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199
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INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
15 years 3 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
IJMI
2002
82views more  IJMI 2002»
15 years 1 months ago
Protein names and how to find them
A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of...
Kristofer Franzén, Gunnar Eriksson, Fredrik...
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 7 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
191
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PREMI
2011
Springer
14 years 4 months ago
Finding Potential Seeds through Rank Aggregation of Web Searches
This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Rajendra Prasath, Pinar Öztürk
94
Voted
ICPR
2002
IEEE
16 years 3 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin