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INCDM
2009
Springer
145views Data Mining» more  INCDM 2009»
15 years 10 months ago
Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation
In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence ...
Weiqi Wang, Yanbo J. Wang, René Baña...
KDD
2000
ACM
145views Data Mining» more  KDD 2000»
15 years 7 months ago
IntelliClean: a knowledge-based intelligent data cleaner
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
Mong-Li Lee, Tok Wang Ling, Wai Lup Low
IADIS
2008
15 years 5 months ago
Data Mining In Marketing Acquisition CAMPAIGNS
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
Krzysztof Dzieciolowski, Dennis Kira
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 9 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang