icdm 2016 论文列表
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain.
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LSHDB: a parallel and distributed engine for record linkage and similarity search.
Informed Design Platform: Interpreting "Big Data" to Adaptive Place Designs.
DFA-G: A Unified Programming Model for Vertex-Centric Parallel Graph Processing.
SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks.
FacetsViewer: A Tool for Multi-faceted Decomposition of Complex Networks.
Graph Mining for Complex Data Analytics.
MobInsight: Understanding Urban Mobility with Crowd-Powered Neighborhood Characterizations.
Risk Mining: Company-Risk Identification from Unstructured Sources.
Cognito: Automated Feature Engineering for Supervised Learning.
Explode: An Extensible Platform for Differentially Private Data Analysis.
airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts.
PaTSI: Pattern Mining of Time Series of Satellite Images in Knime.
TENET: A Machine Learning-Based System for Target Characterization in Signaling Networks.
Financial Data Analysis with PGMs Using AMIDST.
Five Year Life Expectancy Calculator for Older Adults.
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining.
A Novel Pre-Classification Based kNN Algorithm.
Centrality-Based Approach for Supervised Term Weighting.
Clustering with the Levy Walk: "Hunting" for Clusters.
Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach.
Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders.
Subspace Clustering Ensembles through Tensor Decomposition.
Infer Mobility Patterns and Social Dynamics for Modelling Human Behaviour.
Improving the Prediction Cost of Drift Handling Algorithms by Abstaining.
A Novel Bayesian Ensemble Pruning Method.
A Semi-Supervised Ensemble Approach for Multi-label Learning.
Regression Techniques for Modelling Conception in Seasonally Calving Dairy Cows.
Towards Visualizing Hidden Structures.
Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes.
Spatio-Temporal Site Recommendation.
Hierarchical Temporal Memory Method for Time-Series-Based Anomaly Detection.
Vehicle Classification from Low Frequency GPS Data.
A Genetic Algorithm to Discover Flexible Motifs with Support.
TrendTracker: Modelling the Motion of Trends in Space and Time.
Flexible Similarity Search for Enriched Trajectories.
Correlating Social Interconnections of Users with Spatio-Temporal Check-Ins Behavior.
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.
Generating Time-Varying Road Network Data Using Sparse Trajectories.
Location Recommendations for New Businesses Using Check-in Data.
Markov Switching Copula Models for Longitudinal Data.
Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets.
A Graph-Based Approach to Spatiotemporal Event Sequence Mining.
Discovering Spatial Regions of High Correlation.
Fraud Detection in Voice-Based Identity Authentication Applications and Services.
Time-Based Ensembles for Prediction of Rare Events in News Stream.
Investors Attention and the Effects on Stock Market: An Empirical Study Based on Stock Forum.
Identifying Warning Behaviors of Violent Lone Offenders in Written Communication.
Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification.
Graph-Based Term Weighting Scheme for Topic Modeling.
Microblog Sentiment Topic Model.
Learning from User Workflows for the Characterization and Prediction of Software Crashes.
SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs.
Context-Specific Recommendation System for Predicting Similar PubMed Articles.
SemStim: Exploiting Knowledge Graphs for Cross-Domain Recommendation.
Semantic Enabled Recommender System for Micro-Blog Users.
Exploiting a Determinant-Based Metric to Evaluate a Word-Embeddings Matrix of Items.
Lexicon Knowledge Extraction with Sentiment Polarity Computation.
Modeling Satire in English Text for Automatic Detection.
SmartVideoRanking: Video Search by Mining Emotions from Time-Synchronized Comments.
Multi-sentiment Modeling with Scalable Systematic Labeled Data Generation via Word2Vec Clustering.
Scalable and Real-Time Sentiment Analysis of Twitter Data.
The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection.
Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts.
Sentiment Lexica from Paired Comparisons.
Bayesian Deep Convolution Belief Networks for Subjectivity Detection.
What Drives Consumer Choices? Mining Aspects and Opinions on Large Scale Review Data Using Distributed Representation of Words.
Mining the Opinionated Web: Classification and Detection of Aspect Contexts for Aspect Based Sentiment Analysis.
Research on Sentiment Analysis: The First Decade.
Scalable Privacy-Preserving Linking of Multiple Databases Using Counting Bloom Filters.
Faster Univariate Microaggregation for Power Law Distributions: k-Degree-Anonymity for Big Graphs.
Classification Rule Mining Supported by Ontology for Discrimination Discovery.
Model-Based Approaches for Independence-Enhanced Recommendation.
Incorporate Hashing with Multi-view Learning.
Laplacian SVM for Learning from Label Proportions.
Structural Nonparallel Support Vector Machine Based on LSH for Large-Scale Prediction.
MoCham: Robust Hierarchical Clustering Based on Multi-objective Optimization.
Visualization Method Based on Contour Map.
Data Exchange Platform to Fight Insurance Fraud on Blockchain.
BRPS: A Big Data Placement Strategy for Data Intensive Applications.
Aware Environment for Workshop with Game Storming.
Predicting the Outcome of Startups: Less Failure, More Success.
ID-Link, an Enabler for Medical Data Marketplace.
The Prominent Role of Probe Data and Big Data in Modern Technology.
Inferring Variable Labels Considering Co-occurrence of Variable Labels in Data Jackets.
Method for Extraction of Purchase Behavior and Product Character Using Dynamic Topic Model.
Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem.
Robust Local Scaling Using Conditional Quantiles of Graph Similarities.
Semi-Supervised Similarity Preserving Co-Selection.
Aggregating Tree for Searching in Billion Scale High Dimensional Data.
Clustering Based on MultiView Diffusion Maps.
Regression on High-Dimensional Inputs.
Topic Extraction Method from Millions of Tweets Based on Fast Feature Selection Technique CWC.
An Empirical Analysis of Hubness in Unsupervised Distance-Based Outlier Detection.
Random Projection Clustering on Streaming Data.
Mining Effective Subsequences with Application in Marketing Attribution.
Steady Patterns.
Knowledge Representation Learning via Dynamic Relation Spaces.
WEFEST: Word Embedding Feature Extension for Short Text Classification.
Relative Label Encoding for the Prediction of Airline Passenger Nationality.
Tracking Language Mobility in the Twitter Landscape.
Designing Sketches for Similarity Filtering.
Score Look-Alike Audiences.
Selecting the Top-k Discriminative Features Using Principal Component Analysis.
Will I Get in? Modeling the Graduate Admission Process for American Universities.
Tovel: Distributed Graph Clustering for Word Sense Disambiguation.
Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations.
Finding Large Matchings in Semi-Streaming.
Visual Context Learning with Big Data Analytics.
Multiscale Analysis of Supply Network at Central Region in Japan.
Domain Driven Forecasting: Applying Theory Into Practice.
Feature Selection in Environments with Limited Voluntary Information Sharing.
Activity Detection from Email Meta-Data Clustering.
Interactive Independent Topic Analysis for Service.
Data Mining Based Product Marketing Technique for Banking Products.
Personal Identification with Face and Voice Features Extracted through Kinect Sensor.
Website Classification Using Latent Dirichlet Allocation and Its Application for Internet Advertising.
A Deep Learning Approach for the Prediction of Retail Store Sales.
Temporal Data Mining on the Stay Time of Outpatients and Treatment Processes.
A Novel Method for Assessing Event Impacts on Event-Driven Time Series.
Risk-Aware Dynamic Reserve Prices of Programmatic Guarantee in Display Advertising.
Sequence-to-Sequence Model with Attention for Time Series Classification.
Robust Automated Human Activity Recognition and Its Application to Sleep Research.
Stereotypical Motor Movement Detection in Dynamic Feature Space.
Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.
Online Semi-Supervised Multi-task Distance Metric Learning.
Real-Time Top-View People Counting Based on a Kinect and NVIDIA Jetson TK1 Integrated Platform.
Gender Classification by Deep Learning on Millions of Weakly Labelled Images.
Link Prediction in the Twitter Mention Network: Impacts of Local Structure and Similarity of Interest.
Weakly Supervised Hand Pose Recovery with Domain Adaptation by Low-Rank Alignment.
Structural Patterns in the Rise of Germany's New Right on Facebook.
Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum.
Leave or Remain? Deciphering Brexit Deliberations on Twitter.
Analysing Political Opinions Using Redescription Mining.
Incremental Time Series Prediction Using Error-Driven Informed Adaptation.
Structural Combination of Neural Network Models.
Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis.
Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms.
Application of Fuzzy C-Means for Proactive Clustering of Electrical Power Systems.
Scalable and Distributed Sea Port Operational Areas Estimation from AIS Data.
On the Interest of Data Mining for an Integrity Assessment of AIS Messages.
Mining Vessel Tracking Data for Maritime Domain Applications.
Toward Representation Independent Analytics over Structured Data.
Mining the Dark Web: Drugs and Fake Ids.
Using Machine Learning to Accelerate Data Wrangling.
Authenticating Web User's Identity through Browsing Sequences Modeling.
EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps.
Correlation-Based Streaming Anomaly Detection in Cyber-Security.
Detection of Cyber-Physical Faults and Intrusions from Physical Correlations.
Learning a Secure Classifier against Evasion Attack.
The Time-Varying Dependency Patterns of NetFlow Statistics.
Adaptive Threshold Selection for Trust-Based Detection Systems.
One-Class SVM with Privileged Information and Its Application to Malware Detection.
Uncertainty Aware Clustering for Behaviour in Enterprise Networks.
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression.
Applying Conditional Independence Maps to Improve Sepsis Prognosis.
Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue.
Medical Image Denoising Using Convolutional Denoising Autoencoders.
Construction of a Semi-Naive Model to Predict Early Readmission of COPD Patients by Using Quality Care Information.
A Probabilistic Address Parser Using Conditional Random Fields and Stochastic Regular Grammar.
Randomized Response and Balanced Bloom Filters for Privacy Preserving Record Linkage.
Integrated Analysis of Research Publications and Patents for Strategic Decision Making.
Cluster-Based Sorted Neighborhood for Efficient Duplicate Detection.
Holistic Entity Clustering for Linked Data.
Historical Data Integration a Study of WWI Canadian Soldiers.
Towards Information Profiling: Data Lake Content Metadata Management.
Stick Must Fall: Using Machine Learning to Predict Human Error in Virtual Balancing Task.
Towards Data-Driven Football Player Assessment.
Characterization of In-season Elite Football Trainings by GPS Features: The Identity Card of a Short-Term Football Training Cycle.
Football Market Strategies: Think Locally, Trade Globally.
Competition-Wide Evaluation of Individual and Team Movements in Soccer.
From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data.
Predicting User Roles in Social Networks Using Transfer Learning with Feature Transformation.
Knowledge Graph Constraints for Multi-label Graph Classification.
Finding Heaviest k-Subgraphs and Events in Social Media.
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions.
Text Network Exploration via Heterogeneous Web of Topics.
Vertex Centric Asynchronous Belief Propagation Algorithm for Large-Scale Graphs.
Query-Based Evolutionary Graph Cuboid Outlier Detection.
Overlapping Community Detection by Local Decentralised Vertex-Centred Process.
Inference of Partial Canonical Correlation Networks with Application to Stock Market Portfolio Selection.
Segmenting Sequences of Node-Labeled Graphs.
Event Detection for Urban Dynamic Data Streams.
Distributed Mining and Modeling of Dynamic Lead-Lag Relations in Evolving Entities.
Scalable Online-Offline Stream Clustering in Apache Spark.
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence.
Discovering Multi-type Correlated Events with Time Series for Exception Detection of Complex Systems.
A Probabilistic View of Neighborhood-Based Recommendation Methods.
Parallelized Frequent Item Set Mining Using a Tall and Skinny Matrix.
Database Integrated Analytics Using R: Initial Experiences with SQL-Server + R.
