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» Techniques of Cluster Algorithms in Data Mining
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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
PKDD
2007
Springer
107views Data Mining» more  PKDD 2007»
16 years 18 days ago
An Empirical Comparison of Exact Nearest Neighbour Algorithms
Nearest neighbour search (NNS) is an old problem that is of practical importance in a number of fields. It involves finding, for a given point q, called the query, one or more po...
Ashraf M. Kibriya, Eibe Frank
IS
2007
15 years 6 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 10 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 10 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith