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Association rule learning to improve deficiency inspection in port state control

Chung, Wu-Hsun; Kao, Sheng-Long; Chang, Chun-Min; Yuan, … - In: Maritime policy & management 47 (2020) 3, pp. 332-351

Persistent link: https://www.econbiz.de/10012210404

COMPARISON OF APRIORI AND FP-GROWTH ALGORITHMS ON DETERMINATION OF ASSOCIATION RULES IN AUTHORIZED AUTOMOBILE SERVICE CENTRES

Erpolat, Semra - In: Anadolu University Journal of Social Sciences 12 (2012) 2, pp. 137-146

Data Mining is used to describe the totality of techniques which aim to find the unexplored patterns in a set of data. The purpose of data mining is to create models of decision-making devoted to estimations of future behavior based on analysis of past activities. In this study the shopping data...

Persistent link: https://www.econbiz.de/10010562486

Social wireless network user big data mining based on Python platform and hierarchical clustering computing

Wang, Kun; Liang, Xiangbo - In: International journal of networking and virtual … 25 (2021) 1, pp. 62-82

Persistent link: https://www.econbiz.de/10012672101

Mobile app recommendation : an involvement-enhanced approach

He, Jiangning; Fang, Xiao; Liu, Hongyan; Li, Xindan - In: Management information systems : mis quarterly 43 (2019) 3, pp. 827-849

Persistent link: https://www.econbiz.de/10012062111

Integrating customer clustering and QFD to improve and develop services : a case study

Lalvand, Neda; Owlia, Mohammad Saleh - In: International journal of business innovation and … 35 (2024) 2, pp. 219-237

Persistent link: https://www.econbiz.de/10015076199

Association rule mining for identification of port state control patterns in Malaysian ports

Osman, Mohd Tarmizi; Chen, Yuli; Tian, Li; Syahrul … - In: Maritime policy & management 48 (2021) 8, pp. 1082-1095

Persistent link: https://www.econbiz.de/10012804323

WAP Log Mining als Instrument der Marketingforschung für Mobile Commerce

Bensberg, Frank - In: Mobile commerce : Grundlagen, Geschäftsmodelle, …, (pp. 153-172). 2002

Persistent link: https://www.econbiz.de/10001631051

Kursrelevanzprognosen von Ad-hoc-Meldungen : Text Mining wider die Informationsüberlastung im Mobile Banking

Schulz, Anja; Spiliopoulou, Myra; Winkler, Karsten - 2003

Persistent link: https://www.econbiz.de/10001793683

Knowledge discovery in mobile business data

Nayak, Richi; Seow, Lawrence - In: Mobile commerce applications, (pp. 117-139). 2004

Persistent link: https://www.econbiz.de/10002370956

Assessing Prime-Time for Geotargeting with Mobile Big Data

Banerjee, Syagnik (Sy) - 2015

Effective marketing depends on knowledge of customer behavior and competition. This is especially true for Location Based marketers who risk sending alerts at inopportune moments or to the wrong targets. This study analyzes check-ins around Times Square in New York City using Foursquare, a...

Persistent link: https://www.econbiz.de/10013022321