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» Structured Relation Discovery using Generative Models
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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 6 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
ACMSE
2006
ACM
15 years 5 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
FLAIRS
2003
15 years 1 months ago
Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...
Susan M. Haller, Barbara Di Eugenio
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 9 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ACL
2003
15 years 1 months ago
Parsing with Generative Models of Predicate-Argument Structure
The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. T...
Julia Hockenmaier