Search Results - subject:"Machine Learning"

A new comparative model for national innovation systems based on machine learning classification techniques

Alnafrah, Ibrahim; Zeno, Bassel - In: Innovation and development : RIAD 10 (2020) 1, pp. 45-66

Persistent link: https://www.econbiz.de/10012174915

Uniting the tribes : using text for marketing insight

Berger, Jonah; Humphreys, Ashlee; Ludwig, Stephan; Moe, … - In: Journal of marketing 84 (2020) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10012176296

Business-to-business e-negotiations and influence tactics

Singh, Sunil K.; Marinova, Detelina; Singh, Jagdip - In: Journal of marketing 84 (2020) 2, pp. 47-68

Persistent link: https://www.econbiz.de/10012176558

Comparative study on IDS using machine learning approaches for software defined networks

Sudar, K. Muthamil; Deepalakshmi, P. - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 15-27

Persistent link: https://www.econbiz.de/10012177215

Predicting personality : using AI to understand people and win more business

D'Agostino, Drew; Skloot, Greg - 2020

'Agostino exposes how businesses can reap the benefits of AI and machine learning today, not tomorrow. Readers will not only learn what … exciting new branch of artificial intelligence--Personality AI--is setting out to change that: marrying traditional machine … learning, data analytics, and behavioral psychology, Personality AI helps professional communicators break through the noise …

Persistent link: https://www.econbiz.de/10012108927

Climate change and tourism in English-language newspaper publications

Ma, Shihan; Kirilenko, Andrei - In: Journal of travel research : a quarterly publication of … 59 (2020) 2, pp. 352-366

Persistent link: https://www.econbiz.de/10012151674

Random sampling and machine learning to understand good decompositions

Basso, S.; Ceselli, A.; Tettamanzi, A. - In: Decomposition methods for hard optimization problems, (pp. 501-526). 2020

Persistent link: https://www.econbiz.de/10012157111

A hybrid model for predicting human physical activity status from lifelogging data

Ni, Ji; Chen, Bowei; Allinson, Nigel; Ye, Xujiong - In: European journal of operational research : EJOR 281 (2020) 3, pp. 532-542

Persistent link: https://www.econbiz.de/10012157383

Predicting customer demand for remanufactured products : a data-mining approach

Truong Van Nguyen; Zhou, Li; Chong, Alain Yee Loong; … - In: European journal of operational research : EJOR 281 (2020) 3, pp. 543-558

Persistent link: https://www.econbiz.de/10012157390

A machine learning framework for customer purchase prediction in the non-contractual setting

Martínez Moreno, Andrés; Schmuck, Claudia; … - In: European journal of operational research : EJOR 281 (2020) 3, pp. 588-596

Persistent link: https://www.econbiz.de/10012157398