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A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion

Document Type: Paper
Tags: GDA, Testing, Link Analysis, Efficient Statistical Algorithms, Applications

Link data, consisting of a collection of subsets of entities, can be an important source of information for a variety of fields including the social sciences, biology, criminology, and business intelligence. However, these links may be incomplete, containing one or more unknown members. We consi...

Alias Detection in Link Data Sets

Document Type: Paper
Tags: Link Analysis, Applications, Active Learning

The problem of detecting aliases - multiple text string identifiers corresponding to the same entity - is increasingly important in the domains of biology, intelligence, marketing, and geoinformatics. This report investigates the extent to which probabilistic methods can help. Aliases arise from...

Alias Detection in Link Data Sets

Document Type: Paper
Tags: Link Analysis, Applications, Active Learning

The problem of detecting aliases - multiple text string identifiers corresponding to the same entity - is increasingly important in the domains of biology, intelligence, marketing, and geoinformatics. Aliases arise from entities who are trying to hide their identities, from a person with multipl...

Andrew Moore

Document Type: Person
Tags: Link Analysis, Auton Fast Classifiers, Statistical Data Mining for Astrophysics, Cached Sufficient Statistics, Efficient Statistical Algorithms, Spatial Statistics, Life Science Data Mining, Logistic Regression, Locally Weighted Learning, GDA, AD-trees, Bayesian Networks, Kernel Density Estimation, Kd-trees and Ball-trees, Mixture Models, WSARE, Reinforcement Learning, Active Learning, Markov Decision Processes, K Nearest Neighbor, Astrostatistics, Clustering, Memory-based Learning, Biosurveillance, Applications, Optimization, Association Rules

Andrew began his career writing video-games for an obscure British personal computer. He rapidly became a thousandaire and retired to academia, where he received a PhD from the University of Cambridge in 1991. He researched robot learning as a Post-doc working with Chris Atkeson, and then moved ...

Anna Goldenberg

Document Type: Person
Tags: GDA, Biosurveillance, Link Analysis, Bayesian Networks

Voronezh (Russia) (17) -> Louisville, KY (4) -> CMU (1) -> Bell Labs (.9) -> CMU

Artur Dubrawski

Document Type: Person
Tags: GDA, Biosurveillance, Memory-based Learning, Mixture Models, Applications, Optimization, Association Rules, Locally Weighted Learning, Active Learning, Food Safety, Link Analysis, Social Networks, Dynamic Social Networks, Health of Equipment, Nuclear Safety

Artur Dubrawski considers himself a scientist and a practitioner. He has been tainted with real world entrepreneurial experiences. He had started up a successful company specializing in integration and deployment of advanced control systems and technological devices. He had also been affiliated ...

cGraph

Document Type: Software
Tags: Link Analysis

Jeremy Kubica Andrew Moore Jeff Schneider

cGraph: A Fast Graph-Based Method for Link Analysis and Queries

Document Type: Paper
Tags: Link Analysis, Applications

Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of entities. However, much of this work assumes that this underlying structure is known or can easily be inferred from d...

Daniel Neill

Document Type: Person
Tags: Biosurveillance, Link Analysis, Clustering, Efficient Statistical Algorithms, Kd-trees and Ball-trees, Spatial Statistics

My main research interests are statistical machine learning and game theory. I am currently working on fast methods for detecting spatial overdensities (for example, clusters of disease cases).

Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities

Document Type: Paper
Tags: Food Safety, Link Analysis, Dynamic Social Networks

Salmonella is among the most common food borne illnesses which may result from consumption of contaminated products. In this paper we model the co-occurrence data between USDA-controlled food processing establishments and various strains of Salmonella (serotypes) as a network which evolves over ...