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TKDE
2012
253views Formal Methods» more  TKDE 2012»
13 years 7 months ago
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
—Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
Carlos Ordonez, Zhibo Chen 0002
SIGMOD
1998
ACM
233views Database» more  SIGMOD 1998»
15 years 9 months ago
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
DGO
2003
140views Education» more  DGO 2003»
15 years 6 months ago
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Admi
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
195
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 5 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
DMSN
2010
ACM
15 years 6 months ago
DEMS: a data mining based technique to handle missing data in mobile sensor network applications
In Mobile Sensor Network (MSN) applications, sensors move to increase the area of coverage and/or to compensate for the failure of other sensors. In such applications, loss or cor...
Le Gruenwald, Md. Shiblee Sadik, Rahul Shukla, Han...