Obtaining expert system rules using data mining tools from a power generation database

Expert Systems with Applications ◽

10.1016/s0957-4174(97)00073-0 ◽

1998 ◽

Vol 14 (1-2) ◽

pp. 37-42 ◽

Author(s):

Manuel Mejía-Lavalle ◽

Guillermo Rodríguez-Ortiz

Keyword(s):

Data Mining ◽

Power Generation ◽

Expert System ◽

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Fault Diagnosis of Rotating Machinery Using Data Mining and CLIPS-Based Expert System

2008 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2008.120 ◽

2008 ◽

Author(s):

Dongyang Dou ◽

Yingkai Zhao

Keyword(s):

Data Mining ◽

Fault Diagnosis ◽

Expert System ◽

Rotating Machinery ◽

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Neural Networks for Predicting the Wear Properties of Sintered Ti-6Al-4V Composite Reinforced with Nano B4C Particle and Classification using Data Mining Tools

International Journal of Computational & Neural Engineering ◽

10.19070/2572-7389-160006 ◽

2016 ◽

pp. 40-48

Author(s):

Radha P ◽

◽

Selvakumar N ◽

Keyword(s):

Data Mining ◽

Neural Networks ◽

Wear Properties ◽

B4c Particle ◽

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The Research on C2C E-Commerce Website Using Data Mining Tools to Improve the Network Marketing Effect

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.433-435.1885 ◽

2013 ◽

Vol 433-435 ◽

pp. 1885-1889

Author(s):

Lu Feng ◽

Zhan Quan Wen ◽

Jie Mei Lin

Keyword(s):

Data Mining ◽

Analysis Method ◽

Network Marketing ◽

Data Mining Tool ◽

Mining Tool ◽

Object Of Study ◽

Hyperlink Analysis ◽

We used the principle of hyperlink analysis method to mine the website data according to the indicators of the hyperlink analysis. We selected Taobao.com as an object of study. The evaluation indicators of network marketing effect were page views, sales quantity, sales, the number of adding store to bookmark . According to our research, we find Taobao.com stores can use data mining tool to obtain the very good marketing effect.

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Enhancing e-governance using data mining tools and techniques

2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC) ◽

10.1109/icomicon.2017.8279059 ◽

2017 ◽

Author(s):

Ajay Kumar Ahirwar ◽

Shraddha Masih ◽

Sanjay Tanwani

Keyword(s):

Data Mining ◽

Tools And Techniques ◽

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Prediction of Factors Associated with the Dropout Rates of Primary to High School Students in India Using Data Mining Tools

Frontiers in Intelligent Computing: Theory and Applications - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-32-9186-7_26 ◽

2019 ◽

pp. 242-251

Author(s):

Ekansh Maheshwari ◽

Chandrima Roy ◽

Manjusha Pandey ◽

Siddharth Swarup Rautray

Keyword(s):

High School ◽

Data Mining ◽

High School Students ◽

Dropout Rates ◽

School Students ◽

Factors Associated ◽

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Bankruptcy Prediction Using Data Mining Tools

Encyclopedia of Business Analytics and Optimization ◽

10.4018/978-1-4666-5202-6.ch021 ◽

2014 ◽

pp. 220-226

Author(s):

Wikil Kwak

Keyword(s):

Data Mining ◽

Bankruptcy Prediction ◽

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Using Data Mining Tools in Wall-Following Robot Navigation Data Set

2020 International Conference Mechatronic Systems and Materials (MSM) ◽

10.1109/msm49833.2020.9201730 ◽

2020 ◽

Author(s):

Malgorzata Zdrodowska ◽

Agnieszka Dardzinska ◽

Anna Kasperczuk

Keyword(s):

Data Mining ◽

Robot Navigation ◽

Data Set ◽

Navigation Data ◽

Mining Tools ◽

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Determination of the Blood, Hormone and Obesity Value Ranges that Indicate the Breast Cancer, Using Data Mining Based Expert System

IRBM ◽

10.1016/j.irbm.2019.05.007 ◽

2019 ◽

Vol 40 (6) ◽

pp. 355-360 ◽

Author(s):

S.B. Akben

Keyword(s):

Breast Cancer ◽

Data Mining ◽

Expert System ◽

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Using Data Mining Tools for Breast Cancer Prediction and Analysis

2018 4th International Conference on Computing Communication and Automation (ICCCA) ◽

10.1109/ccaa.2018.8777713 ◽

2018 ◽

Author(s):

S. N. Singh ◽

Shivani Thakral

Keyword(s):

Breast Cancer ◽

Data Mining ◽

Cancer Prediction ◽

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Computing the Principal Local Binary Patterns for face recognition using data mining tools

Expert Systems with Applications ◽

10.1016/j.eswa.2012.01.074 ◽

2012 ◽

Vol 39 (8) ◽

pp. 7165-7172 ◽

Author(s):

Francisco A. Pujol ◽

Juan Carlos García

Keyword(s):

Data Mining ◽

Face Recognition ◽

Local Binary Patterns ◽

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