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SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
14 years 7 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...
AMINING
2003
Springer
293views Data Mining» more  AMINING 2003»
14 years 28 days ago
Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI
Abstract. MUSASHI is a set of commands which enables us to efficiently execute various types of data manipulations in a flexible manner, mainly aiming at data processing of huge a...
Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Tak...
IEAAIE
2000
Springer
13 years 11 months ago
Dynamic Data Mining
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
Vijay V. Raghavan, Aladdin Hafez
FGCS
2007
86views more  FGCS 2007»
13 years 7 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
CAISE
2004
Springer
14 years 1 months ago
Process Mining for Ubiquitous Mobile Systems: An Overview and a Concrete Algorithm
Abstract. Ubiquitous Mobile Systems (UMSs) allow for automated capturing of events. Both mobility and ubiquity are supported by electronic means such as mobile phones and PDAs and ...
Ana Karla A. de Medeiros, Boudewijn F. van Dongen,...