This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techn
This book examines air pollution of a big city using multi-year and multi-season data from ground-based air monitoring stations and satellite sounding data, which provides more clear and detailed info
For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shapes our everyday objects, integrating chips: computers, phones, keys, games, household appliances, etc. Data, so
The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, epigenomic, physiological, image and clinical data. Th
This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary c
This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the
This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will descr
From Ars Technica senior business editor Cyrus Farivar, a critical and historic look at how 50 years of American privacy law is inadequate for the near-future of surveillanceShow me the data! Until th
This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception through implementation and follow-up. Through first-hand experie
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, po
From Sumatra to Java, from the Moluccas to Papua, across the whole of Indonesia, ancestors have played and still play a leading role. The cults and representations are evidence of an enormous diversit
This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms – for wired
This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap t
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The b
In Cooking Data Crystal Biruk offers an ethnographic account of research into the demographics of HIV and AIDS in Malawi to rethink how quantitative health data is produced. While research practices a
"This book investigates the incorporation of pattern management in business technologies as well as decision-making and prediction process. It brings together the common issues of data management and
As jobs become increasingly similar, there are two skills that everyone needs if they’re going to thrive. These are the ability to interrogate and make sense of data, and the ability to use insights e
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of
This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuse
This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance
This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore
This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to ai
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information source
For the past century and more, the story of capitalism has been a story of firms and financiers. Thanks to the Big Data revolution, soon, it won't be. As Viktor Mayer-Sch?nberger, bestselling author o
Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional ac
II. Sensation, Perception & Attention: John Serences (Volume Editor) (Topics covered include taste; visual object recognition; touch; depth perception; motor control; perceptual learning; the inte
II. Sensation, Perception & Attention: John Serences (Volume Editor) (Topics covered include taste; visual object recognition; touch; depth perception; motor control; perceptual learning; the inte
This book will be a “must” for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working
A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual fo
In this work, Carol V.A. Quinn considers survivors’ arguments in the debate concerning the ethics of using Nazi medical data, showing what it would mean to take their claims seriously. Her approach is
Sexuality is a complex and multifaceted domain – encompassing bodily, contextual and subjective experiences that resist ready categorisation. To claim the sexual as a viable research object therefore
This book presents a theory of information justice that subsumes the question of control and relates it to other issues that influence just social outcomes. ?Data does not exist by nature. Bureaucrati
This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filte
Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data
For undergraduate and graduate courses in Business Data Communication / Networking (MIS). Prepare for the modern workplace with networking and security essentials With a clear writing style
Author Mani Mahjouri created a technology called QuantVR that produces breathtaking visualizations of highly complex phenomena involving markets. With Data Visualization for Traders, he shows traders
Analytics has become a key driver of competitive advantage for organizations, underpinning new waves of productivity, growth, innovation, and customer insights. As the availability of data increases,
"This book presents the concepts of big data, explores its analytics and technologies and their applications and develops an understanding of issues pertaining to the use of big data in multidisciplin
"This book explores the extraction and prediction of patterns at multiple levels of abstraction. It involves a procedure handling both numeric and nominal data at once using a single method and the me
STATISTICS: LEARNING FROM DATA, Second Edition, addresses common problems faced by students and instructors with an innovative approach to elementary statistics. Translating research on student learni
