Data mining

This book brings insight into data science and offers applications and implementation strategies.

This book brings insight into data science and offers applications and implementation strategies.

This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation.

This book focuses on green computing-based network security techniques and addresses the challenges involved in practical implementation.

Data is an intrinsic part of our daily lives.

Data is an intrinsic part of our daily lives.

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term.

Cyberspace is changing the face of crime.

Cyberspace is changing the face of crime.

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science.

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science.

Data science revolves around two giants: Big Data analytics and Deep Learning.

Data science revolves around two giants: Big Data analytics and Deep Learning.

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis.

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

The editors of the HIMSS Books' best-seller Health: From Smartphones to Smart Systems have returned to deliver an expansive survey of the initiatives, innovators, and technologies driving the patient-centered mobile healthcare revolution.

The extreme transformation from a traditional Communication Service Provider (CSP) to a Digital Service Provider (DSP) status is covered in this book, specifically: Redefinition of the offerings of "e;connectivity services"e; to "e;digital services"e;; unification of legacy redundant networks into one; Redefinition of the measurements to customer-centric QoE for all digital and connectivity services; the Best-in-Industry processes and practices to ensure a sustainable network performance at a competitively operational efficiency; a Service-over-IP (SoIP) platform to enable the introduction of unified new services with a time-to-market urgency; the regulatory arrangement for content purification, to liberalize CSPs to become DSPs; an architecture for data mining and analytics; and a migration plan from a CSP to a DSP status.

The extreme transformation from a traditional Communication Service Provider (CSP) to a Digital Service Provider (DSP) status is covered in this book, specifically: Redefinition of the offerings of "e;connectivity services"e; to "e;digital services"e;; unification of legacy redundant networks into one; Redefinition of the measurements to customer-centric QoE for all digital and connectivity services; the Best-in-Industry processes and practices to ensure a sustainable network performance at a competitively operational efficiency; a Service-over-IP (SoIP) platform to enable the introduction of unified new services with a time-to-market urgency; the regulatory arrangement for content purification, to liberalize CSPs to become DSPs; an architecture for data mining and analytics; and a migration plan from a CSP to a DSP status.

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services.

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services.

There is an urgent need to develop robust strategies to respond to and leverage new and emerging technologies, particularly those based on artificial intelligence (AI).

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models.

Data Analytics: A Small Data Approach is suitable for an introductory data analytics course to help students understand some main statistical learning models.

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics.

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics.

New technologies mean that sports clubs and governing bodies are generating more data than ever to help manage their relationship with fans, their performance, and their income streams.

New technologies mean that sports clubs and governing bodies are generating more data than ever to help manage their relationship with fans, their performance, and their income streams.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.

This book focuses on the recent advents and technological breakthroughs in metagenomic approaches coupled with their applications in agriculture.

This book focuses on the recent advents and technological breakthroughs in metagenomic approaches coupled with their applications in agriculture.

"e;This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructurea .

"e;This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructurea .

Good data analytics is the basis for effective decisions.

Good data analytics is the basis for effective decisions.

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics.

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics.

This book covers the technology of digital image processing in various fields with big data and their applications.

This book covers the technology of digital image processing in various fields with big data and their applications.

This book covers IoT and Big Data from a technical and business point of view.

This book covers IoT and Big Data from a technical and business point of view.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

The twenty-first century is a time of intensifying competition and progressive digitization.

The twenty-first century is a time of intensifying competition and progressive digitization.

In recent years, blockchain development has grown quickly from the original Bitcoin protocol to the second-generation Ethereum platform, and to today's process of building third-generation blockchains.

In recent years, blockchain development has grown quickly from the original Bitcoin protocol to the second-generation Ethereum platform, and to today's process of building third-generation blockchains.

In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.