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» An Overview of Database Mining Techniques
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VLDB
2007
ACM
141views Database» more  VLDB 2007»
14 years 8 months ago
Query Processing over Incomplete Autonomous Databases
Incompleteness due to missing attribute values (aka "null values") is very common in autonomous web databases, on which user accesses are usually supported through media...
Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianc...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 8 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
14 years 14 days ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang
HPCC
2007
Springer
14 years 2 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
DS
1997
117views Database» more  DS 1997»
13 years 9 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal