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SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 10 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...
ICDM
2006
IEEE
184views Data Mining» more  ICDM 2006»
14 years 4 months ago
MARGIN: Maximal Frequent Subgraph Mining
The exponential number of possible subgraphs makes the problem of frequent subgraph mining a challenge. Maximal frequent mining has triggered much interest since the size of the s...
Lini T. Thomas, Satyanarayana R. Valluri, Kamalaka...
EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 10 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
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 2 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
2012
ACM
221views Data Mining» more  KDD 2012»
12 years 22 days ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...