NDLI: Joint Visual and Textual Mining on Social Media

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2015 IEEE International Conference on Data Mining Workshop (ICDMW)

2014 IEEE International Conference on Data Mining Workshop

Table of Contents

Message from the Conference Chairs

Message from the Workshop Co-Chairs

Preface to OEDM 2014

Preface to BioDM 2014

Preface to DDDM 2014

Preface to DMS 2014

Preface to SENTIRE 2014

Preface to MoDAT 2014

Preface to DaMNet 2014

Preface to HDM 2014

Preface to IClaNov 2014

Preface to DMBIH 2014

Preface to BASNA 2014

Preface to SoftwareMining-2014

Preface to IDP 2014

Preface to DMMI 2014

Preface to SDA 2014

Preface to DINA 2014

Preface to SBDMV 2014

Spatio-Temporal Trajectory Region-of-Interest Mining Using Delaunay Triangulation

Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data

Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results

Dynamic Time Warping Based on Cubic Spline Interpolation for Time Series Data Mining

Why Checkins: Exploring User Motivation on Location Based Social Networks

Directional Higher Order Information for Spatio-Temporal Trajectory Dataset

Context-Aware Online Spatiotemporal Traffic Prediction

Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs

Measuring and Predicting Systemic Risk in the Chinese Banking System

A Hierarchy Method Based on LDA and SVM for News Classification

Deep Twin Support Vector Machine

Proximal Classifier via Absolute Value Inequalities

An Optimal Approach for Pruning Annular Regularized Extreme Learning Machines

Misclassification Minimization Based on Multiple Criteria Linear Programming

Biased Support Vector Machine with Self-Constructed Universum for PU Learning

Active Learning with Nonparallel Support Vector Machine for Binary Classification

Latent Factor SVM for Text Categorization

Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients

Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data

Text Mining for Hypotheses and Results in Translational Medicine Studies

Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei

Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel

A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors

Analysis and Real-Time Prediction of Local Incident Impact on Transportation Networks

NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems

Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects

Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance

Moneyball for Academia: Toward Measuring and Maximizing Faculty Performance and Impact

A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature

Popular Items or Niche Items: Flexible Recommendation Using Cosine Patterns

Clustering Ensemble and Application in HST Dataset

Mining Cursor Motions to Find the Gender, Experience, and Feelings of Computer Users

Statistical and Machine Learning Approach to Assessing the Environmental Impact on Walking Patterns

Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network

Discovering Organizational Correlations from Twitter

Automatic Learning Common Definitional Patterns from Multi-domain Wikipedia Pages

Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification

Text Feature Selection Based on Class Subspace

Understanding Changes in Customer Purchase Behavior: Study of Attenuation Model for Multiparametric Purchase Preferences

Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR

Data Mining-Based Service Quality Estimation in Hospital Information System

A Comparison of Algorithms for TV Ad Targeting

Examination of Reliability of Missing Value Recovery in Data Mining

Visual Exploration of a Series of Academic Conferences

Configurable Analytics Framework for Management of Enterprise IT Systems

Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases

Personalising Mobile Advertising Based on Users' Installed Apps

An Incremental Tensor Factorization Approach for Web Service Recommendation

A Hybrid Approach for Emotion Detection in Support of Affective Interaction

Commonsense Knowledge as the Glue in a Hybrid Model of Computational Creativity

Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems

Cyberbullying Detection using Time Series Modeling

Emotion Recognition from Text Based on Automatically Generated Rules

Semi-Supervised Method for Multi-category Emotion Recognition in Tweets

A Localization Toolkit for Sentic Net

Towards Summarizing Popular Information from Massive Tourism Blogs

Joint Propagation and Refinement for Mining Opinion Words and Targets

A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams

Abduction Dealing with Potential Values and Its Datasets

Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness

Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis

A Narrative Analysis by Text Mining Technique Using Key Graph: Similarity and Difference of a View of Oral Health and Oral Risk Cognition between Japanese Living People and Dentists

A System Design Method Based on Interaction between Logic and Data Sets

Creating Essential Hypothesis and Rules in Product Planning -- Introducing Abductive Inference Model

Exploring Markets of Data for Personal Health Information

Domain-Independent Unsupervised Text Segmentation for Data Management

Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks

Adaptability of Dynamic Quality Function Deployment to the Concept Design of Electric Trucks: An Attempt to Knowledge Management and Data Engineering

A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data

Introduction of Search Engine Focusing on Trend-Related Queries to Market of Data

Quick Mining of Isomorphic Exact Large Patterns from Large Graphs

Online Fusion of Incremental Learning for Wireless Sensor Networks

EgoLP: Fast and Distributed Community Detection in Billion-Node Social Networks

Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment

A Link Prediction Method That Can Learn from Network Dynamics

Threatening Privacy across Social Graphs: A Structural Features Approach

Identify Influential Social Network Spreaders

R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment

Defensibility-Based Classification for Argument Mining

Privacy-Preserving Queries over Outsourced Data with Access Pattern Protection

Community Detection on Large Graph Datasets for Recommender Systems

Expander Graph Quality Optimisation in Randomised Communication

Node-Specific Triad Pattern Mining for Complex-Network Analysis

Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations

SUBSCALE: Fast and Scalable Subspace Clustering for High Dimensional Data

Out-of-Sample Error Estimation: The Blessing of High Dimensionality

Who Wrote This? Textual Modeling with Authorship Attribution in Big Data

Two approaches of using heavy tails in high dimensional EDA

High Dimensional Matrix Relevance Learning

Dimensionality Reduction Based Similarity Visualization for Neural Gas

Boosting for Vote Learning in High-Dimensional kNN Classification

Adaptive Semi-Supervised Dimensionality Reduction

Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

Merging Classifiers of Different Classification Approaches

Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams

Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy

Mining Top-K Frequent Closed Patterns from Gene Expression Data

Rough-Set-Based ADR Signaling from Spontaneous Reporting Data with Missing Values

GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing

Imputation of Missing Values in Time Series with Lagged Correlations

Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data

Towards Achieving Diagnostic Consensus in Medical Image Interpretation

An Improved Collaborative Method for Recommendation and Rating Prediction

A Business Intelligence Solution for Frequent Pattern Mining on Social Networks

NaviSoc: A Socially Enhanced Real-Time Navigator

Multiple Subscriber-Identity-Module Detection Using Social Network Analysis Techniques

Email Analytics for Support Center Performance Analysis

A Scalable Algorithm for Discovering Topologies in Social Networks

Software Process Simulation Based on Mining Software Repositories

Ontology-Based Software Requirements Reuse: Case Study in Fire Control Software Product Line Domain

Taming a Fuzzer Using Delta Debugging Trails

A Comparison of Approaches to Chinese Word Segmentation in Hadoop

What Makes an Open Source Code Popular on Git Hub?

Medical Error Prevention Based on Path Integration System Approach

Illumination Invariant Face Recognition with Particle Swarm Optimization

An Effective Clustering Algorithm for Auto-Detecting Well-Separated Clusters

An Extenics-Based Criteria Clustering Method

Accelerated Online Learning for Collaborative Filtering and Recommender Systems

Query Hidden Attributes in Social Networks

Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization

A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees

An Efficient Algorithm for Finding Continuous Coherent Evolution Bicluster in Time-Series Data

Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation

Clustering and Classification of Like-Minded People from their Tweets

Chinese Microblog Sentiment Classification Based on Deep Belief Nets with Extended Multi-Modality Features

Estimating Online User Location Distribution without GPS Location

Cost-Effective User Monitoring for Popularity Prediction of Online User-Generated Content

A Retweet Number Prediction Model Based on Followers' Retweet Intention and Influence

Blood Vessel Segmentation in Pathological Retinal Image

Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy

Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance

Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images

A Novel Time-Frequency Analysis Approach for Nonstationary Time Series Using Multiresolution Wavelet

Combining Multiple Network Features for Mild Cognitive Impairment Classification

Recommender Systems Using Harmonic Analysis

Topical Influential User Analysis with Relationship Strength Estimation in Twitter

Semantic Features for Food Image Recognition with Geo-Constraints

The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks

A Further Investigation on the Reliability of Extreme Learning Machines

DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds

Parallel Frequent Pattern Mining without Candidate Generation on GPUs

A New Fast Minimum Spanning Tree-Based Clustering Technique

HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data

Analytics-Enabled Disaster Preparedness and Emergency Management

Integration and Automation of Data Preparation and Data Mining

Comparing Classifiers in Historical Census Linkage

Semi-Supervised Consensus Clustering: Reducing Human Effort

Iteratively Learning Conditional Statements in Transforming Data by Example

Video Retrieval Methods Using Geographic Information in Windows Azure Cloud

A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories

Estimating the Distribution of Economy Activity: A Case Study in Jiangsu Province (China) Using Large Scale Social Network Data

A Novel Disparity Refinement Method Based on Semi-Global Matching Algorithm

Real-time Dynamic Visualization Techniques for Massive Geospatial Data

Discretizing Numerical Attributes in Decision Tree for Big Data Analysis

Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines

Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data

Efficient and Accelerated Online Learning for Sparse Group Lasso

Sequential Pattern Analysis with Right Granularity

Clinical Decision Making: A Framework for Predicting Rx Response

Joint Visual and Textual Mining on Social Media

Fuzzy Sentiment Membership Determining for Sentiment Classification

Big Data Stream Learning with SAMOA

RQL: A SQL-Like Query Language for Discovering Meaningful Rules

Trip Router: A Time-Sensitive Route Recommender System

Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media

Finding Valuable Yelp Comments by Personality, Content, Geo, and Anomaly Analysis

Pathway-Finder: An Interactive Recommender System for Supporting Personalized Care Pathways

Visual-VM: A Social Network Visualization Tool for Viral Marketing

HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs

e2-Diagnoser: A System for Monitoring, Forecasting and Diagnosing Energy Usage

Smart Saver: A Consumer-Oriented Web Service for Energy Disaggregation

Web Service QoS Prediction Approach in Mobile Internet Environments

Interoperability-Enriched App Recommendation

RepComment: A Fair Comment-Sentiment Representation System

LibEDM: A Platform for Ensemble Based Data Mining

A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays

2013 IEEE 13th International Conference on Data Mining Workshops

2012 IEEE 12th International Conference on Data Mining Workshops

2011 IEEE 11th International Conference on Data Mining Workshops

2010 IEEE International Conference on Data Mining Workshops

2009 IEEE International Conference on Data Mining Workshops

2008 IEEE International Conference on Data Mining Workshops

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)

Joint Visual and Textual Mining on Social Media

Content Provider	IEEE Xplore Digital Library
Author	Xu, Jia
Copyright Year	2014
Abstract	In modern social media, massive visual and textual data are collected and uploaded to social websites everyday. How to extract useful knowledge from such multiple modality data and organize it in an efficient way remains an important problem. The goal of this dissertation is to investigate joint visual and textual mining for social media data. My dissertation aims at contributing to our theoretical understanding on weakly supervised learning, as well as systematically building a visual and textual knowledgebase. This research focuses on three phases of investigation: 1)how textual data like tags help weakly supervised visual parsing, 2) how to build a large scale knowledge base by mapping visual and textual concepts on social media, 3) with such a knowledgebase, how can we interpret/organize social media data in a more reliable and effective way.
Starting Page	1189
Ending Page	1190
File Size	164170
Page Count	2
File Format	PDF
e-ISBN	9781479942749
DOI	10.1109/ICDMW.2014.114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Conferences Knowledge based systems Semantics Media Weakly Supervised Learning Video Summarization Mining Text Data mining Joints Multimedia Data Visual Parsing
Content Type	Text
Resource Type	Article

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