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KDD
2010
ACM
279views Data Mining» more  KDD 2010»
15 years 10 months ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 10 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
ESEM
2007
ACM
15 years 10 months ago
Usage and Perceptions of Agile Software Development in an Industrial Context: An Exploratory Study
Agile development methodologies have been gaining acceptance in the mainstream software development community. While there are numerous studies of Agile development in academic an...
Andrew Begel, Nachiappan Nagappan
SIGIR
2010
ACM
15 years 10 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
ICCS
2007
Springer
15 years 10 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
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