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ESWA
2008
119views more  ESWA 2008»
14 years 10 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
JITECH
2010
106views more  JITECH 2010»
14 years 9 months ago
Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
Miha Skerlavaj, Vlado Dimovski, Kevin C. Desouza
ICONIP
2009
14 years 8 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
15 years 11 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
ICEGOV
2009
ACM
15 years 5 months ago
Framework of e-governance at the local government level
With presumptions that e-government theories prevail in various formats and concepts around the globe, nations and institutions, not many examples are there to emulate in terms of...
Hakikur Rahman