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EDM
2008
141views Data Mining» more  EDM 2008»
13 years 11 months ago
Acquiring Background Knowledge for Intelligent Tutoring Systems
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching st...
Cláudia Antunes
CIB
2005
128views more  CIB 2005»
13 years 9 months ago
The Predicting Power of Textual Information on Financial Markets
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 7 months ago
iSAX 2.0: Indexing and Mining One Billion Time Series
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
Alessandro Camerra, Themis Palpanas, Jin Shieh, Ea...
PADL
2000
Springer
14 years 1 months ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi
EDM
2008
288views Data Mining» more  EDM 2008»
13 years 11 months ago
Data Mining Algorithms to Classify Students
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
Cristóbal Romero, Sebastián Ventura,...