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EDBT
2008
ACM
14 years 10 months ago
2008
ACM
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
VLDB
1998
ACM
14 years 2 months ago
1998
ACM
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
KDD
1997
ACM
14 years 2 months ago
1997
ACM
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
DIS
2006
Springer
14 years 2 days ago
2006
Springer
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...