Sciweavers

319 search results - page 4 / 64
» Algorithms for Mining Distance-Based Outliers in Large Datas...
Sort
View
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
15 years 1 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
SSD
2007
Springer
131views Database» more  SSD 2007»
15 years 4 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
ICCS
2003
Springer
15 years 3 months ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
IPPS
1998
IEEE
15 years 2 months ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
15 years 11 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong