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» Numbers in Multi-relational Data Mining
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140
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ACSW
2004
15 years 6 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
160
Voted
JIIS
2008
133views more  JIIS 2008»
15 years 5 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
NAR
2011
307views Computer Vision» more  NAR 2011»
14 years 12 months ago
BRENDA, the enzyme information system in 2011
The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific...
Maurice Scheer, Andreas Grote, Antje Chang, Ida Sc...
153
Voted
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 6 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
15 years 10 months ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi