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KDD
1998
ACM
183views Data Mining» more  KDD 1998»
15 years 11 months ago
Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
Shiby Thomas, Sunita Sarawagi
KDD
2000
ACM
82views Data Mining» more  KDD 2000»
15 years 10 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
JCP
2006
139views more  JCP 2006»
15 years 6 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 7 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee