Abstract
The topic of data mining is a popular subject, especially nowadays. Data mining is a process which accesses the information among large-scale data and mine the knowledge. The most widespread use in the literature is to process large amounts of data automatically or semi-automatically to find meaningful patterns. Depending on the pace of the spread of Internet usage, digital media takes the place of traditional media, so the number of textual forms in digital media is increasing day by day. For this reason, text mining techniques should be used for text review. Such as text mining, data mining, machine learning technologies are related to the big data concept, and these technologies are used for increasing productivity in too many areas. According to the analysis in the United Kingdom and the United States, companies adopting decision-making based on data have been observed to be 5–10% higher in output and productivity than firms using only information technology components such as software products. So, even if small and medium enterprises can adopt these technologies in their life cycle can gain more productivity and economic profit in their areas.
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Tekin, A.T., Ozkale, N.L., Oztaysi, B. (2019). Big Data Concept in Small and Medium Enterprises: How Big Data Effects Productivity. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_30
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