319 search results - page 27 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
MLDM
2009
Springer
15 years 4 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
SIGMOD
1998
ACM
15 years 2 months ago
1998
ACM
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
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CPHYSICS
2006
14 years 10 months ago
2006
State-of-the-art molecular dynamics (MD) simulations generate massive datasets involving billion-vertex chemical bond networks, which makes data mining based on graph algorithms s...
ADMA
2009
Springer
15 years 4 months ago
2009
Springer
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...