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KDD
1997
ACM
142views Data Mining» more  KDD 1997»
15 years 4 months ago
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
Wedescribehow specializeddatabasetechnology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign su...
Ulla Bergsten, Johan Schubert, Per Svensson
CAINE
2008
15 years 1 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang
CSMR
2011
IEEE
14 years 3 months ago
Sub-graph Mining: Identifying Micro-architectures in Evolving Object-Oriented Software
Abstract—Developers introduce novel and undocumented micro-architectures when performing evolution tasks on object-oriented applications. We are interested in understanding wheth...
Ahmed Belderrar, Segla Kpodjedo, Yann-Gaël Gu...
VLDB
1994
ACM
140views Database» more  VLDB 1994»
15 years 3 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
15 years 5 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti