| Title Details: | |
|
Business Data Mining |
|
| Other Titles: |
Applications using RapidMiner |
| Authors: |
Maravelakis, Petros |
| Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > DATA MINING MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > APPLICATIONS LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > ECONOMETRIC AND STATISTICAL METHODS AND METHODOLOGY: GENERAL LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > ECONOMETRIC AND STATISTICAL METHODS: SPECIAL TOPICS LAW AND SOCIAL SCIENCES > ECONOMIC SCIENCES > MATHEMATICAL AND QUANTITATIVE METHODS > DATA COLLECTION AND DATA ESTIMATION METHODOLOGY; COMPUTER PROGRAMS |
| Keywords: |
Data Mining
Statistics Applications of Statistics RapidMiner |
| Description: | |
| Abstract: |
Data is a source of knowledge for business. Mining knowledge from data to create value in the competitive business environment requires the use of specialized software. This software should be able to handle both large volumes of data and analysis tools (statistical methodologies, charts etc.) quickly and efficiently. In this book an attempt is made to present the RapidMiner software as a software that serves the above purposes. Studying the book aims to help the reader to get acquainted with the environment and functions of RapidMiner, as well as its applications to real problems. The author's ambition is to introduce the reader, in a simple and understandable way, to the use of RapidMiner software and how to apply it to specialized business questions.
|
| Linguistic Editors: |
Paxinou, Evgenia |
| Graphic Editors: |
Skouloudis, George |
| Type: |
Undergraduate textbook |
| Creation Date: | 29-04-2024 |
| Item Details: | |
| ISBN |
978-618-228-051-5 |
| License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| DOI | http://dx.doi.org/10.57713/kallipos-283 |
| Handle | http://hdl.handle.net/11419/10005 |
| Bibliographic Reference: | Maravelakis, P. (2024). Business Data Mining [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-283 |
| Language: |
Greek |
| Consists of: |
1. Introduction to Data Mining 2. Basic Steps in Data Mining 3. Introduction to RapidMiner 4. Building Decision Trees in RapidMiner 5. The k-Nearest Neighbor Algorithm and its Application in RapidMiner 6. The Naïve Bayes Classification Algorithm and its Applications in RapidMiner 7. Clustering with the k-means Algorithm 8. Text Analysis with RapidMiner |
| Number of pages |
250 |
| Publication Origin: |
Kallipos, Open Academic Editions |
| User comments | |
There are no published comments available! | |