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Skip to Search Results- 1Automatic Taxonomy Generation
- 1Class Imbalance
- 1Cluster Labeling
- 1Co-location mining
- 1Co-training
- 1Community mining
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Fall 2012
With the large presence of organizations from different sectors of economy on the web, the problem of detecting which sector a given website belongs to is both important and challenging. We study the problem of classifying websites into four non-topical categories: public, private, non-profit and...
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Spring 2012
Social networks are ubiquitous. They can be extracted from our purchase history at on-line retailers, our cellphone bills, and even our health records. Mining tech- niques that can accurately and efficiently identify interesting patterns in these net- works are sought after by researchers from a...
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Fall 2012
Co-location mining, which focuses on the detection of co-location patterns, is one of the tasks of spatial data mining. A co-location pattern is a set of spatial features frequently located in close proximity of each other. Most previous works are based on transaction-free apriori-like algorithms...
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Fall 2012
Selecting appropriate rehabilitation treatments for injured workers has been a challenging task for clinicians and health care funders. Currently, clinicians are unable to identify the optimal treatment for a patient with absolute confidence and are looking for assistance from other research...
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Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
DownloadFall 2012
The overwhelming amount of textual documents currently available highlights the need for information organization and discovery. Effectively organizing documents into a hierarchy of topics and subtopics makes it easier for users to browse the documents. This thesis borrows community mining...