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» EM in High Dimensional Spaces
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SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
15 years 10 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
83
Voted
CIKM
2008
Springer
15 years 13 days ago
REDUS: finding reducible subspaces in high dimensional data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
Xiang Zhang, Feng Pan, Wei Wang 0010
VLDB
2004
ACM
178views Database» more  VLDB 2004»
15 years 3 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 7 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
EDBT
2006
ACM
182views Database» more  EDBT 2006»
15 years 10 months ago
On High Dimensional Skylines
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
Chee Yong Chan, H. V. Jagadish, Kian-Lee Tan, Anth...