European Parliament Library

The future of data mining, Cem Ufuk Baytar, PhD, editor - electronic bk

Contributor
Summary
"The purpose of this book is to discuss data mining, which is a subset of data science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing big data has become important to produce information that will support business decisions and be a strategic tool in today's competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups"--, Provided by publisher
Table Of Contents
Intro -- Contents -- Preface -- Acknowledgments -- Chapter 1 -- Data Analytics Applied to the Human Resources Industry -- Abstract -- Introduction -- Data Analytics -- Human Resources Analytics -- Conclusion -- References -- Chapter 2 -- Toxicogenomics Data Mining as a Promising Prioritization Tool in Toxicity Testing -- Abstract -- Introduction -- Useful Databases and Tools for Data Mining in Toxicology -- Data Mining Examples -- Advantages -- Limitations -- Conclusion -- Acknowledgments -- References -- Chapter 3 -- Applications of Data Mining Algorithms for Customer Recommendations in Retail Marketing -- Abstract -- Introduction -- Literature Review -- Methodology -- Findings and Results -- Conclusion -- References -- Chapter 4 -- Analysis of Customer Churn in Banking Industry Using Data Mining -- Abstract -- Introduction -- Digitalization and Online Banking -- Customer Relations Management and Data Analysis -- Customer Loyalty and Data Analysis -- Tools and Methodology -- Understanding the Data -- Data Preparation -- Data Modeling -- Decision Tree Algorithm -- The Random Forest Algorithm -- Artificial Neural Networks -- Conclusion -- References -- Chapter 5 -- The Crowdsourcing Concept-Based Data Mining Approach Applied in Prosumer Microgrids -- Abstract -- Introduction -- Crowdsourcing Energy System -- The Problem Formulation -- The Prosumer Profiling Using Data Mining Method -- Optimal Allocation of Prosumers in Local Microgrids -- Results and Discussion -- Conclusion -- References -- Chapter 6 -- Active Learning -- Abstract -- Introduction -- Query Strategies -- Use Case -- Industry and Robotics -- Healthcare -- Cybersecurity -- Conclusion -- References -- Chapter 7 -- Prediction of General Anxiety Disorder Using Machine Learning Techniques -- Abstract -- Introduction -- Literature Review -- Background -- Materials and Methods -- SVM
Language
eng
Literary Form
non fiction
Copyright
Edition
1st ed.
Physical Description
1 online resource (156 pages)
Specific Material Designation
remote
Form Of Item
online
Isbn
9798886973150

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