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TVCG
2002
123views more  TVCG 2002»
15 years 5 months ago
Information Visualization and Visual Data Mining
Never before in history data has been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data becomes increasingly difficult. Information vi...
Daniel A. Keim
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
16 years 6 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»
15 years 11 months 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...
DEXAW
1998
IEEE
116views Database» more  DEXAW 1998»
15 years 10 months ago
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server
Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essentia...
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 6 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho