Poster Receptions

With a few exceptions, posters are presented on the day that the paper is presented. Wednesday presentations have posters in the Tuesday session.

Monday Reception

  • Cross-Domain Spectral Learning
  • Microscopic evolution of social networks
  • A Family of Dissimilarity Measures between Nodes Generalizing both the Shortest-Path and the Commute-time Distances
  • Direct Mining of Discriminative and Essential Graphical and Itemset Features via Model-based Search Tree
  • Mining Preferences from Superior and Inferior Examples
  • Structured Metric Learning for High Dimensional Problems
  • Permu-pattern: Discovery of Mutable Permutation Patterns with Proximity Constraint
  • Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering
  • Weighted Graphs and Disconnected Components: Patterns and a Generator
  • Spotting Out Emerging Artists Using Geo-Aware Analysis of P2P Query Strings
  • Mining Adaptively Frequent Closed Unlabeled Rooted Trees in Data Streams
  • Colibri: Fast Mining of Large Static and Dynamic Graphs
  • Efficient Computation of Personal Aggregate Queries on Blogs
  • Feedback Effects between Similarity and Social Influence in Online Communities
  • Probabilistic Latent Semantic Visualization: Topic Model for Visualizing Documents
  • Efficient semi-streaming algorithms for local triangle counting in massive graphs
  • Unsupervised Deduplication using Cross-Field Dependencies
  • FastANOVA: an efficient algorithm for genome-wide association study
  • Model-Based Document Clustering with a Collapsed Gibbs Sampler
  • Anticipating Annotations and Emerging Trends in Biomedical Literature
  • Constructing comprehensive summaries of large event sequences
  • Training Structural SVMs with Kernels using Sampled Cuts
  • Mobile Call Graphs: Beyond Power-Law and Lognormal Distributions
  • Automated Cyclone Discovery and Tracking using Multiple Heterogeneous Satellite Data
  • Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation
  • Land Cover Change Detection: A Case Study
  • Locality Sensitive Hash Functions Based on Concomitant Rank Order Statistics
  • Entity Categorization over Large Document Collections
  • The Structure of Information Pathways in Social Communication Networks
  • Volatile Correlation Computation: A Checkpoint View
  • Can Complex Network Metrics Predict the Behavior of NBA Teams?
  • Community Evolution in Dynamic Multi-Mode Networks
  • Knowledge Discovery of Semantic Relationships between Words Using Nonparametric Bayesian Graph Model
  • Reconstructing Chemical Reaction Networks: Data Mining meets System Identification
  • Topical query decomposition
  • Identifying Biologically Relevant Genes via Multiple Heterogeneous Data Sources
  • Learning from Multi-Topic Web Documents for Contextual Advertising
  • De-duping URLs via Rewrite Rules
  • Quantitative Evaluation of Approximate Frequent Pattern Mining Algorithms
  • Partial Least Squares Regression for Graph Mining
  • Generating Succinct Titles for Web Pages
  • Influence and Correlation in Social Networks
  • Customer Targeting Models Using Actively-Selected Web Content
  • Extracting Shared Subspace for Multi-label Classification
  • Learning Subspace Kernels for Classification
  • Joint Latent Topic Models for text and citations
  • Simultaneous Tensor Subspace Selection and Clustering: The Equivalence of High Order SVD and K-Means Clustering
  • A Unified Approach for Schema Matching, Coreference, and Canonicalization
  • Multi-class Cost-sensitive Boosting with p-norm Loss Functions
  • CCF: Combinational Collaborative Filtering for Personalized Community Recommendation
  • Structured Learning for Non-Smooth Ranking Losses

Tuesday Reception

  • Learning Classifiers from Only Positive and Unlabeled Data
  • SPIRAL: Efficient and Exact Model Identification for Hidden Markov Models
  • Partitioned Logistic Regression for Spam Filtering
  • Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model
  • Discrimination-aware data mining
  • Identifying Authoritative Actors in Question-Answering Forums - The Case of Yahoo! Answers
  • The Cost of Privacy: Destruction of Data-Mining Utility in Anonymized Data Publishing
  • A Sequential Dual Method for Large Scale Multi-Class Linear SVMs
  • CutS3VM: A Fast Semi-Supervised SVM Algorithm
  • Two Birds with One Stone: A Joint Model For Structured Entity Identification and Document Categorization
  • Context-Aware Query Suggestion by Mining Click-Through and Session Data
  • Temporal pattern discovery for trends and transient effects: its application to patient records
  • Angle-Based Outlier Detection in High-dimensional Data
  • Efficient Ticket Routing by Resolution Sequence Mining
  • Building Semantic Kernels for Text Classification using Wikipedia
  • Interpretable Nonnegative Matrix Decompositions
  • Constraint Programming for Itemset Mining
  • On Updates that Constrain the Features' Connections
  • Fast Logistic Regression for Text Categorization with Variable-Length N-grams
  • Banded structure in binary matrices
  • A Visual-Analytic Toolkit for Dynamic Interaction Graphs
  • Using Predictive Analysis to Improve Invoice-to-Cash Collection
  • Stable Feature Selection via Dense Feature Groups
  • Noisy Multilabeling for Data Mining
  • Active Learning with Direct Query Construction
  • Composition Attacks and Auxiliary Information in Data Privacy
  • Stream Prediction Using a Generative Model Based on Frequent Episodes in Event Sequences
  • Knowledge Transfer via Multiple Model Local Structure Mapping
  • Extraction and Mining of Academic Social Network
  • Relational Learning via Collective Matrix Factorization
  • Classification with Partial Labels
  • Anonymizing Transaction Databases for Publication
  • Cut-And-Stitch: Efficient Parallel Learning of Linear Dynamical Systems on SMPs
  • Information Extraction from Wikipedia: Moving Down the Long Tail
  • Learning Methods for Lung Tumor Markerless Gating in Image-Guided Radiotherapy
  • Effective Label Acquisition for Collective Classification
  • Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere
  • Automatic identification of quasi-experimental designs for discovering causal knowledge
  • Anomaly Pattern Detection in Categorical Datasets
  • FAST: A ROC-based Feature Selection Metric for Small Samples and Imbalanced Data Classification Problems
  • Asymmetric Support Vector Learning with Low Generalizable False-Alarm Rate
  • Heterogeneous Data Fusion for Alzheimer's Disease Study
  • Privacy-Preserving Cox Regression for Survival Analysis
  • Succinct Summarization of Transactional Databases: An Overlapped Hyperrectangle Scheme
  • Effective and Efficient Itemset Pattern Summarization: Regression-based Approaches
  • Mining Multi-Faceted Overviews of Arbitrary Topics in a Text Collection
  • Hypergraph Spectral Learning for Multi-label Classification
  • Persuasive Aspects of Visualization
  • Scalable Online Ad Serving: Experimental Comparison of Simple Techniques
  • Scaling Up Text Classification for Large File Systems