Books in Data

Big Data

1st Edition
June 3, 2016
Rajkumar Buyya + 2 more
English
Paperback
9 7 8 0 1 2 8 0 5 3 9 4 2
eBook
9 7 8 0 1 2 8 0 9 3 4 6 7

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

Data Simplification

1st Edition
March 9, 2016
Jules J. Berman
English
Paperback
9 7 8 0 1 2 8 0 3 7 8 1 2
eBook
9 7 8 0 1 2 8 0 3 8 5 4 3

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user.

Data Mapping for Data Warehouse Design

1st Edition
December 8, 2015
Qamar Shahbaz
English
Paperback
9 7 8 0 1 2 8 0 5 1 8 5 6
eBook
9 7 8 0 1 2 8 0 5 3 3 5 5

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle.

The Art and Science of Analyzing Software Data

1st Edition
August 27, 2015
Christian Bird + 2 more
English
Paperback
9 7 8 0 1 2 4 1 1 5 1 9 4
eBook
9 7 8 0 1 2 4 1 1 5 4 3 9

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.

Bent Functions

1st Edition
August 6, 2015
Natalia Tokareva
English
Paperback
9 7 8 0 1 2 8 0 2 3 1 8 1
eBook
9 7 8 0 1 2 8 0 2 5 5 5 0

Bent Functions: Results and Applications to Cryptography offers a unique survey of the objects of discrete mathematics known as Boolean bent functions. As these maximal, nonlinear Boolean functions and their generalizations have many theoretical and practical applications in combinatorics, coding theory, and cryptography, the text provides a detailed survey of their main results, presenting a systematic overview of their generalizations and applications, and considering open problems in classification and systematization of bent functions. The text is appropriate for novices and advanced researchers, discussing proofs of several results, including the automorphism group of bent functions, the lower bound for the number of bent functions, and more.

How Nursing has Changed with Technology, An Issue of Nursing Clinics

1st Edition
Volume 50-2
June 2, 2015
Maria Overstreet
English

How has technology changed the art and science of nursing practice?Many facets of nursing practice have stayed constant over the years such as the way we advocate for our patients and the art of caring for our patients. However, nursing practice has evolved over the years especially in the bedside delivery of state of the art nursing care. Technology at the bedside has forced nurse educators to change the ways in which we always have taught nursing students. Technology has also begun to change the methods used in the actual bedside nursing care. In this issue, you will hear from some of the nursing experts in areas of nursing care that has changed in either the delivery of care or method of assessing care of the patient. Nursing experts will describe some of the historical changes and intrigue you in the changes expected to come to the bedside. Why is this issue important? First, we gain insight from a review of where we have been and nurses tend to reminisce on our past as well as romance our historical roots. Second, technology is ever changing and it is good practice to keep abreast of what is happening in other areas of nursing so that we can apply others successes in our own specific areas of nursing. Third, informatics in nursing is a growing field and nursing must embrace technology and learn to adapt various methods of delivery so that we can appropriately care for and advocate for our patients.With the changes in our national healthcare system, we must encourage nurses to try out new methods of delivery as well as encourage their ideas of how nursing can change. The articles in this issue reflect these changes.

Repurposing Legacy Data

1st Edition
March 13, 2015
Jules J. Berman
English
Paperback
9 7 8 0 1 2 8 0 2 8 8 2 7
eBook
9 7 8 0 1 2 8 0 2 9 1 5 2

Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it. The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators.

Geriatric Dentistry, An Issue of Dental Clinics of North America

1st Edition
Volume 58-4
September 9, 2014
Lisa A. Thompson
English

This issue of Dental Clinics, edited by Lisa A. Thompson and Leonard J. Brennan, focuses on Geriatric Dentistry. Articles include: Our Current Geriatric Population: Demographic and Oral Health Care Utilization; Physiology of Aging of Older Adults: Systemic and Oral Health Considerations; Treatment Planning Considerations in Older Adults; Oral Health Disparity in Older Adults: Dental Decay and Tooth Loss; Oral Health Disparities in Older Adults: Oral bacteria, Inflammation and Aspiration Pneumonia; Salivary Function and Xerostomia and the Implications of Polypharmacy in Elderly; Systemic and Oral Health; Cognitive Impairment in Older Adults and Oral Health considerations: Treatment and Management; Integrating Oral Health into the Interdisciplinary Health Sciences Curriculum; Innovations in Dental Care Delivery for the Older Adult; and more!

Data Acquisition Techniques Using PC

1st Edition
June 28, 2014
Howard Austerlitz
English
eBook
9 7 8 1 4 8 3 2 9 4 7 3 5

Data Acquisition Techniques Using Personal Computers contains all the information required by a technical professional (engineer, scientist, technician) to implement a PC-based acquisition system. Including both basic tutorial information as well as some advanced topics, this work is suitable as a reference book for engineers or as a supplemental text for engineering students. It gives the reader enough understanding of the topics to implement a data acquisition system based on commercial products. A reader can alternatively learn how to custom build hardware or write his or her own software. Featuring diverse information, this book will be useful to both the technical professional and the hobbyist.

Principles of Artificial Intelligence

1st Edition
June 28, 2014
Nils J. Nilsson
English
eBook
9 7 8 1 4 8 3 2 9 5 8 6 2

A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

Related subjects

Coding and information theory

Data encryption

Data general

Data storage representations

Data structures

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Physical Sciences & Engineering

Social Sciences & Humanities

Health