NDLI: An L-infinity Norm Visual Classifier

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2015 IEEE International Conference on Data Mining

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2009 Ninth IEEE International Conference on Data Mining

Table of Contents

Message from the General Co-Chairs

Message from the Program Committee Co-Chairs

Program Committee

Steering Committee

ICDM 2009 Program

Explore/Exploit Schemes for Web Content Optimization

Connecting Sparsely Distributed Similar Bloggers

Rule Ensembles for Multi-target Regression

A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks

Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering

Audio Classification of Bird Species: A Statistical Manifold Approach

Finding Associations and Computing Similarity via Biased Pair Sampling

Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model

Probabilistic Similarity Query on Dimension Incomplete Data

flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks

ν-Anomica: A Fast Support Vector Based Novelty Detection Technique

Temporal Neighborhood Discovery Using Markov Models

Active Learning with Generalized Queries

Conditional Models for Non-smooth Ranking Loss Functions

Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking

Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis

Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification

Accurate Estimation of the Degree Distribution of Private Networks

A Linear-Time Graph Kernel

GSML: A Unified Framework for Sparse Metric Learning

GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search

A Tree-Based Framework for Difference Summarization

TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging

PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations

Efficient Discovery of Frequent Correlated Subgraph Pairs

Self-Adaptive Anytime Stream Clustering

Improving SVM Classification on Imbalanced Data Sets in Distance Spaces

CoCoST: A Computational Cost Efficient Classifier

Semi-naive Exploitation of One-Dependence Estimators

A Framework for Computing the Privacy Scores of Users in Online Social Networks

Least Square Incremental Linear Discriminant Analysis

Unified Solution to Nonnegative Data Factorization Problems

Extended Boolean Matrix Decomposition

Active Learning with Adaptive Heterogeneous Ensembles

Non-negative Laplacian Embedding

Scalable Algorithms for Distribution Search

A Deep Non-linear Feature Mapping for Large-Margin kNN Classification

Finding Time Series Motifs in Disk-Resident Data

Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data

Stacked Gaussian Process Learning

Evaluating Statistical Tests for Within-Network Classifiers of Relational Data

Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis

Clustering Trajectories of Moving Objects in an Uncertain World

Semi-Supervised Sequence Labeling with Self-Learned Features

Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn Sensors

A Sparsification Approach for Temporal Graphical Model Decomposition

Resolving Identity Uncertainty with Learned Random Walks

Discriminative Mixed-Membership Models

Argumentation Based Constraint Acquisition

Extending Semi-supervised Learning Methods for Inductive Transfer Learning

iTopicModel: Information Network-Integrated Topic Modeling

Uncoverning Groups via Heterogeneous Interaction Analysis

Significance of Episodes Based on Minimal Windows

Convex Non-negative Matrix Factorization in the Wild

On K-Means Cluster Preservation Using Quantization Schemes

Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging

Extracting Output Metadata from Scientific Deep Web Data Sources

Semi-supervised Multi-task Learning with Task Regularizations

Fast Online Training of Ramp Loss Support Vector Machines

Mining Peculiarity Groups in Day-by-Day Behavioral Datasets

Online System Problem Detection by Mining Patterns of Console Logs

Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework

Peculiarity Analysis for Classifications

Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection

Mining Data Streams with Labeled and Unlabeled Training Examples

Maximum Margin Clustering with Multivariate Loss Function

Efficient Discovery of Confounders in Large Data Sets

Vague One-Class Learning for Data Streams

Inverse Time Dependency in Convex Regularized Learning

P-packSVM: Parallel Primal grAdient desCent Kernel SVM

An L-infinity Norm Visual Classifier

Outlier Detection Using Inductive Logic Programming

Joint Emotion-Topic Modeling for Social Affective Text Mining

Algorithms for Large, Sparse Network Alignment Problems

Dirichlet Mixture Allocation for Multiclass Document Collections Modeling

SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks

Effective Anomaly Detection in Sensor Networks Data Streams

Hierarchical Bayesian Models for Collaborative Tagging Systems

Efficient Algorithm for Computing Link-Based Similarity in Real World Networks

Fine-Grain Perturbation for Privacy Preserving Data Publishing

Accelerated Gradient Method for Multi-task Sparse Learning Problem

CoFKM: A Centralized Method for Multiple-View Clustering

Active Selection of Sensor Sites in Remote Sensing Applications

Large Scale Relation Acquisition Using Class Dependent Patterns

Finding Maximal Fully-Correlated Itemsets in Large Databases

Bayesian Overlapping Subspace Clustering

Unsupervised Relation Extraction by Massive Clustering

Regression Learning Vector Quantization

Projective Clustering Ensembles

Knowledge Discovery from Citation Networks

An Effective Approach to Inverse Frequent Set Mining

Parallel PathFinder Algorithms for Mining Structures from Graphs

A Bootstrap Approach to Eigenvalue Correction

Modeling Syntactic Structures of Topics with a Nested HMM-LDA

Redistricting Using Heuristic-Based Polygonal Clustering

A Walk from 2-Norm SVM to 1-Norm SVM

Semi-supervised Density-Based Clustering

VIF Regression: A Fast Regression Algorithm for Large Data

Sparse Norm-Regularized Reconstructive Coefficients Learning

A Contrast Pattern Based Clustering Quality Index for Categorical Data

Multi-document Summarization by Information Distance

On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining

Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning

A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters

Automatically Extracting Dialog Models from Conversation Transcripts

To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework

Analysis of Subsequence Time-Series Clustering Based on Moving Average

Permutation Tests for Studying Classifier Performance

Interaction-Based Clustering of Multivariate Time Series

PUB: A Class Description Technique Based on Partial Coverage of Subspace

Online and Batch Learning of Generalized Cosine Similarities

Discovering Organizational Structure in Dynamic Social Network

Kernel Conditional Quantile Estimation via Reduction Revisited

Naive Bayes Classification of Uncertain Data

Constraint-Based Pattern Mining in Dynamic Graphs

Global Slope Change Synopses for Measurement Maps

Aspect Guided Text Categorization with Unobserved Labels

A Fully Automated Method for Discovering Community Structures in High Dimensional Data

Hierarchical Probabilistic Segmentation of Discrete Events

Topic Modeling for Sequences of Temporal Activities

Combining Super-Structuring and Abstraction on Sequence Classification

A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions

Spatio-temporal Energy Based Gait Recognition

Feature Selection in the Tensor Product Feature Space

Topic Distributions over Links on Web

Clustering with Multiple Graphs

Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification

Maximum Margin Clustering on Data Manifolds

Discovering Contexts and Contextual Outliers Using Random Walks in Graphs

Effective Criterion Functions for Efficient Agglomerative Clustering on Very Large Networks

Binomial Matrix Factorization for Discrete Collaborative Filtering

Bi-relational Network Analysis Using a Fast Random Walk with Restart

A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical Data

Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis

Multirelational Topic Models

Learning Local Components to Understand Large Bayesian Networks

RING: An Integrated Method for Frequent Representative Subgraph Mining

A Cost-Effective LSH Filter for Fast Pairwise Mining

A New Kernel-Based Classification Algorithm

2008 Eighth IEEE International Conference on Data Mining

Seventh IEEE International Conference on Data Mining (ICDM 2007)

Sixth International Conference on Data Mining (ICDM'06)

Fifth IEEE International Conference on Data Mining (ICDM'05)

Fourth IEEE International Conference on Data Mining (ICDM'04)

Third IEEE International Conference on Data Mining

2002 IEEE International Conference on Data Mining, 2002. Proceedings.

Proceedings 2001 IEEE International Conference on Data Mining

An L-infinity Norm Visual Classifier

Content Provider	IEEE Xplore Digital Library
Author	Anand, A. Wilkinson, L. Dang Nhon Tuan
Copyright Year	2009
Abstract	We introduce a mathematical framework, based on the L-infinity norm distance metric, to describe human interactions in a visual data mining environment. We use the framework to build a classifier that involves an algebra on hyper-rectangles. Our classifier, called VisClassifier, generates set-wise rules from simple gestures in an exploratory visual GUI. Logging these rules allows us to apply our analysis to a new sample or batch of data so that we can assess the predictive power of our visual-processing motivated classifier. The accuracy of this classifier on widely-used benchmark datasets rivals the accuracy of competitive classifiers.
Starting Page	687
Ending Page	692
File Size	383833
Page Count	6
File Format	PDF
ISBN	9781424452422
ISSN	15504786
DOI	10.1109/ICDM.2009.119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Humans Classification algorithms Clustering algorithms Partitioning algorithms Algebra Graphical user interfaces Computer errors Machine learning Pattern recognition supervised classification Visual data mining
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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