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» An Overview of Database Mining Techniques
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FLAIRS
2000
13 years 9 months ago
Discovering Structural Patterns in Telecommunications Data
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
Andi Baritchi, Diane J. Cook, Lawrence B. Holder
BTW
2007
Springer
166views Database» more  BTW 2007»
14 years 2 months ago
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes
: Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Anal...
Svetlana Mansmann, Florian Mansmann, Marc H. Schol...
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
14 years 9 months ago
Super-Scalar RAM-CPU Cache Compression
High-performance data-intensive query processing tasks like OLAP, data mining or scientific data analysis can be severely I/O bound, even when high-end RAID storage systems are us...
Marcin Zukowski, Niels Nes, Peter A. Boncz, S&aacu...
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
14 years 8 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 9 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang