NDLI: Privacy Violations Using Microtargeted Ads: A Case Study

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2015 IEEE International Conference on Data Mining Workshop (ICDMW)

2014 IEEE International Conference on Data Mining Workshop

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

Table of Contents

Message from the Workshop Co-chairs

Workshop Program Committee

Preface to the Fourth International Workshop on Mining Multiple Information Sources

Preface to the Second Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts

Preface to the International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms

Preface to the International Workshop on Spatial and Spatio-temporal Data Mining

Preface to Social Interactions Analysis and Services Providers Workshop

Introduction to the Second IEEE International Workshop on Privacy Aspects of Data Mining

Preface to the Third International Workshop on Semantic Aspects in Data Mining

Preface to Biological Data Mining and its Applications in Healthcare

Preface to the Fifth International Workshop on Chance Discovery

Introduction to Reliability Issues in Knowledge Discovery

Introduction to the Fourth International Workshop on Domain Driven Data Mining

Preface to Data Mining for Services Workshop

W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks

Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance

Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach

PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification

Differential Analysis on Deep Web Data Sources

Learning a Combination of Dissimilarities from a Set of Equivalence Constraints

A Triple-Random Ensemble Classification Method for Mining Multi-label Data

Learning Document Labels from Enriched Click Graphs

Multiple Feature-Based Classifier and Its Application to Image Classification

CUBS: Multivariate Sequence Classification Using Bounded Z-score with Sampling

Event Data Mining and Classification from Multiple Streaming Sources

Distributed Classification on Peers with Variable Data Spaces and Distributions

Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques

A New Data Mining Model for Hurricane Intensity Prediction

Mining Spatial Co-occurrence of Drought Events from Climate Data of India

Data Analysis in Los Angeles Long Beach with Seasonal Time Series Model

On Finding Similar Items in a Stream of Transactions

Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation

Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets

Challenges in Scheduling Aggregation in Cyberphysical Information Processing Systems

Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce

dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets

S4: Distributed Stream Computing Platform

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates

Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware

Putting Pixels in Place: A Storage Layout Language for Scientific Data

Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data

Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments

Learning Maximum Lag for Grouped Graphical Granger Models

Using Self-Organizing Map and Heuristics to Identify Small Statistical Areas Based on Household Socio-Economic Indicators in Turkey's Address Based Population Register System

Computing Popular Places Using Graphics Processors

Sample Bias due to Missing Data in Mobility Surveys

Spatio-Temporal Symbolization of Multidimensional Time Series

Curvature Maxima-based Trajectories Mining

A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results

Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images

Measuring Similarity for Multidimensional Sequences

Towards Community Discovery in Signed Collaborative Interaction Networks

Catching a Viral Video

Improving Matching Process in Social Network

Extracting Representative Tags for Flickr Users

Detecting and Tracking Community Dynamics in Evolutionary Networks

The Meme Ranking Problem: Maximizing Microblogging Virality

Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks

Modeling the Temporal Dynamics of Social Rating Networks Using Bidirectional Effects of Social Relations and Rating Patterns

A Social Matching System for an Online Dating Network: A Preliminary Study

RnR: Extracting Rationale from Online Reviews and Ratings

Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations

Toward Finding Hidden Communities Based on User Profile

A Visual Analytics Tool for Analysing Microarray Data

Analysing the Large-Scale, Time-Oriented, VAST 2010 MC2 Dataset with PRISMA

Evolving Ensemble-Clustering to a Feedback-Driven Process

Visually Controllable Data Mining Methods

User-Based Active Learning

SIMPLE: Interactive Analytics on Patent Data

High-Dimensional Multimodal Distribution Embedding

BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis

Language-Based Enforcement of Access Constraints on Geoscientific Image Data

Identifying and Preventing Data Leakage in Multi-relational Classification

On Attribute Disclosure in Randomization Based Privacy Preserving Data Publishing

Privacy Violations Using Microtargeted Ads: A Case Study

Frequent Closed Itemset Mining with Privacy Preserving for Distributed Databases

Anonymizing Graphs Against Weight-Based Attacks

A Privacy Preserving Framework for Gaussian Mixture Models

Identifying Similar Neighborhood Structures in Private Social Networks

Geospatial Schema Matching with High-Quality Cluster Assurance and Location Mining from Social Network

Semantic Content Filtering with Wikipedia and Ontologies

From Pattern Discovery to Pattern Interpretation in Movement Data

Incorporating Multi-partite Networks and Expertise to Construct Related-Term Graphs

Analysis of Collaborative Writing Processes Using Hidden Markov Models and Semantic Heuristics

Using Ontology and Sequence Information for Extracting Behavior Patterns from Web Navigation Logs

Variable Productivity Adjustment Estimation for Function Point Project Delivery

Graphics Classification for Enterprise Knowledge Management

Efficient Rule Generation for Dominant Class Problems on LARM

Application of Data Mining for Anti-money Laundering Detection: A Case Study

Empirical Analysis: News Impact on Stock Prices Based on News Density

Sales Forecasting of IT Products Using a Hybrid MARS and SVR Model

Unsupervised DRG Upcoding Detection in Healthcare Databases

Mining Heterogeneous ADS-B Data Sets for Probabilistic Models of Pilot Behavior

Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia

Visual Predictions of Currency Crises Using Self-Organizing Maps

Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques

Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation

Quantum Path Integral Inspired Query Sequence Suggestion for User Search Task Simplification

Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees

System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu

The Multiple Alignment Algorithm for Metabolic Pathways without Abstraction

Fixed-Parameter Tractable Combinatorial Algorithms for Metabolic Networks Alignments

Efficient Alignments of Metabolic Networks with Bounded Treewidth

Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining

A Sequence Data Mining Protocol to Identify Best Representative Sequence for Protein Domain Families

Parametric Templates: A New Enzyme Active-Site Prediction Algorithm

Overcoming the Curse of Dimensionality in a Statistical Geometry Based Computational Protein Mutagenesis

Interaction as an Interestingness Measure

Is Topotecan Effective at Killing Cancer Cells?

Cost-Sensitive Feature Selection Based on the Set Covering Machine

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain

Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition

Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions

An Empirical Comparison of Platt Calibration and Inductive Confidence Machines for Predictions in Drug Discovery

FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets

An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis

Curation in Chance Discovery

Text Categorization with Considering Temporal Patterns of Term Usages

Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations

Innovators Marketplace as Game on the Table versus Board on the Web

Finding Rare Patterns with Weak Correlation Constraint

Temporal Logic TL ^Z_ {DU} Modeling Local and Global Discovery with Logical Uncertainty

Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing

Change with Delayed Labeling: When is it Detectable?

Towards a Reliable Framework of Uncertainty-Based Group Decision Support System

A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences

Co-occurrence based predictors for estimating query difficulty

Batch Mode Sparse Active Learning

Towards the Detection of Potential Contradictions in Fuzzy Ontology Using a High Level Net Approach Integrated with Uncertainty Inference

Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes

Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling

Semantic Image Retrieval Based on Multiple-Instance Learning

Link Prediction Across Multiple Social Networks

Controlling Consistency in Top-N Recommender Systems

Evaluating Association Rules by Quantitative Pairwise Property Comparisons

Trading Tests of Long-Term Market Forecast by Text Mining

Network Anomaly Detection Using a Commute Distance Based Approach

Vote-Based LELC for Positive and Unlabeled Textual Data Streams

Domain-Driven Data Mining for IT Infrastructure Support

Insights from Applying Sequential Pattern Mining to E-commerce Click Stream Data

Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly

Contextual Sequential Pattern Mining

Using Taxonomies to Perform Aggregated Querying over Imprecise Data

Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs)

Agent Assignment for Process Management: Agent Performance Evaluation Framework

The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles

Learning with Actionable Attributes: Attention -- Boundary Cases!

Large-Scale Customized Models for Advertisers

Knowledge File System -- A Principled Approach to Personal Information Management

Automated Prompting in a Smart Home Environment

Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce

Interesting Subset Discovery and Its Application on Service Processes

Discovering Temporal Features and Relations of Activity Patterns

Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management

Infrequent Purchased Product Recommendation Making Based on User Behaviour and Opinions in E-commerce Sites

The PARIS Algorithm for Determining Latent Topics

A Block Mixture Model for Pattern Discovery in Preference Data

Mining Arabic Business Reviews

Sentence-Level and Document-Level Sentiment Mining for Arabic Texts

High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection

Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems

A Framework for Emotion Mining from Text in Online Social Networks

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System

Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors

XML Documents Clustering Using Tensor Space Model -- A Preliminary Study

Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees

Find Intelligent Knowledge by Second-Order Mining: Three Cases from China

Semi-supervised PLSA for Document Clustering

Cluster Cores and Modularity Maximization

Reviewer Profiling Using Sparse Matrix Regression

Distributed Flow Algorithms for Scalable Similarity Visualization

Efficient Additive Models via the Generalized Lasso

A Comparison of Objective Functions in Network Community Detection

Large-Scale Matrix Factorization Using MapReduce

Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering

Integer Programming for Multi-class Active Learning

ALPOS: A Machine Learning Approach for Analyzing Microblogging Data

A Novel Ranking Algorithm for Service Matching Based on Agent Association Graphs

From Convex to Nonconvex: A Loss Function Analysis for Binary Classification

Subspace Distance-Based Sampling Method for SVM

Sliding HyperLogLog: Estimating Cardinality in a Data Stream over a Sliding Window

Using Adaptive Downsampling to Compare Time Series with Warping

Multi-step Time Series Prediction in Complex Instrumented Domains

dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution

EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs

Enhancing Ubiquitous Systems through System Call Mining

Parallelized Boosting with Map-Reduce

A Convex Combination of Models for Predicting Road Traffic

Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow

Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests

Ensemble-Based Method for Task 2: Predicting Traffic Jam

IEEE ICDM 2010 Contest: Traffic Prediction -- Jams

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report

IEEE ICDM 2010 Contest: TomTom Traffic Prediction for Intelligent GPS Navigation

Meerkat: Community Mining with Dynamic Social Networks

Clutter-Adaptive Visualization for Mobile Data Mining

Data Prediction Competitions -- Far More than Just a Bit of Fun

MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions

Targeting Television Audiences Using Demographic Similarity

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

i-Analyst: An Agent-Based Distributed Data Mining Platform

Enhancing Document Exploration with OLAP

QueRIE: A Query Recommender System Supporting Interactive Database Exploration

uRule: A Rule-Based Classification System for Uncertain Data

Adaptive Multimedia Mining on Distributed Stream Processing Systems

Publisher Information

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)

Privacy Violations Using Microtargeted Ads: A Case Study

Content Provider	IEEE Xplore Digital Library
Author	Korolova, A.
Copyright Year	2010
Abstract	In this paper we propose a new class of attacks that exploit advertising systems offering micro targeting capabilities in order to breach user privacy. We study the advertising system offered by the world's largest online social network, Face book, and the risks that the design of the system poses to the privacy of its users. We propose, describe and provide experimental evidence of several novel approaches to exploiting the advertising system in order to obtain private user information. We communicated our findings to Face book on July 13, 2010, and received a prompt response. On July 20, 2010, Face book launched a change to their advertising system that made the kind of attacks we describe more difficult but not impossible to implement.
Starting Page	474
Ending Page	482
File Size	315586
Page Count	9
File Format	PDF
ISBN	9781424492442
DOI	10.1109/ICDMW.2010.137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-13
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Privacy Data privacy Education social networks microtargeted advertising privacy Inference algorithms behavioral advertising Facebook Advertising
Content Type	Text
Resource Type	Article

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