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» Discovering Case Knowledge Using Data Mining
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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
DAWAK
2010
Springer
13 years 9 months ago
Region of Interest Based Image Categorization
Region Of Interest Based Image Classification (ROIBIC) is a mechanism for categorising images according to some specific component or object that features across a given image set....
Ashraf Elsayed, Frans Coenen, Marta García-...
ECIS
2000
13 years 10 months ago
Metadata-Based Integration of Qualitative and Quantitative Information Resources Approaching Knowledge Management
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...
Bodo Rieger, Anja Kleber, Eitel von Maur
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
13 years 7 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima