本書以Java EE Web開發的知識點為主線，以Oracle資料庫附帶的表為基礎，第1～4章講解了JDBC、Jsp、Servlet、Ajax在Java EE中的使用方法，第5～12章重點而詳細地介紹了Struts2、Spring3以及Hibernate4框架的主要內容和最新內容。在本書的最後一章，以一個綜合性的案例——圖書管理系統，完整地介紹了使用SSH開源框架開發的全過程，內容包括目前主流的展
Energy Efficient Servers: Blueprints for Data Center Optimizationintroduces and describes for IT professionals the latest server power management technologies and how they work. It explains how these
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas
This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and
The exponential growth of structured and unstructured social data has confronted fields such as political science, sociology, psychology, information systems, public health, public policy, and communi
Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics.
Doing Sociolinguistics: A practical guide to data collection and analysis provides an accessible introduction and guide to the methods of data collection and analysis in the field of sociolinguistics.
Providing a practical, hands-on introduction to data conceptualization, measurement and association, this book gives students step-by-step instruction on data analysis using the latest version of SPSS
Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, ma
Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication and is now used in various applications including broadcast monitoring, movie fingerp
Digital data collection and surveillance gets more pervasive and invasive by the day; but the best ways to protect yourself and your data are all steps you can take yourself. Understanding new technol
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STANintroduces the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement
The Little Data Book 2015 is a pocket edition of World Development Indicators 2015. It is intended as a quick reference for users of the World Development Indicators database, book, and mobile app. Th
This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The w
Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent yearsThis book covers kernel analysis topics ranging from the fundamental theo
The Little Data Book on Financial Inclusion 2015 is a pocket edition of the Global Financial Inclusion Database published in 2015 in “The Global Findex Database 2014: Measuring Financial Inclusion aro
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s
Explore how health systems are using medical device connectivity to improve patient care, through reduced clinical documentation transcription errors and improved data accuracy. Item Details: Within a
This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s
This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics
Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide
This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the inf
Automated Data Warehousing Testing is a beginner’s step by step guide for novice to intermediate level testers who want to try their hands at automated testing. It provides step by step instructions f
This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today’s cities. Drawing upon research conducted in the Italian region of Lom
Utilizing unique real-world examples and numerous graphics, this introductory book provides a solid foundation of the statistical methods that are used to analyze biomarker data and features software
This book provides an introduction into data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. In addition, this revi
Exploit the power and potential of Big Data to revolutionize business outcomesBig Data Revolution is a guide to improving performance, making better decisions, and transforming business through the ef
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book an
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding
Thermodynamic data of polymer solutions are paramount for industrial and laboratory processes. These data also serve to understand the physical behavior of polymer solutions, study intermolecular inte
Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover
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
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing bi
This book reports the latest findings on intelligent energy management of Internet data centers in smart-grid environments. The book gathers novel research ideas in Internet data center energy managem
This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and ot
