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Mining WiFi Data for Business Intelligence
3 references·1 citing·16 second hop
Mining WiFi Data for Business Intelligence (2013)Mining WiFi Data for Business IntelligencePredicting length of stay at WiFi hotspots (2013)Predicting length of stay at …Data Mining in the Telecommunications Industry (2009)Data Mining in the Telecommun…Identifying Meaningful Places: The Non-parametric Way (2008)Identifying Meaningful Places…Characterizing On-Bus WiFi Passenger Behaviors by Approximate Search and Cluster Analysis (2016)Characterizing On-Bus WiFi Pa…The Handbook of Social Psychology (1969)Place and Placelessness (1978)Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Applying mobile phone data to travel behaviour research: A literature review (2017)Place and Placelessness (2018)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Turning telecommunications call details to churn prediction: a data mining approach (2002)Customer Lifetime Value Models for Decision Support (2003)Exploring consumer adoption of new services by analyzing the behavior of 3G subscribers: An empirical case study (2011)Data Mining Models as a Tool for Churn Reduction and Custom Product Development in Telecommunication Industries (2013)Strategies in managing risks in the adoption of business analytics practices (2016)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)Need accurate user behaviour? (2015)A vehicle-based edge computing platform for transit and human mobility analytics (2017)Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop (2019)
this work references cited by second hop

References

  • 2008Identifying Meaningful Places: The Non-parametric Way54 cited
  • 2013Predicting length of stay at WiFi hotspots47 cited
  • 2009Data Mining in the Telecommunications Industry33 cited

Cited by

  • 2016Characterizing On-Bus WiFi Passenger Behaviors by Approximate Search and Cluster Analysis4 cited

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