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 Minghao Piao

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Average citations per article0.90
Citation Count9
Publication count10
Publication years2008-2017
Available for download1
Average downloads per article155.00
Downloads (cumulative)155
Downloads (12 Months)37
Downloads (6 Weeks)4
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1
January 2017 Computers in Biology and Medicine: Volume 80 Issue C, January 2017
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 0

Cancer classification has been a crucial topic of research in cancer treatment. In the last decade, messenger RNA (mRNA) expression profiles have been widely used to classify different types of cancers. With the discovery of a new class of small non-coding RNAs; known as microRNAs (miRNAs), various studies have shown ...
Keywords: Cancer classification, Ensemble learning, miRNA expression, Data mining

2 published by ACM
February 2016 ACM Transactions on Information Systems (TOIS): Volume 34 Issue 2, April 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 37,   Downloads (Overall): 155

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In electricity customer classification, the most important task is to avoid the curse of dimensionality problem, as the consumption diagrams have a large number of dimensions. To avoid the curse of dimensionality problem, field indices (load shape factor) are often used instead of consumption diagrams. Field indices are directly extracted ...
Keywords: Feature extraction, classification, dimensionality reduction, subspace analysis

3
December 2012 Bioinformatics: Volume 28 Issue 24, December 2012
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 7

Motivation: Gene selection for cancer classification is one of the most important topics in the biomedical field. However, microarray data pose a severe challenge for computational techniques. We need dimension reduction techniques that identify a small set of genes to achieve better learning performance. From the perspective of machine learning, ...

4
September 2011 ICHIT'11: Proceedings of the 5th international conference on Convergence and hybrid information technology
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Recently, the analysis of power load in the electrical industry has becomes an important element for the concern of customer safety. In power system related studies, data mining techniques are used in power load analysis and they can help decision making in the electrical industry. In this paper, for using ...
Keywords: TFP-tree, emerging patterns, incremental mining

5
June 2010 CIT '10: Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper, we proposed an incremental TFP-tree algorithm for mining emerging patterns that can search efficiently within limitation of memory. Especially, the concept of pre-infrequent patterns pruning and use of two different minimum supports, it made the algorithm be possible to mine most emerging patterns and handle the problem ...
Keywords: Emerging Patterns, incremental mining, TFP-tree

6
June 2010 CIT '10: Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Power load analysis is an important issue in electrical industry. Data mining techniques are widely studied methodology for power load analysis and it helps decision making on electrical industry. In this paper, we propose an incremental tree induction algorithm using Cascading-and-Sharing method, and use mined significant classification rules to analyze ...
Keywords: incremental mining, decision tree induction, significant classification rules, power consumption behavior

7
August 2009 ADMA '09: Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Previous studies show that using significant classification rules to accomplish the classification task is suitable for bio-medical research. Discovery of many significant rules could be performed by using ensemble methods in decision tree induction. However, those traditional approaches are not useful for incremental task. In this paper, we use an ...
Keywords: Cascading and Sharing, Incremental tree induction, Classification rules, Ensemble method

8
August 2009 FSKD'09: Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Heart disease is the one of the significant health problem in the world. Recently, most serious problem caused by it is that the patient becomes younger. Therefore, it is very important and necessary to find the early symptoms of heart problems for better treatment and effective methodology for predicting the ...

9
August 2009 FSKD '09: Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Heart disease is the one of the significant health problem in the world. Recently, most serious problem caused by it is that the patient becomes younger. Therefore, it is very important and necessary to find the early symptoms of heart problems for better treatment and effective methodology for predicting the ...
Keywords: emerging patterns, prediction, heart disease, Ischemia, aggregation score, T-tree

10
July 2008 IWSCA '08: Proceedings of the 2008 IEEE International Workshop on Semantic Computing and Applications
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The aim of this paper is to investigate the potential of air conditioning load management by solve the temperature regression model of load patterns for Banks and the temperature sensitivity depends on temperature change. The load survey system has been applied to record the Bank load of sampling Banks in ...



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