Data Mining Mobile Devices

Author : Jesus Mena
Publisher : CRC Press
Page : 328 pages
File Size : 47,6 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781466555969

Get Book

Data Mining Mobile Devices by Jesus Mena Pdf

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®, Google®, Facebook®, Amazon®, and Twitter® 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.

Author : Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Publisher : Springer Science & Business Media
Page : 108 pages
File Size : 48,6 Mb
Release : 2013-10-19
Category : Technology & Engineering
ISBN : 9783319027111

Get Book

Pocket Data Mining by Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes Pdf

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Author : Hao Jiang,Qimei Chen,Yuanyuan Zeng,Deshi Li
Publisher : Springer
Page : 227 pages
File Size : 53,8 Mb
Release : 2019-05-10
Category : Technology & Engineering
ISBN : 9783030165031

Get Book

Mobile Data Mining and Applications by Hao Jiang,Qimei Chen,Yuanyuan Zeng,Deshi Li Pdf

This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities. In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.

Author : Aaron K. Baughman,Jiang Gao,Jia-Yu Pan,Valery A. Petrushin
Publisher : Springer
Page : 454 pages
File Size : 44,5 Mb
Release : 2015-03-31
Category : Computers
ISBN : 9783319149981

Get Book

Multimedia Data Mining and Analytics by Aaron K. Baughman,Jiang Gao,Jia-Yu Pan,Valery A. Petrushin Pdf

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Author : Mohamed Medhat Gaber,Frédéric Stahl,Joao Bartolo Gomes
Publisher : Unknown
Page : 120 pages
File Size : 55,5 Mb
Release : 2013-11-30
Category : Electronic
ISBN : 3319027123

Get Book

Pocket Data Mining by Mohamed Medhat Gaber,Frédéric Stahl,Joao Bartolo Gomes Pdf

Author : Jesus Mena
Publisher : Butterworth-Heinemann
Page : 476 pages
File Size : 41,7 Mb
Release : 2003
Category : Business & Economics
ISBN : 0750676132

Get Book

Investigative Data Mining for Security and Criminal Detection by Jesus Mena Pdf

Publisher Description

Author : John Wang
Publisher : Unknown
Page : 684 pages
File Size : 53,8 Mb
Release : 2008
Category : Data mining
ISBN : IND:30000124694666

Get Book

Data Warehousing and Mining by John Wang Pdf

"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.

Author : Martin Atzmueller,Andreas Hotho,Markus Strohmaier,Alvin Chin
Publisher : Springer Science & Business Media
Page : 171 pages
File Size : 47,9 Mb
Release : 2011-08-30
Category : Computers
ISBN : 9783642235986

Get Book

Analysis of Social Media and Ubiquitous Data by Martin Atzmueller,Andreas Hotho,Markus Strohmaier,Alvin Chin Pdf

This book constitutes the joint thoroughly refereed post-proceedings of The Modeling Social Media Workshop, MSM 2010 held in Toronto, Canada in June 2010 and the International Workshop on Mining Ubiquitous and Social Environments, MUSE 2010, held in Barcelona, Spain in September 2010. The eight revised full papers included were carefully reviewed and selected after two rounds of reviewing and revision. The papers address various aspects of the analysis and engineering of socio-computational systems in which social, ubiquitous and computational processes are interdependent and tightly interwoven

Author : Bhatnagar, Vishal
Publisher : IGI Global
Page : 412 pages
File Size : 41,8 Mb
Release : 2013-06-30
Category : Computers
ISBN : 9781466642140

Get Book

Data Mining in Dynamic Social Networks and Fuzzy Systems by Bhatnagar, Vishal Pdf

Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 55,7 Mb
Release : 2013-01-15
Category : Computers
ISBN : 9781461463092

Get Book

Managing and Mining Sensor Data by Charu C. Aggarwal Pdf

Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Author : Jeri Freedman
Publisher : Cavendish Square Publishing, LLC
Page : 114 pages
File Size : 50,6 Mb
Release : 2017-07-15
Category : Juvenile Nonfiction
ISBN : 9781502626752

Get Book

When Companies Spy on You by Jeri Freedman Pdf

Businesses used to contact buyers by placing advertisements in newspapers, magazines, and on television and radio. Now they monitor your online shopping and product browsing habits. This book looks as the ways businesses spy on patrons, examines the reasons the marketplace has changed, argues the pros and cons of keeping tabs on cyber shoppers, and outlines the advantages corporate mining gives to larger companies.

Author : Nick Cercone,Tsau Y. Lin,Xindong Wu
Publisher : IEEE Computer Society Press
Page : 704 pages
File Size : 45,6 Mb
Release : 2001
Category : Data mining
ISBN : STANFORD:36105111362914

Get Book

2001 IEEE International Conference on Data Mining by Nick Cercone,Tsau Y. Lin,Xindong Wu Pdf

Author : Bongshin Lee,Raimund Dachselt,Petra Isenberg,Eun Kyoung Choe
Publisher : CRC Press
Page : 383 pages
File Size : 49,7 Mb
Release : 2021-12-22
Category : Computers
ISBN : 9781000522808

Get Book

Mobile Data Visualization by Bongshin Lee,Raimund Dachselt,Petra Isenberg,Eun Kyoung Choe Pdf

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create effective visualizations for mobile devices? This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Mobile Data Visualization is the first book to provide an overview of how to effectively visualize, analyze, and communicate data on mobile devices. Drawing from the expertise, research, and experience of an international range of academics and practitioners from across the domains of Visualization, Human Computer Interaction, and Ubiquitous Computing, the book explores the challenges of mobile visualization and explains how it differs from traditional data visualization. It highlights opportunities for reaching new audiences with engaging, interactive, and compelling mobile content. In nine chapters, this book presents interesting perspectives on mobile data visualization including: how to characterize and classify mobile visualizations; how to interact with them while on the go and with limited attention spans; how to adapt them to various mobile contexts; specific methods on how to design and evaluate them; reflections on privacy, ethical and other challenges, as well as an outlook to a future of ubiquitous visualization. This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.

Author : Anonim
Publisher : Unknown
Page : 882 pages
File Size : 54,9 Mb
Release : 2004
Category : Data mining
ISBN : UOM:39015058295968

Get Book

Intelligent Data Engineering and Automated Learning by Anonim Pdf

Author : Nathan Eagle,Kate Greene
Publisher : MIT Press
Page : 207 pages
File Size : 55,8 Mb
Release : 2014-08
Category : Computers
ISBN : 9780262027687

Get Book

Reality Mining by Nathan Eagle,Kate Greene Pdf

In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data ("reality mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. --