Filters








126,167 Hits in 8.0 sec

Correlation: A Brief Introduction

Matthew N. O. Sadiku, Sarhan M. Musa, Sudarshan R. Nelatury
2014 International Journal of Electrical Engineering Education  
It has the real potential of becoming part of electrical engineering education. The main objective of this paper is to provide a brief introduction to data mining.  ...  It combines traditional data analysis with sophisticated algorithms for processing large amount of data.  ...  The data mining helps in identifying customer buying patterns and trends. This leads to improved quality of customer service and good customer retention and satisfaction.  ... 
doi:10.7227/ijeee.51.2.1 fatcat:ej2bxum4ubed3i5d2g6wox4udq

AN EMPIRICAL STUDY ON DATA MINING TECHNIQUES AND ITS APPLICATIONS

T. Pratheebha, V. Indhumathi, S. Santhana Megala
2021 International Journal of Software & Hardware Research in Engineering  
Data mining is also referred as Knowledge Discovery from the Data(KDD), it is the convenient extraction of patterns representing knowledge implicitly stored or captured in Large Databases, Data Warehouses  ...  In this paper we have discourse various Data Mining Concepts, Process, Techniques and Data Mining Applications.  ...  Data mining in retail industry serve in identifying customer buying patterns and bias that lead to improve the quality of customer retention, good customer service and their satisfaction [12] .  ... 
doi:10.26821/ijshre.9.4.2021.9410 fatcat:lj7otvdnqfffbodnzo6k3ye4my

Special Issue: Configuration

Alexander Felfernig, Markus Stumptner, Juha Tiihonen
2011 Artificial intelligence for engineering design, analysis and manufacturing  
The paper is concluded with an in-depth analysis of the applied search algorithms.  ...  The major topics of the current Special Issue include personalization techniques and algorithms in knowledge-based configuration, different issues of configuration knowledge representation, industrial  ... 
doi:10.1017/s0890060410000569 fatcat:55zdbhzbdngzzfiqbqqy47nh3y

A Case Study on Teaching and Learning Innovations Applied to Engineering Education

S. A. Soundattikar, V. R. Naik
2016 Journal of Engineering Education Transformations  
Maintaining service quality in any service industry is a big challenge and engineering education is not an exception.  ...  It supports the need to differentiate the curriculum so all the students are able to participate in the same content area during a lesson.  ...  teaching learning methods can be applied to many other engineering subjects like Mechatronics, Industrial Fluid Power, Metrology and Quality Control, etc.  ... 
doi:10.16920/jeet/2016/v30i2/105434 fatcat:lfhkv55wxndhhpy4bmhklft7mm

Applying Theory Of Inventive Problem Solving To Develop Innovative Solutions: A Case Study

Y. H. Wang, C. C. Hsieh
2016 Zenodo  
Analysis results raise the following conclusions and management implications: In order to provide customers with improved professional information and recommendations, Kobayashi Optical is suggested to  ...  Overall service efficiency can be enhanced by applying data mining techniques to analyze past consumer preferences and purchase histories.  ...  ACKNOWLEDGMENT This study was conducted as part of the Smart Retail Store Design and Implementation Project at the Institute for Information Industry, which is partially funded by the Ministry of Economic  ... 
doi:10.5281/zenodo.1339205 fatcat:g4yqug6vzvhf5ovbuft3dggu5e

A Case Study on Teaching and Learning Innovations Applied to Engineering Education

S. A. Soundattikar, V. R. Naik
2016 Journal of Engineering Education Transformations  
Maintaining service quality in any service industry is a big challenge and engineering education is not an exception.  ...  It supports the need to differentiate the curriculum so all the students are able to participate in the same content area during a lesson.  ...  FUTURE SCOPE Depending on the nature of subject (theoretical or mathematical) various innovative teaching learning methods can be applied to many other engineering subjects like Mechatronics, Industrial  ... 
doi:10.16920/jeet/2016/v0i0/85678 fatcat:5fb7veqb35gn3elxedfvfl7ynq

Towards an Agent-Based Framework for Online After-Sale Services

Lu Zhang, Frans Coenen, Wei Huang, Paul Leng
2006 2006 3rd International IEEE Conference Intelligent Systems  
In this paper, we present an attempt to use agents for constructing an online after-sale services system.  ...  As the result of this, agents are implemented into a framework for which exploits Case-Based Reasoning (CBR) technique to fulfil real life on-line services' diagnoses and tasks.  ...  The research described in this paper is supported by the Department of Trade and Industry under the Foresight 'Link' programme.  ... 
doi:10.1109/is.2006.348456 fatcat:6t5rdtaxqfacxdezspkcqnzn7q

Loan Credibility Prediction System Based on Decision Tree Algorithm

Sivasree M S, Rekha Sunny T
2015 International Journal of Engineering Research and  
Data mining techniques can also be used in the banking industry which help them compete in the market well equipped.  ...  Techniques of data mining are implemented in various domains such as retail industry, telecommunication industry, biological data analysis, intrusion detection and other scientific applications.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the insights of all the supporters and reviewers of this paper.  ... 
doi:10.17577/ijertv4is090708 fatcat:b7q3it3nxjbrtnvss5p677dqdy

Context Sensitive Web Service Engineering Environment For Product Extensions In Manufacturing Industry

Dragan Stokic, Ana Teresa Correia
2015 Zenodo  
To build such services and to meet requirements of mass customization, the manufacturers of machines and equipment for production of mass customized products need powerful service engineering environments  ...  Modern industrial companies aim to extend their products with services as fundamental value-added activities and reduce the product to be just a part of the offering.  ...  ACKNOWLEDGMENT This work is partly supported by the DIVERSITY (Cloud Manufacturing and Social Software Based Context Sensitive Product-Service Engineering Environment for Globally Distributed Enterprise  ... 
doi:10.5281/zenodo.151439 fatcat:if2mcn7aojgebku65iybnn4ofm

Data Mining Solutions for the Business Environment

Ruxandra-Stefania PETRE
2014 Database Systems Journal  
Data mining, a dynamic and fast-expanding field, that applies advanced data analysis techniques, from statistics, machine learning, database systems or artificial intelligence, in order to discover relevant  ...  Over the past years, data mining became a matter of considerable importance due to the large amounts of data available in the applications belonging to various domains.  ...  [5] Data mining techniques have many applications in the retail industry, including the following:  Customer segmentation: identify customer groups and associate each customer to the proper group;  ... 
doaj:cc32873e302348338799d4a688ba9d4d fatcat:krlkznzf2bcuxkn2cbyz55pshe

Big Data Analytics and Its Applications in Supply Chain Management [chapter]

Saeid Sadeghi Darvazeh, Iman Raeesi Vanani, Farzaneh Mansouri Musolu
2020 New Trends in the Use of Artificial Intelligence for the Industry 4.0  
Big data analytics capability (BDA) is one of the best techniques, which can help organizations to overcome their problem.  ...  In today's competitive marketplace, development of information technology, rising customer expectations, economic globalization, and the other modern competitive priorities have forced organizations to  ...  The underlying reasons are due to the lack of ability to apply appropriate techniques for big data analysis, which result in significant cost reduction [110] .  ... 
doi:10.5772/intechopen.89426 fatcat:e6vsgfegfrd7redxplv54ofdku

Segmentation of Mobile Customers using Data Mining Techniques

Md. Mahfuz Reza, Mawlana Bhashani Science and Technology University
2018 International Journal of Engineering Research and  
The prime objectives were to group customers using their behavioural characteristics and provide services according to the group.  ...  In today's competitive world, to keep customers satisfied is a key to success for telecommunication companies.  ...  INTRODUCTION Telecom industry is a typical data-intensive industry, in which data mining technologies can be used to obtain useful knowledge to provide customers with better services and find more commercial  ... 
doi:10.17577/ijertv7is100042 fatcat:fuhbk4jhnbg3tizp5vsxrtc5ga

Data Mining Task Tools Techniques and Applications
IJARCCE - Computer and Communication Engineering

S.D. GHEWARE, A.S. KEJKAR, S.M. TONDARE
2014 IJARCCE  
Data mining tools predict future trends and behaviours, allowing business to make proactive and present knowledge in the form which is easily understood to human.  ...  Data Mining refers to the mining or discovery of new information in terms of interesting patterns, the combination or rules from vast amount of data.  ...  The Data Mining in Retail Industry helps in identifying customer buying patterns and trends. That leads to improved quality of customer service and good customer retention and satisfaction.  ... 
doi:10.17148/ijarcce.2014.31003 fatcat:frbqpgkdhzhf5gnbk3g2fnrumm

An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability

Abdur Rahman, M.N.A. Khan
2017 International Journal of Education and Management Engineering  
Customer Relationship Management (CRM) system is used to manage company relations with the existing and prospect customers.  ...  Data mining is used in organization for decision making and forecasting of prospective customers. We have studied recent literature related to use of data mining techniques for CRM.  ...  Same approach can also be test in other service sectors and industries to assess their customer loyalty.  ... 
doi:10.5815/ijeme.2017.02.04 fatcat:fofrphbeofce3cyuiut75sj3vi

Survey of business excellence by knowledge gathering for industrial internet-of-things applications

Ville Isoherranen, Marjo Heikkilä, Johanna Hautamäki, Jouni K. Tervonen
2018 International Journal of Management and Enterprise Development  
The survey responds to two research questions: What methods of knowledge gathering and business excellence are used in industrial IoT-based product, service and process innovations?  ...  This review article assumes that combining business excellence, service design and knowledge gathering via data engineering into cognitive infocommunication (CogInfoCom) opens new possibilities to develop  ...  Another target of the future work is to apply data analysis and service design to education.  ... 
doi:10.1504/ijmed.2018.10017528 fatcat:2kklntagdrecxihne5pgudoxha
« Previous Showing results 1 — 15 out of 126,167 results