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KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 9 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 9 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
14 years 26 days ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
CORR
2010
Springer
214views Education» more  CORR 2010»
13 years 9 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
SIGMOD
2004
ACM
120views Database» more  SIGMOD 2004»
14 years 9 months ago
Prediction and Indexing of Moving Objects with Unknown Motion Patterns
Existing methods for prediction in spatio-temporal databases assume that objects move according to linear functions. This severely limits their applicability, since in practice mo...
Yufei Tao, Christos Faloutsos, Dimitris Papadias, ...