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CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 4 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 4 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
138
Voted
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 4 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
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 10 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
DEXA
2003
Springer
147views Database» more  DEXA 2003»
15 years 9 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee