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» A general algorithm for data dependence analysis
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 3 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
203
Voted
SIGMOD
2008
ACM
115views Database» more  SIGMOD 2008»
16 years 3 months ago
Query answering techniques on uncertain and probabilistic data: tutorial summary
Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of thos...
Jian Pei, Ming Hua, Yufei Tao, Xuemin Lin
149
Voted
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 3 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
149
Voted
CIKM
1995
Springer
15 years 7 months ago
Research Problems in Data Warehousing
The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a sing...
Jennifer Widom
119
Voted
CIKM
2006
Springer
15 years 7 months ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger