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» A Perspective on Databases and Data Mining
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JCP
2006
173views more  JCP 2006»
15 years 4 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
LWA
2004
15 years 5 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
136
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ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
15 years 8 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
EVOW
2006
Springer
15 years 7 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 8 months ago
The Drill Down Benchmark
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
Peter A. Boncz, Tim Rühl, Fred Kwakkel