Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awes
Data is the vital raw material in our modern information economy. There is already an incredible amount of digital data in the world, and it's doubling every two years. Business decisions used to be b
CiteSpace是一款著眼於分析科學分析中蘊含的潛在知識，並在科學計量學（Scientometric）、資料和資訊視覺化（Data and information visualization）背景下逐漸發展起來的一款引文視覺化分析軟體。本書共8講，以CiteSpace所提供的功能模組為主線，在前3講中對CiteSpace的基本情況從使用、下載、功能等方面進行概述，從第4講開始按照其提供的網路類型
Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to m
If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing an
Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need
Load, wrangle, and analyze your data using the world's most powerful statistical programming languageAbout This BookLoad, manipulate and analyze data from different sourcesGain a deeper understanding
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, di
Capitalise on big data to add value to your small businessWritten by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data act
This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (
Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The
Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologiesAbout This BookComprehend the intricacies of architec
Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on
The rapid developments in GIS such as data integration, representation, spatial data products, and new spatial data mining methods, are forcing users to deal with data of unknown or ambiguous quality;
This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, accou
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Data Technologies and Applications, DATA 2014, held in Vienna, Austria, in August 2014.The 12 revised
Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and
Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported p
Taking an interdisciplinary approach, this volume brings together contributions by distinguished experts from different disciplinary fields for a multidimensional view on immersion in the visual arts
A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage
The volume offers an exploration of methods for analysis of emotion in negotiation, such as cognitive modeling, discourse analysis, all testing, subsequent multidimensional scaling, impression rating,
Building a Scalable Data Warehouse with Data Vault 2.0 covers everything users need to create a scalable data warehouse from scratch, including a presentation of the Data Vault modeling technique whic
“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first centurycodice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us th
To help you answer big data questions, this unique guide shows you how to use simple, fun, and elegant tools leveraging Apache Hadoop. You'll learn how to break problems into efficient data transforma
The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating
Character Development focuses on the creation of fully-realized, multidimensional protagonists and antagonists. Students practice first-drafting, editing, polishing and sharing original paragraphs, sc
Screenplay: Building Story Through Character is designed to help screenwriters turn simple or intricate ideas into exciting, multidimensional film narratives with fully-realized characters. Based on J
The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating
Screenplay: Building Story Through Character is designed to help screenwriters turn simple or intricate ideas into exciting, multidimensional film narratives with fully-realized characters. Based on J
Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach
Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with s
Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required in
Networking and communication are important aspects of big data, especially when real-time or near real-time applications are demanded. For example, the storage of big data depends on distributed syste
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data
This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals
While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applicatio
Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar obje
This book brings together a range of theoretical and empirical perspectives on conceptualization, measurement, multidimensional impacts and policy and service responses to address child and family pov
Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technic
