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» An Overview of Database Mining Techniques
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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
DAGSTUHL
2007
13 years 9 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
CAISE
2006
Springer
13 years 11 months ago
Extending Database Technology: a New Document Data Type
Our research explores a new database extension. Our aim is to see how far it is possible to support collaborative editing and document provenance with database technology, and exte...
Stefania Leone
DEBU
2008
156views more  DEBU 2008»
13 years 8 months ago
Towards Automatic Test Database Generation
Testing is one of the most expensive and time consuming activities in the software development cycle. In order to reduce the cost and the time to market, many approaches to automa...
Carsten Binnig, Donald Kossmann, Eric Lo
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 9 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu