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ICCBR
2007
Springer
15 years 4 months ago
Case-Based Reasoning Adaptation for High Dimensional Solution Space
Case-Based Reasoning (CBR) is a methodology that reuses the solutions of previous similar problems to solve new problems. Adaptation is the most difficult stage in the CBR cycle, e...
Ying Zhang, Panos Louvieris, Maria Petrou
103
Voted
JMLR
2010
119views more  JMLR 2010»
14 years 5 months ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
110
Voted
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
15 years 2 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
117
Voted
VLDB
2000
ACM
166views Database» more  VLDB 2000»
15 years 1 months ago
What Is the Nearest Neighbor in High Dimensional Spaces?
Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...
110
Voted
INFOVIS
2003
IEEE
15 years 3 months ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...