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ACSC
2006
IEEE
15 years 4 months ago
A framework for visual data mining of structures
Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hie...
Hans-Jörg Schulz, Thomas Nocke, Heidrun Schum...
SIGMOD
2011
ACM
158views Database» more  SIGMOD 2011»
14 years 24 days ago
Workload-aware database monitoring and consolidation
In most enterprises, databases are deployed on dedicated database servers. Often, these servers are underutilized much of the time. For example, in traces from almost 200 producti...
Carlo Curino, Evan P. C. Jones, Samuel Madden, Har...
SMC
2010
IEEE
198views Control Systems» more  SMC 2010»
14 years 8 months ago
Deep web data extraction
—Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web...
Jer Lang Hong
CIKM
2009
Springer
15 years 1 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
15 years 11 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang