Search Results - subject:"Data mining."

Connecting artificial intelligence to value creation in services : mechanism and implications

Kim, Minjun - In: Service business 17 (2023) 4, pp. 851-878

Persistent link: https://www.econbiz.de/10014504659

Applying text mining and semantic network analysis to investigate effects of perceived crowding in the service sector

Ellahi, Abida; Ul Ain, Qurat; Hafiz Mudassir Rehman; … - In: Cogent business & management 10 (2023) 2, pp. 1-18

Semantic analysis is becoming increasingly important not only in computing but also in the business world. The purpose of the current study is to apply semantic network analysis to the service industry, one of the economic sectors. To learn more about the crowded environment in the service...

Persistent link: https://www.econbiz.de/10014504919

Institutional innovation essence and knowledge innovation goal of intellectual property law in the big data era

Zhang, Chunling; Xu, Yumei - In: Journal of innovation & knowledge : JIK 8 (2023) 4, pp. 1-10

This work aims to expand the understanding on the nature of institutional innovation and the goal of knowledge innovation of intellectual property (IP) law in the era of big data (BD) and to avoid the risks of information security in the IP service system. On the basis of the era of BD, the...

Persistent link: https://www.econbiz.de/10014505225

A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions

Afriyie, Jonathan Kwaku; Tawiah, Kassim; Pels, … - In: Decision analytics journal 6 (2023), pp. 1-12

Fraudsters are now more active in their attacks on credit card transactions than ever before. With the advancement in data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent. We study the performance of three different machine...

Persistent link: https://www.econbiz.de/10014505835

An outliers detection and elimination framework in classification task of data mining

Dash, Ch. Sanjeev Kumar; Behera, Ajit Kumar; Dehuri, … - In: Decision analytics journal 6 (2023), pp. 1-8

sampling can have a significant outcome on statistical results. The goal of discovering outliers in data mining is to find a … the classification task of data mining where prior outliers preprocessing is necessary. …

Persistent link: https://www.econbiz.de/10014505859

A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization

Lahmiri, Salim; Bekiros, Stelios; Avdoulas, Christos - In: Decision analytics journal 6 (2023), pp. 1-8

The valuation of house prices is drawing noteworthy attention due to worldwide financial and real estate crises in the last decade. Therefore, there is an immediate need to design more effective predictive systems of house prices. Indeed, investors, creditors, and governments are all interested...

Persistent link: https://www.econbiz.de/10014505865

Data mining twitter for COVID-19 sentiments concerning college online education

Brandon, Daniel - In: Future Business Journal 9 (2023) 1, pp. 1-11

gathering methods, text data mining is now commonly used by businesses to go through their unstructured text in the form of … upon the public. In this study, text data mining was used to gain some insight into the feeling of Twitter users in regard … to the effect of COVID-19 and the switch to online education in colleges. This study found that Twitter data mining did …

Persistent link: https://www.econbiz.de/10014505942

A hybrid deep learning classifier and Optimized Key Windowing approach for drift detection and adaption

Talapula, Dharani Kumar; Kumar, Adarsh; Ravulakollu, … - In: Decision analytics journal 6 (2023), pp. 1-25

The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models...

Persistent link: https://www.econbiz.de/10014506219

Interdependency patterns of potential seaport risk factors in relation to supply chain disruption in Indonesia

Bagus, Muhammad Reza Do.; Hanaoka, Shinya - In: Journal of shipping and trade 8 (2023) 1, pp. 1-28

As an integral part of the global supply chain network, Indonesian supply chain entities should understand conditional seaport risk factors that could lead to seaport threats that affect supply chain continuity. This study aims to provide a procedure for evaluating the interdependencies,...

Persistent link: https://www.econbiz.de/10014512330

What semantic analysis can tell us about long term trends in the global STI policy agenda

Gochberg, Leonid Markovič; Meissner, Dirk; Kuzminov, Ilya - In: The journal of technology transfer 48 (2023) 6, pp. 2249-2277

Persistent link: https://www.econbiz.de/10014457850