Mobile Data Mining And Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mobile Data Mining And Applications PDF full book. Access full book title Mobile Data Mining And Applications.
Author | : Hao Jiang |
Publisher | : Springer |
Total Pages | : 227 |
Release | : 2019-05-10 |
Genre | : Technology & Engineering |
ISBN | : 3030165035 |
Download Mobile Data Mining and Applications Book in PDF, ePub and Kindle
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 | : Yuan Yao |
Publisher | : Springer |
Total Pages | : 58 |
Release | : 2018-10-31 |
Genre | : Computers |
ISBN | : 3030021017 |
Download Mobile Data Mining Book in PDF, ePub and Kindle
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.
Author | : Jesus Mena |
Publisher | : CRC Press |
Total Pages | : 317 |
Release | : 2016-04-19 |
Genre | : Business & Economics |
ISBN | : 1466555963 |
Download Data Mining Mobile Devices Book in PDF, ePub and Kindle
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
Author | : Yanchang Zhao |
Publisher | : Academic Press |
Total Pages | : 493 |
Release | : 2013-11-26 |
Genre | : Computers |
ISBN | : 0124115209 |
Download Data Mining Applications with R Book in PDF, ePub and Kindle
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website. Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries Presents various case studies in real-world applications, which will help readers to apply the techniques in their work Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves
Author | : Kenneth D. Lawrence |
Publisher | : Auerbach Publications |
Total Pages | : 340 |
Release | : 2008 |
Genre | : Business & Economics |
ISBN | : |
Download Data Mining Methods and Applications Book in PDF, ePub and Kindle
Addressing a variety of organizational issues, Data Mining Methods and Applications presents a compilation of recent research works on data mining and forecasting techniques, including multivariate, evolutionary, and neural net methods. This book focuses in particular on data mining techniques used for conducting marketing research. Written by a wide range of contributors from academia and industry, this text provides detailed descriptions of applications in numerous areas, such as finance, engineering, healthcare, economics, science, and management. Real-world case studies that are supported by theoretical chapters offer guidance on how to actually perform data mining methods.
Author | : Ken Yale |
Publisher | : Elsevier |
Total Pages | : 824 |
Release | : 2017-11-09 |
Genre | : Mathematics |
ISBN | : 0124166458 |
Download Handbook of Statistical Analysis and Data Mining Applications Book in PDF, ePub and Kindle
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Author | : Daniel Barbará |
Publisher | : Springer Science & Business Media |
Total Pages | : 266 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 146150953X |
Download Applications of Data Mining in Computer Security Book in PDF, ePub and Kindle
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.
Author | : Bhavani Thuraisingham |
Publisher | : CRC Press |
Total Pages | : 542 |
Release | : 2003-06-26 |
Genre | : Business & Economics |
ISBN | : 0203499514 |
Download Web Data Mining and Applications in Business Intelligence and Counter-Terrorism Book in PDF, ePub and Kindle
The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta
Author | : Taniar, David |
Publisher | : IGI Global |
Total Pages | : 340 |
Release | : 2006-10-31 |
Genre | : Computers |
ISBN | : 1599042738 |
Download Research and Trends in Data Mining Technologies and Applications Book in PDF, ePub and Kindle
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
Author | : S. Sumathi |
Publisher | : Springer |
Total Pages | : 836 |
Release | : 2006-10-12 |
Genre | : Computers |
ISBN | : 3540343512 |
Download Introduction to Data Mining and its Applications Book in PDF, ePub and Kindle
This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.