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» A Perspective on Databases and Data Mining
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SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 4 months ago
Building data mining solutions with OLE DB for DM and XML for analysis
A data mining component is included in Microsoft SQL Server 2000 and SQL Server 2005, one of the most popular DBMSs. This gives a push for data mining technologies to move from a ...
ZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) K...
EDBT
2004
ACM
234views Database» more  EDBT 2004»
16 years 4 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
16 years 4 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 8 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
KDD
1998
ACM
185views Data Mining» more  KDD 1998»
15 years 8 months ago
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
Philip K. Chan, Salvatore J. Stolfo