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Principles of computer system design : an introduction
Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design.It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering.
eBook
Hadoop for dummies
Let Hadoop For Dummies help harness the power of your data and rein in the information overload. Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets without becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.
Book
Handbook of big data technologies
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value.The volume consists of twenty-five chapters organized into four main parts.
eBook
Computer Systems for Healthcare and Medicine
The development of modern civilization leads to us having to solve new problems which did not exist before. The contemporary world faces a great challenge of aging societies, where the increasing number of citizens requires constant medical attention. To ensure safety and wellbeing of elderly people, patients in hospitals and disabled persons, advanced technologies can be implemented. These include both sophisticated data acquisition systems and data processing algorithms, aiming at the constant and discreet monitoring of persons whilst raising alarm if immediate attention is required. Computer Systems for Healthcare and Medicine presents a novel look at the introduced problems, including proposed solutions in the form of automated data acquisition and processing systems, which were tested in various environments. Characteristic features include a wide range of sensors used to monitor the situation of the person, and accurate decision making algorithms, often based on the computational intelligence domain. Technical topics discussed in the book include application for the healthcare of the following: • Infrared sensors • MEMS • Ultra wideband radars • Deep learning • Decision trees • Artificial neural networks • Gabor filters • Decision support systems
eBook
Evernote for dummies
Explains how to use Evernote to store, organize, and access materials using your computer, smartphone, tablet, and the Web.
Book
Data Clustering
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process-including how to verify the quality of the underlying clusters-through supervision, human intervention, or the automated generation of alternative clusters.
eBook
Evaluation and Exploration on the Effect of the Management of Chronic Obstructive Pulmonary Disease in Rural Areas through an Internet-Based Network Consulting Room
Objective: This study aims to improve the management quality of chronic obstructive pulmonary disease (COPD) in rural areas. Methods: Two hundred forty discharged COPD patients were divided into an intervention group and a control group. In the intervention group, 120 patients established contact with doctors through the network consulting room, i.e., the doctor’s mobile platform, and were managed through video, voice, and text by the doctors, kept close contact with the doctors after discharge (education, consultation), and received electronic prescriptions, and drugs were sent to the patients’ door by online retailers. The patients in the control group were managed in the traditional manner. One year later, the predicted forced expiratory volume in 1 s (FEV1)%, FEV1/forced vital capacity (FVC), and CAT scores and the number of rehospitalized patients were compared between these 2 groups. Results: After 1 year of follow-up, the predicted FEV1% and the FEV1/FVC ratio were significantly higher in the intervention group than in the control group (p < 0.05). CAT scores were lower for patients in the intervention group than for those in the control group after 1 year of follow-up (p < 0.05). After 1 year of follow-up, 22 (18.33%) patients were rehospitalized in the intervention group and 58 (48.33%) patients were rehospitalized in the control group (p < 0.05). Conclusion: Doctors can improve the quality of life of patients with COPD and reduce the number of rehospitalizations through use of the network consulting room.
Journal Article