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VLDB
1998
ACM
103views Database» more  VLDB 1998»
13 years 12 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
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
14 years 1 months ago
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
It has been well recognized that data mining is an interactive and iterative process. In order to support this process, one of the long-term goals of data mining research has been...
Ruoming Jin, Gagan Agrawal
ICDE
2001
IEEE
192views Database» more  ICDE 2001»
14 years 9 months ago
Integrating Data Mining with SQL Databases: OLE DB for Data Mining
The integration of data mining with traditional database systems is key to making it convenient, easy to deploy in real applications, and to growing its user base. In this paper w...
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jef...
DEXAW
2005
IEEE
189views Database» more  DEXAW 2005»
14 years 1 months ago
Knowledge Management Challenges in Knowledge Discovery Systems
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting t...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 8 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han