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| Title Details: | |
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Business intelligence applications |
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| Authors: |
Stalidis, Georgios |
| Reviewer: |
Diamantaras, Konstantinos |
| Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > DATA MINING MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > BASIC KNOWLEDGE REPRESENTATION AND REASONING |
| Keywords: |
Knowledge Extraction
Business Intelligence Data Analytics Marketing Information Systems |
| Description: | |
| Abstract: |
In this chapter, we present a set of applications in the area of business management and marketing, including popular problems, such as shopping basket analysis, prediction of customer’s churn, study and prediction of customer’s preferences and satisfaction. The applications are implemented with the RapidMiner data mining software, which is available as free version and is supported by rich documentation. For each application, we present its aims and explain the reasoning behind the method selection and its design. The process of implementing the analysis in practice is then presented, using the graphical environment of the software package, together with the steps for executing the analysis on training and testing data, presenting and interpreting the results.
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| Table of Contents: |
Chapter 7. Business intelligence applications
1. Knowledge extraction software 1.1. Purpose and processes 1.2. The environment of RapidMiner 1.3. The available operators 2. The full process of a knowledge extraction from data application 3. Business intelligence applications employing knowledge extraction from data 3.1. Prediction of customer’s churn 3.1.1. Problem definition 3.1.2. Design 3.1.3. Import and preparation data 3.1.4. Data understanding 3.1.5. Modeling 3.1.6. Application of model to unknown data 3.1.7. Model evaluation 3.2. Shopping basket analysis 3.2.1. Problem definition 3.2.2. Design 3.2.3. Import and preparation of data 3.2.4. Data understanding 3.2.5. Modeling 3.2.6. Model application and evaluation 3.3. Study of customer expectations from their hotel 3.3.1. Problem definition 3.3.2. Design 3.3.3. Import and preparation of data 3.3.4. Data understanding 3.3.5. Modeling 3.3.6. Model application and evaluation 3.4. Study of the effect of individual satisfaction elements on the total satisfaction of hotel customers 3.4.1. Problem definition 3.4.2. Design 3.4.3. Import, preparation and understanding of data 3.4.4. Modeling 3.4.5. Model application and evaluation Bibliography/References |
| Graphic Editors: |
Triantafillou, Sotirios |
| Type: |
Chapter |
| Creation Date: | 2015 |
| Item Details: | |
| License: |
http://creativecommons.org/licenses/by-nc-nd/3.0/gr |
| Handle | http://hdl.handle.net/11419/1168 |
| Bibliographic Reference: | Stalidis, G. (2015). Business intelligence applications [Chapter]. In Stalidis, G., & Kardaras, D. 2015. Data Management and Business Intelligence [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/1168 |
| Language: |
Greek |
| Is Part of: |
Data Management and Business Intelligence |
| Publication Origin: |
Kallipos, Open Academic Editions |