319 search results - page 14 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
111
click to vote
KDD
2002
ACM
15 years 10 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
81
Voted
APWEB
2005
Springer
15 years 3 months ago
2005
Springer
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
ADMA
2005
Springer
14 years 12 months ago
2005
Springer
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...