Smart Data

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Data Smart

Author : John W. Foreman
Publisher : John Wiley & Sons
ISBN 13 : 1118839862
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Smart by : John W. Foreman

Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

Smart Data

Author : Kuan-Ching Li
Publisher : CRC Press
ISBN 13 : 0429018037
Total Pages : 410 pages
Book Rating : 4.4/5 (29 download)

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Book Synopsis Smart Data by : Kuan-Ching Li

Download or read book Smart Data written by Kuan-Ching Li and published by CRC Press. This book was released on 2019-03-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers

Smart Data Pricing

Author : Soumya Sen
Publisher : John Wiley & Sons
ISBN 13 : 1118611667
Total Pages : 533 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Smart Data Pricing by : Soumya Sen

Download or read book Smart Data Pricing written by Soumya Sen and published by John Wiley & Sons. This book was released on 2014-09-09 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing: • Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content. • Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem. • Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience. • Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives. • Combines academic and industry expertise from multiple disciplines and business organizations. The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

Smart Data

Author : Kuan-Ching Li
Publisher : CRC Press
ISBN 13 : 0429018029
Total Pages : 477 pages
Book Rating : 4.4/5 (29 download)

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Book Synopsis Smart Data by : Kuan-Ching Li

Download or read book Smart Data written by Kuan-Ching Li and published by CRC Press. This book was released on 2019-03-19 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers

Smart Data Pricing

Author : Soumya Sen
Publisher : John Wiley & Sons
ISBN 13 : 1118899334
Total Pages : 536 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Smart Data Pricing by : Soumya Sen

Download or read book Smart Data Pricing written by Soumya Sen and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing: • Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content. • Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem. • Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience. • Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives. • Combines academic and industry expertise from multiple disciplines and business organizations. The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

Smart Data, Inc. V. United Parcel Service, Inc

Author :
Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.W/5 ( download)

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Book Synopsis Smart Data, Inc. V. United Parcel Service, Inc by :

Download or read book Smart Data, Inc. V. United Parcel Service, Inc written by and published by . This book was released on 1990 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Big Data to Smart Data

Author : Fernando Iafrate
Publisher : John Wiley & Sons
ISBN 13 : 1848217552
Total Pages : 88 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis From Big Data to Smart Data by : Fernando Iafrate

Download or read book From Big Data to Smart Data written by Fernando Iafrate and published by John Wiley & Sons. This book was released on 2015-03-30 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.

New Technologies, Artificial Intelligence and Smart Data

Author : Mohamed Tabaa
Publisher : Springer Nature
ISBN 13 : 3031473663
Total Pages : 216 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis New Technologies, Artificial Intelligence and Smart Data by : Mohamed Tabaa

Download or read book New Technologies, Artificial Intelligence and Smart Data written by Mohamed Tabaa and published by Springer Nature. This book was released on 2023-11-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the 10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023. After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topics of data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.

Applied Machine Learning for Smart Data Analysis

Author : Nilanjan Dey
Publisher : CRC Press
ISBN 13 : 0429804571
Total Pages : 225 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Applied Machine Learning for Smart Data Analysis by : Nilanjan Dey

Download or read book Applied Machine Learning for Smart Data Analysis written by Nilanjan Dey and published by CRC Press. This book was released on 2019-05-20 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications

Smart Data

Author : James A. George
Publisher : John Wiley & Sons
ISBN 13 : 9780470583043
Total Pages : 400 pages
Book Rating : 4.5/5 (83 download)

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Book Synopsis Smart Data by : James A. George

Download or read book Smart Data written by James A. George and published by John Wiley & Sons. This book was released on 2010-03-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization. They believe that “smart data” as a corporate priority could revolutionize government or commercial enterprise performance much like “six sigma” or “total quality” as organizing paradigms have done in the past. This revolution has not yet taken place because data historically resides in the province of the information resources organization. Solutions that render data smart are articulated in “technoid” terms versus the language of the board room. While books such as Adaptive Information by Pollock and Hodgson ably describe the current state of the art, their necessarily technical tone is not conducive to corporate or agency wide qualitative change.

Big Data Analyses, Services, and Smart Data

Author : Wookey Lee
Publisher : Springer Nature
ISBN 13 : 9811587310
Total Pages : 127 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data Analyses, Services, and Smart Data by : Wookey Lee

Download or read book Big Data Analyses, Services, and Smart Data written by Wookey Lee and published by Springer Nature. This book was released on 2020-09-10 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction, and promote collaborative research in the field of big data worldwide. BigDAS 2018 was held in Zhengzhou, China, on August 19–22, 2018, and organized by the Korea Big Data Service Society and TusStar. The goal of IEEE BigComp, initiated by Korean Institute of Information Scientists and Engineers (KIISE), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in the emerging fields of big data and smart computing. IEEE BigComp 2019 was held in Kyoto, Japan, on February 27–March 02, 2019, and co-sponsored by IEEE and KIISE.

Big Data for a Sustainable Smart City

Author : Dr. Rehana Kassim
Publisher : Partridge Publishing Singapore
ISBN 13 : 1543766854
Total Pages : 101 pages
Book Rating : 4.5/5 (437 download)

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Book Synopsis Big Data for a Sustainable Smart City by : Dr. Rehana Kassim

Download or read book Big Data for a Sustainable Smart City written by Dr. Rehana Kassim and published by Partridge Publishing Singapore. This book was released on 2021-09-28 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Big Data for a Sustainable Smart City, is an overview of the role of big data in the sustainability of a smart city. The book looks at the future trends and challenges in the use of big data, with discussions on big data and its implementation contextually elaborated, touching on several subdomains of smart city, such as smart infrastructure, smart healthcare, and smart grid. As distributed ledger technology and blockchain have increasingly become part and parcel of big data, with potential role as alternative currency and authenticity instrument, the book also included discussions on distributed ledger technology. Highlights on social technology fusion as mooted by the concept of Society 5.0 is discussed as a continuation of technocentric IR 4.0 growth. The book concludes with hope and concern that society will be facing in tandem with its adoption.

From Big to Smart Data. How can Data Analytics support Strategic Decisions to gain Competitive Advantage?

Author : Alexej Eichmann
Publisher : GRIN Verlag
ISBN 13 : 3668074704
Total Pages : 29 pages
Book Rating : 4.6/5 (68 download)

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Book Synopsis From Big to Smart Data. How can Data Analytics support Strategic Decisions to gain Competitive Advantage? by : Alexej Eichmann

Download or read book From Big to Smart Data. How can Data Analytics support Strategic Decisions to gain Competitive Advantage? written by Alexej Eichmann and published by GRIN Verlag. This book was released on 2015-10-26 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2015 in the subject Business economics - Operations Research, grade: 1, University of Applied Sciences Essen, language: English, abstract: One of the biggest challenges currently and in the upcoming years is the amount of data generated worldwide, which will increase exponentially by factor 10. The challenge for business leaders in the era of Big Data will be to identify and to use the most relevant data for decision-making in the context of Strategic Management. This assignment analysis which relevance data analytics of Big respectively Smart Data nowadays has and how it can be utilized in enterprises to gain a higher degree of competitive advantage. Therefore a few selected examples and use cases are provided on the Corporate, Business and Functional level of Strategic Management. Business leaders are using data analytics to understand cost and revenue drivers, to evaluate risks and to predict trends to improve business performance and to foster innovation. Studies show, that Big Data will revolutionize business operations and change the way of doing business. Companies not dealing with Big Data will lose their competitive advantage. With a deeper understanding of customers’ behavior and demands through analysis of Big Data, companies can find new ways to approach existing and potential customers by improved or new products. Criticism related to this is the debate about data security and data privacy and the misuse of personal data.

Smart Grids and Big Data Analytics for Smart Cities

Author : Chun Sing Lai
Publisher : Springer Nature
ISBN 13 : 3030521559
Total Pages : 403 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Smart Grids and Big Data Analytics for Smart Cities by : Chun Sing Lai

Download or read book Smart Grids and Big Data Analytics for Smart Cities written by Chun Sing Lai and published by Springer Nature. This book was released on 2020-10-31 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.

Big Data Privacy and Security in Smart Cities

Author : Richard Jiang
Publisher : Springer Nature
ISBN 13 : 303104424X
Total Pages : 248 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Big Data Privacy and Security in Smart Cities by : Richard Jiang

Download or read book Big Data Privacy and Security in Smart Cities written by Richard Jiang and published by Springer Nature. This book was released on 2022-09-08 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.

SmartData

Author : Inman Harvey
Publisher : Springer Science & Business Media
ISBN 13 : 1461464099
Total Pages : 215 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis SmartData by : Inman Harvey

Download or read book SmartData written by Inman Harvey and published by Springer Science & Business Media. This book was released on 2013-03-23 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: SmartData empowers personal data by wrapping it in a cloak of intelligence such that it now becomes the individual’s virtual proxy in cyberspace. No longer will personal data be shared or stored in the cloud as merely data, encrypted or otherwise; it will now be stored and shared as a constituent of the binary string specifying the entire SmartData agent. This agent proactively builds-in privacy, security and user preferences, right from the outset, not as an afterthought. SmartData: Privacy Meets Evolutionary Robotics includes the advances made in the technology of simulating virtual worlds, together with the ideas emerging from fields of evolutionary robotics and embodied cognition within a framework of dynamical systems as an approach toward this ultimate goal. The book brings together top researchers in the field and addresses current personal data privacy challenges in the online-world.

Big Data Preprocessing

Author : Julián Luengo
Publisher : Springer Nature
ISBN 13 : 3030391051
Total Pages : 193 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Preprocessing by : Julián Luengo

Download or read book Big Data Preprocessing written by Julián Luengo and published by Springer Nature. This book was released on 2020-03-16 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big Data scenarios and connect it with the emerging paradigms of IoT and edge computing, where the end points generate Smart Data without completely relying on the cloud. Finally, this book provides some novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing techniques applied and some other open problems. Practitioners and data scientists who work in this field, and want to introduce themselves to preprocessing in large data volume scenarios will want to purchase this book. Researchers that work in this field, who want to know which algorithms are currently implemented to help their investigations, may also be interested in this book.