Offered as an introduction to the field of data structures andalgorithms, Open Data Structures covers the implementation andanalysis of data structures for sequences (lists), queues, priorityqueues, u
A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about itBig data is big news! Every company, industry, not-for-profit, and government agenc
Exceptionally clear and well-written chapters provide engaging discussions of the methods of accessing, generating, and analyzing social science data, using methods ranging from reflexive historical a
The Springer Handbook of Nanomaterials covers the description of materials which have dimension on the "nanoscale". The description of the nanomaterials in this Handbook follows the thorough but conci
Learning to program is one of the best investments that you can make for your research and your career. Python for biologists is a complete programming course for beginners that will give you the skil
The classic tale of a greedy snake, with illustrations by Eric Carle, is now available in an oversize board book edition! In this humorous story about manners, respect, and friendship, a greedy python
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods su
In this important new Handbook, the editors have gathered together a range of leading contributors who introduce the theory and practice of multilevel modeling. This Handbook establishes the connectio
The scope of the book is political science and China studies with a focus on China's local politics. Based on analyzing the data and facts from various sources, the book answers such key questions in
Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a s
Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a s
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an
Congratulations on selecting Python. An excellent starter or tutorial to quickly assist the reader in producing programs with Python 3.2. If you have never programmed this book will give you the ne
This is the first book to be published on the topic of data quality exploration, analytics and quantitative data cleaning. The author provides a sound technical grounding in the subject and shows read
Big Data Imperatives, focuses on resolving the key questions on every one's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data?
Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization. It covers the core feature set for data analytics, illustrating best practic
Over 70 countries and various international organizations have adopted data protection and privacy laws that regulate the cross-border transfer of personal data outside their borders. In an era of glo
In Disruptive Possibilities: How Big Data Changes Everything, Jeff enlightens Fortune 500 enterprises about the Big Data ecosystem as they begin to channel their data from stranded silos into an acces
Describes the features of the Python 2.6 programming language, covering such topics as types and operations, statements and syntax, functions, modules, classes and OOP, and exceptions and tools.
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of intere
Clinical Handbook of Pediatric Endocrinology has been completely revised and updated! This comprehensive handbook is a quick reference guide for pediatric health care professionals practicing in hospi
This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. The data integration system proposed
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date
One of a series of pocket-sized books that provide a quick reference to development data on different topics, 'The Little Data Book on Private Sector Development 2013' provides data for more than 20 k
Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes poss
As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data managem
Through music examples, this introductory text illustrates software development in the Python programming language. The authors explain musical and programming concepts in a coordinated way. They inte
5751 Ultimate Handbook for Paper Crafters Sure to become your creative partner in paper crafting for years to come, The Ultimate Handbook for Paper Crafters explains which design elements make a ca
The Oracle Press Guide to Big Data Analytics using RCowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle’s
The focus of this book is on the epistemological and hermeneutic implications of data science and artificial intelligence for democracy and the Rule of Law. How do the normative effects of automated d
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contai
This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practic
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Completely updated for Py
Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, prac
This book introduces novice developers to a range of data access strategies for storing and retreiving data both locally and remotely. It provides you with a range of fully working data access solutio
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical
This is a tutorial style book that will teach usage of Python tools for GIS using simple practical examples and then show you how to build a complete mapping application from scratch. The book assumes
Is psychoanalysis knowledge? Is psychoanalysis a science, or is it hermeneutics? Can clinical material be considered research data?Psychoanalysis is ambiguous about whether it is about meaning or abou
Is psychoanalysis knowledge? Is psychoanalysis a science, or is it hermeneutics? Can clinical material be considered research data?Psychoanalysis is ambiguous about whether it is about meaning or abou
A biostatistician at the City of Hope National Medical Center in California's Los Angeles County, Li also teaches part time and gives seminars on DATA step programming and statistical analysis using t
