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» Streaming Algorithms for extent problems in high dimensions
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DEXA
2009
Springer
151views Database» more  DEXA 2009»
14 years 2 months ago
Detecting Projected Outliers in High-Dimensional Data Streams
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
Ji Zhang, Qigang Gao, Hai H. Wang, Qing Liu, Kai X...
IDEAS
2000
IEEE
96views Database» more  IDEAS 2000»
13 years 12 months ago
A Cost Function for Uniformly Partitioned UB-Trees
Most operations of the relational algebra or SQL - like projection with duplicate elimination, join, ordering, group by and aggregations - are efficiently processed using a sorted...
Volker Markl, Rudolf Bayer
ICASSP
2010
IEEE
13 years 7 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
14 years 9 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
WEBI
2005
Springer
14 years 28 days ago
Adding the Temporal Dimension to Search - A Case Study in Publication Search
The most well known search techniques are perhaps the PageRank and HITS algorithms. In this paper we argue that these algorithms miss an important dimension, the temporal dimensio...
Philip S. Yu, Xin Li, Bing Liu