Shopping Cart | Login | Register | Language: English

Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice

Copyright © 2008. 36 pages.
OnDemand Chapter PDF Download
Download link provided immediately after order completion
$30.00
List Price: $37.50
Current Promotions:
20% Online Bookstore Discount*
Available. Instant access upon order completion.
DOI: 10.4018/978-1-59904-162-9.ch011|
Cite Chapter

MLA

Joutard, Cyrille J., Edoardo M. Airoldi, Stephen E. Edoardo M. and Tanzy M. Love. "Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice." Data Mining Patterns: New Methods and Applications. IGI Global, 2008. 240-275. Web. 21 Dec. 2014. doi:10.4018/978-1-59904-162-9.ch011

APA

Joutard, C. J., Airoldi, E. M., Edoardo M., S. E., & Love, T. M. (2008). Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice. In P. Poncelet, F. Masseglia, & M. Teisseire (Eds.) Data Mining Patterns: New Methods and Applications (pp. 240-275). Hershey, PA: Information Science Reference. doi:10.4018/978-1-59904-162-9.ch011

Chicago

Joutard, Cyrille J., Edoardo M. Airoldi, Stephen E. Edoardo M. and Tanzy M. Love. "Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice." In Data Mining Patterns: New Methods and Applications, ed. Pascal Poncelet, Florent Masseglia and Maguelonne Teisseire, 240-275 (2008), accessed December 21, 2014. doi:10.4018/978-1-59904-162-9.ch011

Export Reference

Mendeley
Sample PDF Favorite
Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice
Access on Platform
Browse by Subject
Top

Abstract

Statistical models involving a latent structure often support clustering, classification, and other data-mining tasks. Parameterizations, specifications, and constraints of alternative models can be very different, however, and may lead to contrasting conclusions. Thus model choice becomes a fundamental issue in applications, both methodological and substantive. Here, we work from a general formulation of hierarchical Bayesian models of mixed-membership that subsumes many popular models successfully applied to problems in the computing, social and biological sciences. We present both parametric and nonparametric specifications for discovering latent patterns. Context for the discussion is provided by novel analyses of the following two data sets: (1) 5 years of scientific publications from the Proceedings of the National Academy of Sciences; (2) an extract on the functional disability of Americans age 65+ from the National Long Term Care Survey. For both, we elucidate strategies for model choice and our analyses bring new insights compared with earlier published analyses.
Top

Complete Chapter List

Search this Book: Reset
Chapter 1
Dan A. Simovici
This chapter presents data mining techniques that make use of metrics defined on the set of partitions of finite sets. Partitions are naturally... Sample PDF
Metric Methods in Data Mining
$30.00
List Price: $37.50
Chapter 2
Osmar R. Zaïane, Mohammed El-Hajj
Frequent Itemset Mining (FIM) is a key component of many algorithms that extract patterns from transactional databases. For example, FIM can be... Sample PDF
Bi-Directional Constraint Pushing in Frequent Pattern Mining
$30.00
List Price: $37.50
Chapter 3
Hui Xiong, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou
This chapter presents a framework for mining highly-correlated association patterns named hyperclique patterns. In this framework, an objective... Sample PDF
Mining Hyperclique Patterns: A Summary of Results
$30.00
List Price: $37.50
Chapter 4
Simona Este Rombo, Luigi Palopoli
In the last years, the information stored in biological data-sets grew up exponentially, and new methods and tools have been proposed to interpret... Sample PDF
Pattern Discovery in Biosequences: From Simple to Complex
$30.00
List Price: $37.50
Chapter 5
Gregor Leban, Minca Mramor, Blaž Zupan, Janez Demšar, Ivan Bratko
Data visualization plays a crucial role in data mining and knowledge discovery. Its use is, however, often difficult due to the large number of... Sample PDF
Finding Patterns in Class-Labeled Data Using Data Visualization
$30.00
List Price: $37.50
Chapter 6
Yeow Wei Choong, Anne Laurent, Dominique Laurent
In the context of multidimensional data, OLAP tools are appropriate for the navigation in the data, aiming at discovering pertinent and abstract... Sample PDF
Summarizing Data Cubes Using Blocks
$30.00
List Price: $37.50
Chapter 7
Yutaka Matsuo, Junichiro Mori, Mitsuru Ishizuka
This chapter describes social network mining from the Web. Since the end of the 1990s, several attempts have been made to mine social network... Sample PDF
Social Network Mining from the Web
$30.00
List Price: $37.50
Chapter 8
Donato Malerba, Margherita Berardi, Michelangelo Ceci
This chapter introduces a data mining method for the discovery of association rules from images of scanned paper documents. It argues that a... Sample PDF
Discovering Spatio-Textual Association Rules in Document Images
$30.00
List Price: $37.50
Chapter 9
Mining XML Documents  (pages 198-219)
Laurent Candillier, Ludovic Denoyer, Patrick Gallinari, Marie Christine Rousset, Alexandre Termier, Anne-Marie Vercoustre
XML documents are becoming ubiquitous because of their rich and flexible format that can be used for a variety of applications. Giving the... Sample PDF
Mining XML Documents
$30.00
List Price: $37.50
Chapter 10
Sascha Schulz, Myra Spiliopoulou, Rene Schult
We study the issue of discovering and tracing thematic topics in a stream of documents. This issue, often studied under the label “topic evolution”... Sample PDF
Topic and Cluster Evolution Over Noisy Document Streams
$30.00
List Price: $37.50
Chapter 11
Cyrille J. Joutard, Edoardo M. Airoldi, Stephen E. Edoardo M., Tanzy M. Love
Statistical models involving a latent structure often support clustering, classification, and other data-mining tasks. Parameterizations... Sample PDF
Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice
$30.00
List Price: $37.50