Judith Gelernter
Michael Lesk
ABSTRACT
Maps in journal articles are difficult to access since they are rarely indexed apart from the articles themselves. Our prototype of a searchable map library was built by extracting maps and harvesting metadata from scanned articles to classify each map.
- Dhar, D. B. & Chanda, B. (2006). Extraction and recognition of geographical features from paper maps. International Journal of Document Analysis 8(4), 232--245. Google Scholar
Digital Library
- McMillan, A. D. & Hutchinson, I. (2002). When the mountain dwarfs danced. Ethnohistory 49(1), 41--68.Google ScholarCross Ref
Index Terms
- Creating a searchable map library via data mining
Recommendations
Data mining of maps and their automatic region-time-theme classification
The goal of this research is to organize maps mined from journal articles into categories for hierarchical browsing within region, time and theme facets. A 150-map training set collected manually was used to develop classifiers. Metadata pertinent to ...
Mining fuzzy specific rare itemsets for education data
Association rule mining is an important data analysis method for the discovery of associations within data. There have been many studies focused on finding fuzzy association rules from transaction databases. Unfortunately, in the real world, one may ...
Mining uncertain data for constrained frequent sets
IDEAS '09: Proceedings of the 2009 International Database Engineering & Applications SymposiumData mining aims to search for implicit, previously unknown, and potentially useful pieces of information---such as sets of items that are frequently co-occurring together---that are embedded in data. The mined frequent sets can be used in the discovery ...
Comments