Research on the cash dividend influencing factors applied the data-mining technique: A validating study based on listed companies in China

2009 International Conference on Management Science and Engineering ◽

10.1109/icmse.2009.5317922 ◽

2009 ◽

Author(s):

Bing-sheng Zhao ◽

Yu-zhi Li

Keyword(s):

Data Mining ◽

Influencing Factors ◽

Listed Companies ◽

Cash Dividend ◽

Data Mining Technique ◽

Mining Technique

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The Research on Influencing Factors of Dividend Policy Based on Data-Mining Technique: A Validating Study Based on Listed Companies in China

2010 International Conference on Management and Service Science ◽

10.1109/icmss.2010.5576960 ◽

2010 ◽

Author(s):

Bingsheng Zhao

Keyword(s):

Data Mining ◽

Influencing Factors ◽

Dividend Policy ◽

Listed Companies ◽

Data Mining Technique ◽

Mining Technique

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Research on the capital structure influencing factors applied the data-mining technique: A validating study based on listed companies in China

2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings ◽

10.1109/icmse.2008.4668994 ◽

2008 ◽

Author(s):

Bing-sheng Zhao ◽

Gui-xia Dai

Keyword(s):

Data Mining ◽

Capital Structure ◽

Influencing Factors ◽

Listed Companies ◽

Data Mining Technique ◽

Mining Technique ◽

The Capital Structure

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Research on the Effect of Capital Structure on Cash Dividend Based on Data-Mining Technique

2009 International Conference on Management and Service Science ◽

10.1109/icmss.2009.5303369 ◽

2009 ◽

Author(s):

Bingsheng Zhao ◽

Yizhi Li

Keyword(s):

Data Mining ◽

Capital Structure ◽

Cash Dividend ◽

Data Mining Technique ◽

Mining Technique

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A Study on the Analysis of Employment Decision Factor of the Visually Impaired using Data Mining Technique

Disability & Employment ◽

10.15707/disem.2013.23.1.011 ◽

2013 ◽

Vol 23 (1) ◽

pp. 273-302 ◽

Cited By ~ 6

Author(s):

임은정 ◽

신현욱 ◽

김성진

Keyword(s):

Data Mining ◽

Visually Impaired ◽

Data Mining Technique ◽

Mining Technique ◽

Employment Decision ◽

Using Data

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Retrieving Information and Discovering Knowledge from Unstructured Data Using Big Data Mining Technique: Heavy Oil Fields Example

10.2523/17805-ms ◽

2014 ◽

Cited By ~ 1

Author(s):

Wenkuang Wu ◽

Xiaoguang Lu ◽

Ben Cox ◽

Guoqiang Li ◽

Lihua Lin ◽

...

Keyword(s):

Data Mining ◽

Big Data ◽

Heavy Oil ◽

Oil Fields ◽

Unstructured Data ◽

Data Mining Technique ◽

Big Data Mining ◽

Mining Technique

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Know Your Stars Before They Fall Apart: A Social Network Analysis of Telecom Industry to Foster Employee Retention using Data Mining Technique

IEEE Access ◽

10.1109/access.2021.3050327 ◽

2021 ◽

pp. 1-1

Author(s):

Sundus Younis ◽

Ali Ahsan

Keyword(s):

Data Mining ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Employee Retention ◽

Data Mining Technique ◽

Mining Technique ◽

Telecom Industry ◽

Using Data

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DFT investigation analyzed with data mining technique of rare-earth dihydrides REH2 for hydrogen storage

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2021.07.137 ◽

2021 ◽

Author(s):

O. Ouadah ◽

F. Saidi ◽

M.E.A. Miloudi ◽

O. Ziani ◽

A. Mahmoudi ◽

...

Keyword(s):

Data Mining ◽

Rare Earth ◽

Hydrogen Storage ◽

Data Mining Technique ◽

Mining Technique

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Data Mining Technique for Prediction System of Heart Disease Using Associative Classifications

10.1109/icccnt51525.2021.9579825 ◽

2021 ◽

Author(s):

Md. Sadeki Salman ◽

Nazmun Naher Shila ◽

Khalid Hasan ◽

Piash Ahmed ◽

Mumenunnessa Keya ◽

...

Keyword(s):

Data Mining ◽

Heart Disease ◽

Prediction System ◽

Data Mining Technique ◽

Mining Technique

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Data Mining Technique (Maximum Entropy Model) for Mapping Gully Erosion Susceptibility in the Gorganrood Watershed, Iran

Gully Erosion Studies from India and Surrounding Regions - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-23243-6_29 ◽

2019 ◽

pp. 427-448 ◽

Cited By ~ 1

Author(s):

Narges Javidan ◽

Ataollah Kavian ◽

Hamid Reza Pourghasemi ◽

Christian Conoscenti ◽

Zeinab Jafarian

Keyword(s):

Data Mining ◽

Maximum Entropy ◽

Gully Erosion ◽

Maximum Entropy Model ◽

Data Mining Technique ◽

Entropy Model ◽

Mining Technique

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Mining Association rule with Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) data mining technique

2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) ◽

10.1109/icicct.2018.8472955 ◽

2018 ◽

Author(s):

Harco Leslie Hendric Spits Warnars ◽

Ford Lumban Gaol ◽

Yaya Heryadi ◽

Agung Trisetyarso ◽

Horacio Emilio Perez Sanchez

Keyword(s):

Data Mining ◽

Association Rule ◽

Data Mining Technique ◽

Mining Technique ◽

High Level ◽

Mining Association Rule ◽

Emerging Pattern

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