Data Mining in Digital Marketing
Autor: | Özdal Koyuncuoğlu, Mahmut Tekin, Ertuğrul Tekin, Mehmet Etlioğlu |
---|---|
Rok vydání: | 2018 |
Předmět: |
Web server
Digital marketing Computer science business.industry Relational database 05 social sciences Intelligent decision support system computer.software_genre 0502 economics and business 050211 marketing Social media The Internet Data mining business computer Competence (human resources) 050212 sport leisure & tourism |
Zdroj: | Proceedings of the International Symposium for Production Research 2018 ISBN: 9783319922669 |
DOI: | 10.1007/978-3-319-92267-6_4 |
Popis: | With Industry 4.0, the Internet of objects, Internet services and cyber-physical systems have led to radical changes in every aspect of society. Artificial intelligence and intelligent systems that emerge together with technological developments are rapidly advancing towards becoming technologies that we use in almost every field of our lives and that are convenient for us. Thanks to these developments, computer systems, processor speeds and storage capacities have also increased cheaper computer systems and increasing processor speed and storage capacities have caused to be collected huge amounts of data. We have produce huge of data by the log files of WEB servers formed by the web sites we visit, blogs, photos, videos, texts etc. that we share through social media tools. Analysing increased diversity and volume of data and the result of this analysis is that more meaningful information and interpretation of the acquired knowledge is beyond what human competence and relational databases can do. At this point, data mining which allows large quantities of data to be transformed into meaningful and useful information, offers many advantages and facilities. |
Databáze: | OpenAIRE |
Externí odkaz: |