-Recall Crawling Method for Web Mining.
Temporal-Relational Classifiers for Prediction in Evolving Domains.
Bayesian Co-clustering.
Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter.
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining.
One-Class Collaborative Filtering.
Learning by Propagability.
What Sperner Family Concept Class is Easy to Be Enumerated?
Scaling up Classifiers to Cloud Computers.
Enhancing the Stability of Spectral Ordering with Sparsification and Partial Supervision: Application to Paleontological Data.
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
Modeling and Predicting the Helpfulness of Online Reviews.
Transductive Component Analysis.
TEFE: A Time-Efficient Approach to Feature Extraction.
Isolation Forest.
Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections.
Border Sampling through Coupling Markov Chain Monte Carlo.
Unsupervised Face Annotation by Mining the Web.
Mining Periodic Behavior in Dynamic Social Networks.
Scalable Tensor Decompositions for Multi-aspect Data Mining.
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons.
SCS: A New Similarity Measure for Categorical Sequences.
Clustering Uncertain Data Using Voronoi Diagrams.
A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text Classification.
Overlapping Matrix Pattern Visualization: A Hypergraph Approach.
A Fast Method to Mine Frequent Subsequences from Graph Sequence Data.
Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction.
Metropolis Algorithms for Representative Subgraph Sampling.
Semi-supervised Learning from General Unlabeled Data.
Collaborative Filtering for Implicit Feedback Datasets.
Maximum Margin Clustering with Pairwise Constraints.
A Novel Language-Model-Based Approach for Image Object Mining and Re-ranking.
Supervised Inductive Learning with Lotka-Volterra Derived Models.
Inlier-Based Outlier Detection via Direct Density Ratio Estimation.
Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research.
Andreas Hapfelmeier Jana Schmidt Marianne Mueller Stefan Kramer Robert Perneczky Alexander Kurz Alexander Drzezga
Efficient Discovery of Statistically Significant Association Rules.
Space Efficient String Mining under Frequency Constraints.
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding.
ReDSOM: Relative Density Visualization of Temporal Changes in Cluster Structures Using Self-Organizing Maps.
Formal Models for Expert Finding on DBLP Bibliography Data.
Generalized Framework for Syntax-Based Relation Mining.
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data.
Mining Order-Preserving Submatrices from Data with Repeated Measurements.
DECK: Detecting Events from Web Click-Through Data.
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems.
Graph OLAP: Towards Online Analytical Processing on Graphs.
SPARCL: Efficient and Effective Shape-Based Clustering.
SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows.
Anti-monotonic Overlap-Graph Support Measures.
Non-negative Matrix Factorization on Manifold.
A Non-parametric Semi-supervised Discretization Method.
A Randomized Approach for Approximating the Number of Frequent Sets.
Predicting Future Decision Trees from Evolving Data.
Paired Learners for Concept Drift.
Unsupervised Cross-Domain Learning by Interaction Information Co-clustering.
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.