icdm 2007 论文列表Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA. |
Simultaneous Pattern and Data Hiding in Unsupervised Learning.
Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases.
Privacy-Preserving Data Mining Applications in the Malicious Model.
Private Inference Control for Aggregate Database Queries.
A Secure Clustering Algorithm for Distributed Data Streams.
Privacy-Preserving k-NN for Small and Large Data Sets.
Hiding Sensitive Trajectory Patterns.
Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Niño Southern Oscillation.
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT.
A Hybrid Classification Scheme for Mining Multisource Geospatial Data.
The Vegetation Outlook (VegOut): A New Tool for Providing Outlooks of General Vegetation Conditions Using Data Mining Techniques.
Using Statistics and Spatial Data Mining to Study Land Cover in Wyoming : Can We Predict Vegetation Types from Environmental Variables?
Formulating, Identifying and Analyzing Individual Spatial Knowledge.
Areal Aggregated Crime Reasoning through Density Tracing.
Diagnosing Similarity of Oscillation Trends in Time Series.
Spatial Clustering Using the Likelihood Function.
Space-Time Summarization of Multisensor Time Series. Case of Missing Data.
Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining.
Query Expansion Using Topic and Location.
Pattern Mining as Abduction: From Snapshots to Spatio-Temporal Sequential Patterns.
Modeling Fundamental Geo-Raster Operations with Array Algebra.
A Compact Representation of Spatio-Temporal Data.
On Regional Association Rule Scoping.
Space-Time Interpolation and Uncertainty Assessment of an Extreme Precipitation Index Using Geostatistical Cosimulation.
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files.
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream.
Infrequent Item Mining in Multiple Data Streams.
High-Speed Identification of Language and Script.
Optimal Window Change Detection.
Sequential Change Detection on Data Streams.
An Approach for Incremental Semi-supervised SVM.
Hierarchical Classifier Combination and Its Application in Networks Intrusion Detection.
Incremental Quantization for Aging Data Streams.
Incremental Integration of Probabilistic Models Learned from Data.
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs.
Representing Tuple and Attribute Uncertainty in Probabilistic Databases.
Granularity Conscious Modeling for Probabilistic Databases.
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data.
Efficient Mining of Frequent Patterns from Uncertain Data.
Reducing UK-Means to K-Means.
Skewed Class Distributions and Mislabeled Examples.
Error-Aware Density-Based Clustering of Imprecise Measurement Values.
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks.
Genre Categorization of Web Pages.
Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone.
A Divisive Hierarchical Structural Clustering Algorithm for Networks.
Exploiting Network Structure for Active Inference in Collective Classification.
Learning Term Dependency Links Using Information Theoretic Inclusion Measure.
GDClust: A Graph-Based Document Clustering Technique.
An Examination of Experimental Methodology for Classifiers of Relational Data.
Tree Planar Languages.
Subgraph Support in a Single Large Graph.
Discovering Structural Anomalies in Graph-Based Data.
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships.
Combining Collective Classification and Link Prediction.
Utility-Based Web Path Traversal Pattern Mining.
Experimental Comparison of Feature Subset Selection Methods.
Semi-supervised Clustering Using Bayesian Regularization.
WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure.
Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability.
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
Robust Unsupervised and Semisupervised Bounded C-Support Vector Machines.
An Efficient Technique for Mining Approximately Frequent Substring Patterns.
Twin Kernel Embedding with Back Constraints.
Extracting Knowledge to Predict TSP Asymptotic Time Complexity.
Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization.
A Novel Parallel Boolean Approach for Discovering Frequent Itemsets.
Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis.
Classification with Choquet Integral with Respect to Signed Non-additive Measure.
Semi-supervised Kernel Logistic Regression and Its Extension to Active Learning Based on A-Optimality.
A Novel Rule Weighting Approach in Classification Association Rule Mining.
Generalized Additive Models from a Neural Network Perspective.
Dual Fuzzy-Possibilistic Co-clustering for Document Categorization.
A Regularized Multiple Criteria Linear Program for Classification.
An Efficient Fitness Assignment Based on Dominating Tree.
Physical Analysis of Precipitation Factors Based on SVM Method.
Feature Selection for Nonlinear Kernel Support Vector Machines.
Mining Distance-Based Outliers from Categorical Data.
Predicting and Optimizing Classifier Utility with the Power Law.
Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract.
Using Data Mining to Estimate Missing Sensor Data.
Distance Metric Learning through Optimization of Ranking.
Learning What Makes a Society Tick.
Data Clustering with a Relational Push-Pull Model.
Data Modeling for Content-Based Support Environment Application on Epilepsy Data Mining.
Analysis of Relationship between Blood Stream Infection and Clinical Background in Patients' Lactobacillus Therapy by Data Mining.
Utilization of Data-Mining Techniques for Evaluation of Patterns of Asthma Drugs Use by Ambulatory Patients in a Large Health Maintenance Organization.
Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home.
Predictive Data Mining for Lung Nodule Interpretation.
Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations.
Automatically Finding Images for Clinical Decision Support.
Dina Demner-Fushman Sameer K. Antani Mohammad-Reza Siadat Hamid Soltanian-Zadeh Farshad Fotouhi Kost V. Elisevich
Time-Annotated Sequences for Medical Data Mining.
Developing an Integrated Time-Series Data Mining Environment for Medical Data Mining.
Modeling and Management of Signal Transduction Pathways with Live Sequence Charts.
Discovering Gene Expression Data from the Tables of Full Text Publications.
A Content Based Pattern Analysis System for a Biological Specimen Collection.
Mapping Gene/Protein Names in Free Text to Biomedical Databases.
Statistical Approaches to Identifying Androgen Response Elements.
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction.
Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration.
A Comparative Study of Methods for Transductive Transfer Learning.
Adapting SVM Classifiers to Data with Shifted Distributions.
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences.
Bit Sequences and Biclustering of Text Documents.
Semi-Automatic Semantic Annotation of Images.
Automatic Generation of Traditional Style Painting by Using Density-Based Color Clustering.
Extracting Author Meta-Data from Web Using Visual Features.
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks.
SOPS: Stock Prediction Using Web Sentiment.
FiVaTech: Page-Level Web Data Extraction from Template Pages.
Aspect Summarization from Blogsphere for Social Study.
Ask the Crowd to Find out What's Important.