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HIS
2004
15 years 4 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 3 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
TVCG
2002
123views more  TVCG 2002»
15 years 2 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
JPDC
2008
134views more  JPDC 2008»
15 years 3 months ago
Middleware for data mining applications on clusters and grids
This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...
Leonid Glimcher, Ruoming Jin, Gagan Agrawal
HICSS
2003
IEEE
176views Biometrics» more  HICSS 2003»
15 years 8 months ago
Ad-Hoc Association-Rule Mining within the Data Warehouse
Many organizations often underutilize their already constructed data warehouses. In this paper, we suggest a novel way of acquiring more information from corporate data warehouses...
Svetlozar Nestorov, Nenad Jukic