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Data Mining Mobile Devices

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Home » Books » Science » Mathematics » Statistics » General

Data Mining Mobile Devices

By Jesus Mena

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Format: Hardcover, 309 pages
Other Information: Illustrated
Published In: United Kingdom, 21 June 2013
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. * Examines the construction and leveraging of mobile sites * Describes how to use mobile apps to gather key data about consumers' behavior and preferences * Discusses mobile mobs, which can be differentiated as distinct marketplaces-including Apple(R), Google(R), Facebook(R), Amazon(R), and Twitter(R) * Provides detailed coverage of mobile analytics via clustering, text, and classification AI software and techniques 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

Mobile Sites Why Mobile Sites? Developing a Mobile Site Mobile Biz Put Your Brand in Their Pocket Mobile Search Engine Optimization (SEO) Mobile Site Requirements A Mobile Site Checklist Constructing a Mobile Site When to Build a Mobile Site The Mobile Site Experience Getting Mobile Googled Mobile Is About Now! Mobile Payment$ Adobe Shadow(TM) Mobile Site Tester Mobile Cookies The ConnectMe QR(TM) Network Mobile Ad Networks Mobile Site Developers Mobile Site Development Case Studies OneIMS YoMobi MobiTily.com Tracking via Unique Device ID Mobile Site versus Apps Social Mobile Site Web and Wireless Sites Building a Mobile Site with HTML5 The Importance of Mobile Site Speed Mobile Site Marketing Challenges Construction of Mobile Sites Are a Top Priority Mobile Site Metrics Mobile Apps Why Apps? Google Mobile AdWords App HTML5 In Your Face Brand Apps Apps Metrics and Trends App Exchanges App Developer Alliance Entertainment Apps News Apps An App To-Do List "Picture-This" Apps Gov Apps A Stealth App Apps Overtake PCs Health Apps Building a Popular App An App Ad Reporter Biz Apps A Video App The Twitter Apps App Usage Patterns The Whispering Apps Hyper Targeting Apps Crashing Apps Mapping Apps The American App Economy Googling Apps Apps Options App Security Local Company Apps The $ Apps Ambient Social Network Apps App Developers App Demographics App Triangulating Services App Ad Agencies App Analytics Ads as Apps The Future of Apps Mobile Data How It Works Machine-to-Machine (M2M) Telemetry Mobile Data Metrics Mixing Personal and Business Mobile Data GPS and Wi-Fi Triangulation Backing Up Mobile Data Real-Time Demographics Hyperbolic Positioning Privacy Concern of Mobile Data Deep Packet Inspection (DPI) Mobile Marketing Data Mobile Data Aggregation Networks Mobile Video Data iPhone and Android ID Numbers Blocking Browsers Mobile Voice Recognition Data Mobile Data Assurance Service Mobile Facial Recognition Mobile Wallet Data Mobile Digital Fingerprinting Data Capturing Mobile Data Mobile Haptics Data Mobile Mad Men Mobile Data Privacy Policies Mobile Big Data Mobile Data Triangulation Techniques Mobile Data over Mobile Revenue Triangulation Targeting via Mobile Data The Mobile Data Challenge Triangulating Exchanges of Mobile Data The Future of Mobile Data Mobile Mobs The Mobs Deal Mobs Mobile Analytics: What, Where, How, and Why The Social Mobile Mobs The Apple Mobile Mob The Facebook Mobile Mob The Google Mobile Mob The Twitter Mobile Mob The Amazon Mobile Mob The Mobile Fab Four Mobile Analytics Mining Mobiles Mining Mobile Sites The Metrics of Mobile Analytics Google Mobile Analytics An Artificial Intelligence (AI) App Clustering Mobiles Mining Mobile Mail Text Mining Mobiles Classifying Mobiles Streaming Analytics Mining Mobile Mobs Mining Social Mobiles An Artificial Intelligence (AI) Mobile Business-to-Business (B2B) Marketing Analytics Mapping Mobiles Text Analytics Behavioral Analytics Streaming Analytics Mobile Site Analytics Social Mobile Consultancies Mobile Analytics Index

EAN: 9781466555952
ISBN: 1466555955
Publisher: Auerbach Publications
Dimensions: 23.88 x 16 x 2.29 centimetres (0.59 kg)
Age Range: 15+ years
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