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» A data mining approach to database compression
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DAWAK
2005
Springer
15 years 3 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
58
Voted
KDD
2000
ACM
82views Data Mining» more  KDD 2000»
15 years 1 months ago
Exploration mining in diabetic patients databases: findings and conclusions
Real-life data mining applications are interesting because they often present a different set of problems for data miners. One such real-life application that we have done is on t...
Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling
TMA
2012
Springer
278views Management» more  TMA 2012»
13 years 5 months ago
tsdb: A Compressed Database for Time Series
Large-scale network monitoring systems require efficient storage and consolidation of measurement data. Relational databases and popular tools such as the Round-Robin Database sho...
Luca Deri, Simone Mainardi, Francesco Fusco
KDD
1995
ACM
193views Data Mining» more  KDD 1995»
15 years 1 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
AI
2004
Springer
15 years 3 months ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...