Java Data Object

Compared to the US, European data and privacy protection rules seem Draconian. The European rules apply to any enterprise doing business in the EU. The new rules are far more stringent than the last s

Computer scientists describe the current state and trends in big data analytics, its technologies, and applications. Among their topics are a brief review on deep learning and types of implementati

Focusing on classifying and clustering techniques, computer scientists look at the multidisciplinary nature of big data and its applications and challenges in various fields. Their topics include

本書將知識點融入實際項目的開發中，從 Java Web 應用開發技術的原理出發，結合網站應用開發實例的形式對各知識點進行詳細講解，每個任務解決一個實際開發中的技術要點。

本書從Java程序開發能力必備出發, 將教學內容分為3個單元, 語言基礎、技術基礎、技能基礎, 所有章節以此貫穿。每一章均以相應知識點儲備、案例分析、任務訓練、知識拓展、思考與練習進行組織。每一章節中的案例以通俗易懂、實用為原則, 在組織形式上以任務驅動、效果演示來激發學生興趣, 將知識講解融入到任務之中。內容涵蓋了Java語言概述、數據類型、流程控制、數組與字符串、面向對象程序設計、異常處理、輸

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustrationReaders will learn ho

This book provides expert advice on the practical implementation of the European Union’s General Data Protection Regulation (GDPR) and systematically analyses its various provisions. Examples, tables,

該書是講解的是Java8，具有一定的前瞻性，而且在介紹理論的基礎上，配備有比較豐富的實例，便於學生的學習理解。但該書過早地使用集成開發環境，不利於學生去學習調試程序，也不利於學生去理解Java的思想。同時有些章節結構的合理性也值得探討，比如，內部匿名類一般是和繼承聯繫在一起，但該書在介紹繼承之前就介紹匿名內部類，不便於學生的理解

Heavy tailed data appears frequently in social science, internet traffic, insurance and finance. Statistical inference has been studied for many years, which includes recent bias-reduction estimation

Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usabili

If you're interested in data visualization but new to programming or web development, Interactive Data Visualization for the Web gives you what you need to get started creating and publishing your own

This edited volume aims at exploring the interplay of theory and research on big data, crisis management and surveillance. In this context, crisis management is considered as an "umbrella term" which

Disrupting Data in Qualitative Inquiry: Entanglements with the Post-Critical and Post-Anthropocentric expands qualitative researchers’ notions of data and exemplifies scholars’ different encounters an

Disrupting Data in Qualitative Inquiry: Entanglements with the Post-Critical and Post-Anthropocentric expands qualitative researchers’ notions of data and exemplifies scholars’ different encounters an

"This book contains chapters in the areas of HCI Challenges for Big Data Security and Privacy. It includes research and development results of lasting significance in the theory, design, implementatio

This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor i

This is an authoritative and practical guide to analysing business data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s busine

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Dela

Describes the work of a bid data analyst, detailing the education and skills needed for the position, advancement in the career path, and what the future holds for the industry.

本書通過具有代表性的例子、詳盡的講解和豐富的練習，全面介紹了Java 2的相關知識。本書在體系結構的編排上由淺入深，重點難點突出，對于典型例題進行了分析解釋，在附錄中整合了習題、實驗、課程設計、模擬題等，使全書結構嚴謹、通俗易懂，兼有普及與提高的雙重功能。本書由四部分組成：*部分（～6章、第8章）對Java基本特性、面向對象程序設計知識、語法進行了較為系統的介紹；第二部分（第7章、第9～11章）是

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to beco

Scala是一門主要以Java虛擬機（JVM）為目標運行環境並將面向物件和函數式編程語言的最佳特性結合在一起的編程語言。你可以使用Scala編寫出更加精簡的程式，同時充分利用併發的威力。由於Scala默認運行於JVM之上，因此它可以訪問任何Java類庫並且與Java框架進行互操作。通過ScalaJS專案，Scala還可以被編譯成JavaScript代碼，讓我們更便捷高效地開發Web應用。本書從實用

Manage your data in a database system designed to support modern application development. The updated edition of this authoritative and accessible guide shows you the many advantages of using document

Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier

Learn Lisp programming in a data structures context, including tables, functions, forms, expressions, typed-pointers, I/O, garbage collection and some applications. This short primer contains a carefu

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However,

隨著移動互聯網的興起，以Java技術為後臺的互聯網技術佔據了市場的主導地位，而在Java互聯網後臺開發中，SSM框架（Spring+Spring MVC+MyBatis）成為了主要架構，本書以此為焦點從入門到實際工作要求講述了SSM框架的技術應用；與此同時，為了提高系統性能，NoSQL（尤其是Redis）在互聯網系統中已經廣泛使用，為了適應這個變化，本書通過Spring講解了有關Redis的技術應

This introductory guide provides a clear detailed explanation of how to present data in tables and graphs using the popular software application SPSS. Using practical examples the book is simple to us

The Little Green Data Book 2017 is based on World Development Indicators 2017 and its online database. Defining, gathering, and disseminating international statistics is a collective effort of many pe

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.

Privacy as Virtue discusses whether a rights-based approach to privacy regulation still suffices to address the challenges triggered by new data processing techniques, such as Big Data and mass survei

This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data s

The First Book Dedicated to This Class of Longitudinal ModelsAlthough antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing

本書以讓零基礎的讀者通過自學完成一個中文分詞系統為目標，從Java基礎語法開始講解，然後介紹文本處理相關的資料結構和演算法，最後介紹如何實現文本切分和詞性標注。 本書是介紹業界熱門的以Java開發中文分詞技術的唯一書籍。本書選取相關領域的經典內容，深入理解和挖掘，也綜合了實踐性強的創新想法，適合對軟體發展感興趣的青少年或者大學生閱讀和學習。