icdm 2015 论文列表IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015. |
Learning to Rank for Cross-Device Identification.
AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics.
Cross-Device Tracking: Matching Devices and Cookies.
Multi-layer Classification: ICDM 2015 Drawbridge Cross-Device Connections Competition.
Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting.
Cross-Device Consumer Identification.
Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning.
Machine Learning Approach to Identify Users Across Their Digital Devices.
Mining Predictive Redescriptions with Trees.
CARSKit: A Java-Based Context-Aware Recommendation Engine.
Discovering Anomalies and Root Causes in Applications via Relevant Fields Analysis.
Cross-Site Virtual Social Network Construction.
UP-Miner: A Utility Pattern Mining Toolbox.
Influence Visualization of Scientific Paper through Flow-Based Citation Network Summarization.
Real-Time Crisis Mapping Using Language Distribution.
Automatically Generate a Flat Mining Table with Dataconda.
MERLIN - A Tool for Multi-party Privacy-Preserving Record Linkage.
TextServer: Cloud-Based Multilingual Natural Language Processing.
Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.
Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns.
Near Real-Time Service Monitoring Using High-Dimensional Time Series.
TeGViz: Distributed Tera-Scale Graph Generation and Visualization.
Large-Scale Unusual Time Series Detection.
A Discovery System for Finding High-Value Homes.
StreamDM: Advanced Data Mining in Spark Streaming.
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality.
Context Suggestion: Solutions and Challenges.
Multi-source Information Trustworthiness Analysis.
Reporting L Most Favorite Objects in Uncertain Databases with Probabilistic Reverse Top-k Queries.
Sentiment Analysis for Social Media Images.
Deep Learning for Image Retrieval: What Works and What Doesn't.
Enhancing Stock Price Prediction with a Hybrid Approach Based Extreme Learning Machine.
Contrast Pattern Based Methods for Visualizing and Predicting Spatiotemporal Events.
Revenue-Optimized Webpage Recommendation.
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data.
Understanding Deep Networks with Gradients.
Crowdsourcing Based API Search via Leveraging Twitter Lists Information.
Secure Learning and Mining in Adversarial Environments [Extended Abstract].
Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping.
Clustering Evolving Batch System Jobs for Online Anomaly Detection.
Enhancing Network Security by Software Vulnerability Detection Using Social Media Analysis Extended Abstract.
Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics.
Learning Spatial Decision Trees for Land Cover Mapping.
Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.
Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection.
Selecting Machine Learning Algorithms Using Regression Models.
Prediction of Long-Lead Heavy Precipitation Events Aided by Machine Learning.
Latent Graph Inference and Validation.
Accurate Classification of Biological Data Using Ensembles.
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR.
Specialist Experts for Prediction with Side Information.
Flood Prediction and Mining Influential Spatial Features on Future Flood with Causal Discovery.
Extraction of Highly Correlated Temporal Event Cluster Recurrence from Spatiotemporal Data.
Geographically Robust Hotspot Detection: A Summary of Results.
Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics.
Unsupervised Spatial Data Mining for Smart Homes.
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases.
Classification of Temporal and Sequential Data Using Bag-of-Subsequences Features.
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis.
Towards Automatic Pharmacovigilance: Analysing Patient Reviews and Sentiment on Oncological Drugs.
Optimizing the Popularity of Twitter Messages through User Categories.
Distributed Representations for Content-Based and Personalized Tag Recommendation.
Home Location Inference from Sparse and Noisy Data: Models and Applications.
Grandmaster: Interactive Text-Based Analytics of Social Media.
A Novel Approach for Generating Personalized Mention List on Micro-Blogging System.
Towards Personalizing Classical Music Recommendations.
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?
OLLDA: A Supervised and Dynamic Topic Mining Framework in Twitter.
Buzzer Detection and Sentiment Analysis for Predicting Presidential Election Results in a Twitter Nation.
Inferring User Interests on Social Media from Text and Images.
A Two-Stage Learning Method for Response Prediction.
A Multiple Classifier System for Classifying Life Events on Social Media.
Towards Domain-Independent Opinion Target Extraction.
An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis.
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports.
Lexical Resource for Medical Events: A Polarity Based Approach.
Improving Out-of-Domain Sentiment Polarity Classification Using Argumentation.
Exploiting the Focus of the Document for Enhanced Entities' Sentiment Relevance Detection.
OntoSeg: A Novel Approach to Text Segmentation Using Ontological Similarity.
Sentiment Polarity Classification Using Structural Features.
Mining Individual Mobile User Behavior on Location and Interests.
A Unified Framework for Painting Classification.
Matrix Plane Model: A Novel Measure of Word Co-occurrence and Application on Semantic Relatedness.
Music Mood Classification via Deep Belief Network.
Cross-Domain Recommendation via Tag Matrix Transfer.
Learning Semantic Similarity for Very Short Texts.
Finding Event Videos via Image Search Engine.
Incremental Discriminant Learning for Heterogeneous Domain Adaptation.
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering.
Adapting New Categories for Food Recognition with Deep Representation.
Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis.
Pedestrian Detection Using Privileged Information.
Large-Scale Linear Support Vector Ordinal Regression Solver.
Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines.
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.
Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis.
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data.
Automatic City Region Analysis for Urban Routing.
Location Prediction via Social Contents and Behaviors: Location-Aware Behavioral LDA.
Hospitality Exchange Services as a Source of Spatial and Social Data?
Beyond Sights: Large Scale Study of Tourists' Behavior Using Foursquare Data.
Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces.
Principal Component Analysis and Clustering Based Indoor Localizaion.
Observing Behaviors of Information Diffusion Models for Diverse Topics of Posts on VK.
Profit Maximization Analysis Based on Data Mining and the Exponential Retention Model Assumption with Respect to Customer Churn Problems.
Purchase Behavior Prediction in M-Commerce with an Optimized Sampling Methods.
Investigation of Simulated Annealing Cooling Schedule for Mobile Recommendations.
The Hierarchical Model to Ali Mobile Recommendation Competition.
Lifting the Predictability of Human Mobility on Activity Trajectories.
Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm.
Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce.
Impulse-Response Model for Human Behaviors Sequences.
A Method of Purchase Prediction Based on User Behavior Log.
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show.
Mining Spatial-Temporal Semantic Trajectory Patterns from Raw Trajectories.
Constructing Topic Hierarchies from Social Media Data.
Signed Directed Social Network Analysis Applied to Group Conflict.
Defending Suspected Users by Exploiting Specific Distance Metric in Collaborative Filtering Recommender Systems.
A Decision Support System for Crowd Control Using Agent-Based Modeling and Simulation.
A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network.
Sentiment-Based Identification of Radical Authors (SIRA).
Identifying Key-Players in Online Activist Groups on the Facebook Social Network.
Text Classification Models for Web Content Filtering and Online Safety.
Detecting Multipliers of Jihadism on Twitter.
Comparing SVD and SDAE for Analysis of Islamist Forum Postings.
Core Network Based Multi-label Classification in Large-Scale Social Network Environments.
Two Phase Based Spammer Detection in Weibo.
Joint Recovery and Representation Learning for Robust Correlation Estimation Based on Partially Observed Data.
Discovering Functional Communities in Social Media.
Analyzing the Transferability of Collective Inference Models Across Networks.
Dynamic Community Detection Algorithm Based on Incremental Identification.
Ranking-Based Multi-source Rating Aggregation with Social Contexts.
Topic Detection Based on User Intention.
Temporal Topic Inference for Trend Prediction.
Fast LMNN Algorithm through Random Sampling.
Pruned Simple Model Sets for Fast Exact Recovery of Image.
New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data.
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification.
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Finding Subspace Clusters Using Ranked Neighborhoods.
A Dirichlet Energy Criterion for Graph-Based Image Segmentation.
Paradigmatic Clustering for NLP.
Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis.
Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness.
The Navigation and Visualisation of Environmental Audio Using Zooming Spectrograms.
Sparse Coding for Efficient Bioacoustic Data Mining: Preliminary Application to Analysis of Whale Songs.
JMesh - A Scalable Web-Based Platform for Visualization and Mining of Passive Acoustic Data.
Data Mining Sound Archives: A New Scalable Algorithm for Parallel-Distributing Processing.
Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings.
Scattering Decomposition for Massive Signal Classification: From Theory to Fast Algorithm and Implementation with Validation on International Bioacoustic Benchmark.
Data Jacket Retrieval Based on Explicit Semantic Analysis.
Application of Applied KOTO-FRAME to the Five-Story Pagoda Aseismatic Mechanism.
Tangled String Diverted for Evaluating Stock Risks: A by Product of Innovators Marketplace on Data Jackets.
Knowledge-Based Circulation Growth Model: Applying a Data Marketplace to Concept Design.
Shikake Data Market for Collaborative Shikake Creation.
Extended Goal Graph: A Support Tool for Discovering Conflicts among Stakeholders and Promoting Requirements Elicitation with Goal Orientation.
Auctioning Data for Learning.
Estimating Contextual Relationships of Stakeholders in Scenarios Using DBpedia.
Extraction of Preference of Recipe Providers and Users on Recipe-Sharing Websites.
Proposal of LDA-Based Sentiment Visualization of Hotel Reviews.
The Role of Context in Abductive Reasoning and Context Retrieval from Clauses - Towards IMDJ.
OLAP Visual Analytics on Large Software Call Graphs with Hierarchical ChordMap.
Multi-sensor Visual Analytics Supported by Machine-Learning Models.
Geetika Sharma Gautam Shroff Aditeya Pandey Brijendra Singh Gunjan Sehgal Kaushal Paneri Puneet Agarwal
Fun in the Philippines: Automatic Identification and Sentiment Analysis of Tourism-Related Tweets.
Block-Organized Topology Visualization for Visual Exploration of Signed Networks.
Visual Opinion Analysis of Threaded Discussions.
Positive-Unlabeled Learning in the Face of Labeling Bias.
A Deep Embedding Model for Co-occurrence Learning.
LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours.
Order Selection of Autoregressive Processes Using Bridge Criterion.
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.
Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures.
Citation Prediction Using Diverse Features.
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images.
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.
FPGA-Accelerated Hadoop Cluster for Deep Learning Computations.
Abdulrahman Alhamali Nibal Salha Raghid Morcel Mazen Ezzeddine Omar Hamdan Haitham Akkary Hazem M. Hajj
A Study of Feature Selection of Magnetogram Complexity Features in an Imbalanced Solar Flare Prediction Data-Set.
Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation.
Email Engagement Segmentation Using Bipartite Graph Co-clustering.
Efficient and Time Scale-Invariant Detection of Correlated Activity in Communication Networks.
Dispersion Based Similarity for Mining Similar Papers in Citation Network.
Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition.
Mining Unstable Communities from Network Ensembles.
Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics.
StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices.
Link Prediction in Large Networks by Comparing the Global View of Nodes in the Network.
Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes.
A Content Analysis of Patient-Reported Medication Outcomes on Social Media.
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium.
Extensible Query Framework for Unstructured Medical Data - A Big Data Approach.
Laplacian SVM Based Feature Selection Improves Medical Event Reports Classification.
Affine and Regional Dynamic Time Warping.
Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control.
Next Generation of Journey Planner in a Smart City.
Valuating Queries for Data Trading in Modern Cities.
Estimating Taxi Demand-Supply Level Using Taxi Trajectory Data Stream.
Trajectory-Based Task Allocation for Reliable Mobile Crowd Sensing Systems.
A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used.
Emergence of Regularities in the Stochastic Behavior of Human.
Research Paper Recommendation Based on the Knowledge Gap.
Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine.
Adslot Mining for Online Display Ads.
Identifying Employees for Re-skilling Using an Analytics-Based Approach.
The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan.
Why do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion.
Applying Data Mining Techniques to Direct Marketing: Challenges and Solutions.
A Stochastic Game Theoretic Model for Expanding ATM Services.
J-Distance Discord: An Improved Time Series Discord Definition and Discovery Method.
Exploiting User Feedback for Expert Finding in Community Question Answering.
Adversarial Feature Selection.
Using and Improving Coding Guides for and by Automatic Coding of PISA Short Text Responses.
Including Content-Based Methods in Peer-Assessment of Open-Response Questions.
Education, Learning and Information Theory.
Identifying Students' Mechanistic Explanations in Textual Responses to Science Questions with Association Rule Mining.
Temporal Models for Predicting Student Dropout in Massive Open Online Courses.
Named Entity Disambiguation Leveraging Multi-aspect Information.
Multiresolution Mutual Information Method for Social Network Entity Resolution.
Building a National Perinatal Data Base without the Use of Unique Personal Identifiers.
Terra Populus: Integrated Data on Population and Environment.
Unsupervised Measuring of Entity Resolution Consistency.
Context-Aware Approximate String Matching for Large-Scale Real-Time Entity Resolution.
Methodology for Large-Scale Entity Resolution without Pairwise Matching.
Mining a Weighted Heterogeneous Network Extracted from Healthcare-Specific Social Media for Identifying Interactions between Drugs.
Exploiting Social Media with Tensor Decomposition for Pharmacovigilance.
Hierarchical Prescription Pattern Analysis with Symptom Labels.
Identifying Medical Terms Related to Specific Diseases.
Activity Recognition Using Wrist-Worn Sensors for Human Performance Evaluation.
Predicting Clinical Phenotype Using OTU-Based Metagenome Representation.
Toward Comprehensive Attribution of Healthcare Cost Changes.
Dmitriy A. Katz-Rogozhnikov Dennis Wei Gigi Y. Yuen-Reed Karthikeyan Natesan Ramamurthy Aleksandra Mojsilovic
Human Activity Recognition: From Controlled Lab Experiments to Competitive Live Evaluation.
An Enumerative Biclustering Algorithm for DNA Microarray Data.
Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries.
Robust Local Outlier Detection.
To Love or to Loathe: How is the World Reacting to China's Rise?
Fast Keypoint Reduction for Image Retrieval by Accelerated Diverse Density Computation.
Cross-Dataset Validation of Feature Sets in Musical Instrument Classification.
Generalized Learning of Neural Network Based Semantic Similarity Models and Its Application in Movie Search.
Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering.
Population Behavior Analysis of Chinese University Students via Digital Campus Cards.
Exploiting Class Bias for Discovery of Topical Experts in Social Media.
Twitter Fingerprints as Active Authenticators.
Examining Botnet Behaviors for Propaganda Dissemination: A Case Study of ISIL's Beheading Videos-Based Propaganda.
A Human-Machine Collaborative System for Identifying Rumors on Twitter.
Outlier Detection and Trend Detection: Two Sides of the Same Coin.
Toponym Recognition in Social Media for Estimating the Location of Events.
Newsworthy Rumor Events: A Case Study of Twitter.
Correlation of Brand Mentions in Social Media and Web Searching Before and After Real Life Events: Phase Analysis of Social Media and Search Data for Super Bowl 2015 Commercials.
Fast Community Discovery and Its Evolution Tracking in Time-Evolving Social Networks.
Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique.
Automatic Visual Analysis of Real-World Events Covered By Social Media Using Convolutional Neural Networks.