Multidimensional Data Visualization

This book highlights the use of historical data in natural hazard assessments. Different types of data, such as historical data from written documents, are linked to technically measured data such

A Data Team is an organized group of teachers and administrators that monitors data, analyzes strengths and obstacles, establishes goals, selects instructional strategies, and evaluates results for in

A unique multidimensional view of the relationship between the state, society, and oppression Designed to help students analyze and understand political developments in the world around them, this un

DATA ANALYSIS AND DECISION MAKING is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics

Originally published in 1989, this book provides a comprehensive account of how to handle astronomical data. Descriptions of data acquisition, handling, and interpretation are included. The advice starts with chapters on observatories and observations, followed by discussions on the archiving of data and its presentation in the literature. There are many useful suggestions on the nomenclature of astronomical objects, and descriptions of the astronomical catalogues. Three chapters concentrate on databases and astronomical data centres. Finally the author comments on publication and the growth of astronomical data. The clear advice given in this book will be of interest to professional astronomers and graduate students who handle data.

"Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and app

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized

'The Little Data Book on Private Sector Development 2010' is one of a series of pocket-sized books intended to provide a quick reference to development data on different topics. It provides data for m

"Utility-Based Learning from Data is an excellent treatment of data-driven statistics for decision-making. Friedman and Sandow lucidly describe the connections between different branches of statistic

Elemental 3 is the only art book showcasing the work of CG artists in architectural visualization and product design.

Holographic Data Storage: From Theory to Practical Systems is a primer on the design and building of a holographic data storage system covering the physics, Servo, Data Channel, Recording Materials, a

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statisti

"This book successfully negotiates the minefield of partisan positions and provides a clear way to grasp the multidimensional character of the aquaculture controversy." Jeremy Rayner, Political Scien

Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging top

"An interdisciplinary study of democratic theory, empirical political science, psychology, and philosophy. Proposes a multidimensional process model of empathy that incorporates both affective and cog

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers

A multidimensional, multidisciplinary work on one of the least understood but most important conflicts in modern history.

Beautifully tells the multidimensional stories of John Wesley Powell’s life, from childhood, through his famous and exciting explorations of the Colorado River and his later admin

Driven by Data offers valuable tips and general guidelines about data-based methods and the difficulties surrounding the implementation of data-driven instruction. Through a CD-ROM, this guidebook pro

This work reviews practical and theoretical aspects of sensor network data management, for those working in database, data warehousing, data mining, and sensor network research. Chapters by internatio

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information

The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization. They believe that "smart data" as a corporate priority could revolutionize gover

Written by over 120 data management practitioners, this compilation of data management principals and best practices provides data management and IT professionals, executives, knowledge workers, educa

Essential Skills--Made Easy!Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you

The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists and intelligence specialists, to

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and

"This book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex da

This collection of essays on interpreting and using library-generated data and outside data gives information on using data to inform and persuade, evaluation of monographic collections, serials and e

This unified volume is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifet

Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practition

Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon

Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high d

The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists and intelligence specialists, to

A unique, multidimensional view of the political imagination of the American worker during World War II.

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data min

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteri

Failure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governa

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the

Programmers, administrators, and others who handle data can learn by example from the best practitioners in the field. "Beautiful Data" lets readers look over the shoulders of prominent designers for

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental rel