Data Mining Mobile Devices, 1st Edition

  • Jesus Mena
  • Published By: Auerbach Publications
  • ISBN-10: 1466555963
  • ISBN-13: 9781466555969
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 328 Pages | eBook
  • Original Copyright 2013 | Published/Released November 2015
  • This publication's content originally published in print form: 2013

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With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. It explains how the integration of data mining and machine learning can enable the modeling of conversation context, proximity sensing, and geospatial location throughout large communities of mobile users.

Mobile devices serve as detailed diaries of a person, continuously and intimately broadcasting where, how, when, and what products, services, and content your consumers desire. The future is mobile—data mining starts and stops in consumers' pockets.Describing how to analyze Wi-Fi and GPS data from websites and apps, the book explains how to model mined data through the use of artificial intelligence software. It also discusses the monetization of mobile devices' desires and preferences that can lead to the triangulated marketing of content, products, or services to billions of consumers—in a relevant, anonymous, and personal manner.

Table of Contents

Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
1: Mobile Sites.
2: Mobile Apps.
3: Mobile Data.
4: Mobile Mobs.
5: Mobile Analytics.

Meet the Author

Author Bio

Jesus Mena

Jesús Mena (Alameda, CA) is a data mining consultant and writer with over 15 years experience. He is a former Artificial Intelligence Specialist for the Internal Revenue Service. Dozens of his articles have appeared in IT, Internet, Marketing, and AI publications. He is the author of Investigative Data Mining for Security and Criminal Detection, Data Mining Your Website, and WebMining for Profit.