Multidimensional Data Visualization

Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of stat

To get the right insights from your data, you need to model it right. From Power BI to Power Pivot for Excel, Microsoft offers extremely powerful and accessible tools for modeling data. Now, for the f

This book is a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in

Project DATA is an instructional program that assesses the functional needs of young children, ages 3 to 5, with autism in inclusive classrooms and provides intervention programming to increase these

Basic Skills in Interpreting Laboratory Data, Fifth Edition, is the classic and most popular pharmacy laboratory text because it is the only reference on this subject written by pharmacists, for pharm

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining th

This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review question

"NVIVO in 7 STEPS: Qualitative Data Analysis and Coding for Researchers" is a very direct process of how to use NVIVO data coding software quickly, but efficiently for getting started and completing y

The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development, theory, and impacts of Big Data, tailored

Multi-state models describe stochastic processes that consist of transitions between states over time, such as the three-state illness-death model. Interval-censored data is extremely common as the ex

This highly original book is an ethnographic noir of how Big Data profits from patient private health information. The book follows personal health data as it is collected from inside healthcare and b

Computer scientists along with engineers in several fields address various challenges in operation management and how to overcome them using big data analytics. Among their topics are applying arti

This book is about how to integrate full-stack open source big data architecture and how to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data archi

The description for this book, Data Analysis for Scientists and Engineers, will be forthcoming.

Available in packs of 5, these forms are used to assess children's functional needs with the DATA Model, a comprehensive, school-based program for children 3 to 5 with autism. Blending best practices

Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univaria

This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the read

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information syste

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The bo

?? ?This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institut

Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the k

Get Ahead Surgery: OSCEs and Data Interpretation, the latest addition to the essential Get ahead! revision series, provides practical and invaluable revision for all medical students preparing for the

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as

Discovering Your Past Lives provides you with a detailed illustrated guidebook into what a past life is and how you can access them to discover more about yourself. You will begin with a visualization

Intelligence services, government administrations, businesses, and a growing majority of the population are hooked on the idea that big data can reveal patterns and correlations in everyday life. Init

Dr. Bunsen causes some serious double trouble when he creates clones of the DATA Set in this fifth DATA Set adventure.Dr. Bunsen is just trying to help. Really, he is. This time, when Dr. Bunsen overh

Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improv

This book inclusively and systematically presents the fundamental methods, models and techniques of practical application of grey data analysis, bringing together the authors’ many years of theoretica

This, the 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban

Compact data structures help represent data in reduced space while allowing it to be queried, navigated, and operated in compressed form. They are essential tools for efficiently handling massive amounts of data by exploiting the memory hierarchy. They also reduce the resources needed in distributed deployments and make better use of the limited memory in low-end devices. The field has developed rapidly, reaching a level of maturity that allows practitioners and researchers in application areas to benefit from the use of compact data structures. This first comprehensive book on the topic focuses on the structures that are most relevant for practical use. Readers will learn how the structures work, how to choose the right ones for their application scenario, and how to implement them. Researchers and students in the area will find in the book a definitive guide to the state of the art in compact data structures.

This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data proc

Through the use of real-life social science examples, Analyzing Qualitative Data: Systematic Approaches Second Edition by H. Russell Bernard, Amber Wutich and Gery W. Ryan, w

From an award-winning project comes an inspiring, collaborative book that makes data artistic, personal - and open to allEach week for a year, Giorgia and Stefanie sent each other a postcard describin

Dale, Joyce, and Weems present the algorithmic, programming, and structuring techniques of a traditional data structures course in an object-oriented context. They stress software engineering principl

Dale, Weems, and Richards present readers with the sixth edition of their comprehensive guide to the various implementations, applications, and specifications of abstract data types in the creation of

本書向讀者介紹使用Core Data時需要特別注意的事項，這將幫助讀者避開使用Core Data這個十分靈活且異常強大的框架時的一些陷阱。我們從一個簡單的應用例子開始，逐步將其擴展為包含關係、高級資料類型、併發、同步以及其他很多特性的完整例子，並在這個過程中對所有這些主題進行講解。在本書後半部分，我們還會超出這個基本應用所需要涉及的範圍，將知識點深入擴展到Core Data幕後的工作原理上。我們會

"This book addresses the myriad of practical uses and innovative developments of data envelopment analysis, emphasizing the importance of analyzing productivity by measuring inputs, goals, economic gr

This book introduces oriented version of metrics and cuts and their multidimensional analogues, as well as partial metrics and weighted metrics. It is a follow-up of Geometry of Cuts and Metrics by De

Big Data and Analytics is one of the hottest topics on the business agenda. However there are currently few (if any) industry-specific books on this topic. The book will deal with Big Data and Analyti