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Data Mining Mobile Devices
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Book Synopsis Data Mining Mobile Devices by : Jesus Mena
Download or read book Data Mining Mobile Devices written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 pertainin
Book Synopsis Data Mining Mobile Devices by : Jesus Mena
Download or read book Data Mining Mobile Devices written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 pertainin
Book Synopsis Interactive Data Mining Results Visualization on Mobile Devices by : Muzammil Khan
Download or read book Interactive Data Mining Results Visualization on Mobile Devices written by Muzammil Khan and published by . This book was released on 2013-09-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pocket Data Mining by : Mohamed Medhat Gaber
Download or read book Pocket Data Mining written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2013-10-19 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Studyguide for Data Mining Mobile Devices by Mena, Jesus, Isbn 9781466555952 by : Cram101 Textbook Reviews
Download or read book Studyguide for Data Mining Mobile Devices by Mena, Jesus, Isbn 9781466555952 written by Cram101 Textbook Reviews and published by Cram101. This book was released on 2013-08 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781466555952. This item is printed on demand.
Download or read book Mobile Data Mining written by Yuan Yao and published by Springer. This book was released on 2018-10-31 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief presents a typical life-cycle of mobile data mining applications, including: data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on smartphone sensors feature engineering which extracts and selects features to serve as the input of algorithms based on the collected and processed data model and algorithm design In particular, this brief concentrates on the model and algorithm design aspect, and explains three challenging requirements of mobile data mining applications: energy-saving, personalization, and real-time Energy saving is a fundamental requirement of mobile applications, due to the limited battery capacity of smartphones. The authors explore the existing practices in the methodology level (e.g. by designing hierarchical models) for saving energy. Another fundamental requirement of mobile applications is personalization. Most of the existing methods tend to train generic models for all users, but the authors provide existing personalized treatments for mobile applications, as the behaviors may differ greatly from one user to another in many mobile applications. The third requirement is real-time. That is, the mobile application should return responses in a real-time manner, meanwhile balancing effectiveness and efficiency. This SpringerBrief targets data mining and machine learning researchers and practitioners working in these related fields. Advanced level students studying computer science and electrical engineering will also find this brief useful as a study guide.
Book Synopsis Mobile Data Mining and Applications by : Hao Jiang
Download or read book Mobile Data Mining and Applications written by Hao Jiang and published by Springer. This book was released on 2019-05-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Multimedia Data Mining and Analytics by : Aaron K. Baughman
Download or read book Multimedia Data Mining and Analytics written by Aaron K. Baughman and published by Springer. This book was released on 2015-03-31 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Investigative Data Mining for Security and Criminal Detection by : Jesus Mena
Download or read book Investigative Data Mining for Security and Criminal Detection written by Jesus Mena and published by Butterworth-Heinemann. This book was released on 2003 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description
Book Synopsis Pocket Data Mining by : Mohamed Medhat Gaber
Download or read book Pocket Data Mining written by Mohamed Medhat Gaber and published by . This book was released on 2013-11-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Managing and Mining Sensor Data by : Charu C. Aggarwal
Download or read book Managing and Mining Sensor Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2013-01-15 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Intrusion Detection in Mobile Phone Systems Using Data Mining Techniques by : Bharat Kumar Addagada
Download or read book Intrusion Detection in Mobile Phone Systems Using Data Mining Techniques written by Bharat Kumar Addagada and published by . This book was released on 2010 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mobile Data Visualization by : Bongshin Lee
Download or read book Mobile Data Visualization written by Bongshin Lee and published by CRC Press. This book was released on 2021-12-22 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Mining in Dynamic Social Networks and Fuzzy Systems by : Bhatnagar, Vishal
Download or read book Data Mining in Dynamic Social Networks and Fuzzy Systems written by Bhatnagar, Vishal and published by IGI Global. This book was released on 2013-06-30 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Temporal Data Mining by : Theophano Mitsa
Download or read book Temporal Data Mining written by Theophano Mitsa and published by CRC Press. This book was released on 2010-03-10 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.
Book Synopsis When Companies Spy on You by : Jeri Freedman
Download or read book When Companies Spy on You written by Jeri Freedman and published by Cavendish Square Publishing, LLC. This book was released on 2017-07-15 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Warehousing and Mining by : John Wang
Download or read book Data Warehousing and Mining written by John Wang and published by . This book was released on 2008 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
