Data capture and analysis

This invaluable resource examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge.

Map Use: Reading, Analysis, Interpretation, eighth edition is a comprehensive, foundational textbook designed for the college curriculum.

Data can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field.

A digital twin represents the indistinguishable digital counterpart of the physical object to simulate, monitor and test with real time synchronization.

A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystemKey FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book DescriptionApache Hadoop is a widely used distributed data platform.

Get to grips with building reliable, scalable, and maintainable database solutions for enterprises and production databasesKey FeaturesImplement PostgreSQL 13 features to perform end-to-end modern database managementDesign, manage, and build enterprise database solutions using a unique recipe-based approachSolve common and not-so-common challenges faced while working to achieve optimal database performanceBook DescriptionPostgreSQL has become the most advanced open source database on the market.

Build, manage, and configure high-performing, reliable NoSQL database for your applications with CassandraKey FeaturesWrite programs more efficiently using Cassandra's features with the help of examplesConfigure Cassandra and fine-tune its parameters depending on your needsIntegrate Cassandra database with Apache Spark and build strong data analytics pipelineBook DescriptionWith ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need.

Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Key Features A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Master open source Python tools to build sophisticated predictive models Book Description Social Media and the Internet of Things have resulted in an avalanche of data.

Understand the Ethereum platform to build distributed applications that are secured and decentralized using blockchain technologyKey FeaturesBuild your own decentralized applications using real-world blockchain examplesImplement Ethereum for building smart contracts and cryptocurrency applications with easy-to-follow projectsEnhance your application security with blockchainBook DescriptionEthereum enables the development of efficient, smart contracts that contain code.

This volume deals with two complementary topics.

Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases.

How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

The surging predictive analytics market is expected to grow from $10.

This book is a comprehensive introduction to visual computing, dealing with the modeling and synthesis of visual data by means of computers.

Data is powerful.

Machine learning is a vital part of numerous academic and financial applications, in areas ranging from health care and treatment to finding relevant information in social networks.

The quantitative polymerase chain reaction (qPCR) is a versatile and popular assay for quantifying nucleic acids.

This book focuses on the modern nuclear models and computer codes used in nuclear model calculations of nuclear data required for nuclear technology and nuclear safety applications.

This workshop followed the First International Conference, which was hosted by Fermilab, on 26-28 October, 1994.

At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made.

Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day.

This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators.

Advances in Information Storage Systems (AISS) series was initiated by ASME Press.

This book contains a selection of papers presented at the Fourth International Workshop on Parallel Image Analysis, held at the Laboratoire de l'Informatique du Parallelisme of the Ecole Normale Superieure de Lyon, France.

This book collects the research work of leading-edge researchers and practitioners in the areas of analysis, synthesis, design and implementation of real-time systems with applications in various industrial fields.

This book covers the principles, methodology, and prototypes of sensing skin-like devices and related intelligence and software.

Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory.

The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years.

This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks.

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.

The main goal of the new field of data mining is the analysis of large and complex datasets.

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute.

Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours.

Online social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site - actions which generate mind-boggling amounts of data every day.

There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata.

This book provides a comprehensive introduction on opinion analysis for online reviews.

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions.

This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future.

Este libro presenta una introducción a los sistemas de bases de datos en su contenido inicial, a fin de exponer las características que diferencian los sistemas de bases de datos con los sistemas de información basados en archivos, e identificar las funciones y roles esenciales de un Sistema de Gestión de Bases de Datos: SGBD (DBMS: Data Base Management Systems).

Next-generation DNA and RNA sequencing has revolutionized biology and medicine.

The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals.

This report is the 5th edition of ADB's A Comparative Analysis of Tax Administration in Asia and the Pacific.

This report is a key resource for understanding the dynamic trade and production linkages of South and Central Asian economies to support data-driven policy making and implementation.

This report is a key resource for understanding the dynamic trade and production linkages of East Asian economies to support data-driven policy making and implementation.

The Sustainable Development Goals (SDGs) set global, big-picture targets that nations have committed to attaining.

The Key Indicators for Asia and the Pacific 2020, the 51st edition of this series, includes the latest available economic, financial, social, and environmental indicators for the 49 regional members of the Asian Development Bank.

This edited volume offers critical reflections on an essential component of research method in the field of second language acquisition - data.

Since the first edition of "e;Data Science and Analytics with Python"e; we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning.