Java Data Object

What factors will influence the shipping market, and how are they linked? By studying the current and historical market, we are going to discover some new links. This book's charts and historical data

A comprehensive and current introduction to the fundamentals of regression analysisIntroduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.The new edition focuses on four key areas of improvement over the fifth edition: New exercises and data setsNew material on generalized regression techniquesThe inclusion of JMP software in key areasCarefully condensing the text where possibleIntroduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-b

「資料結構」在資訊學科中是一門重要的課程。本書的內容依不同的主題共分為14章，在各章的每一小節中均附有練習題及類似題，旨在讓讀者測試對該小節所談及的內容是否已全盤了解。在各章末有「動動腦時間」，並標註與該題的相關章節。每章的重要主題均附有範例程式加以測試，以期讓讀者對理論能有進一步的認識與了解。

乘著 C 的翅膀穿梭在程式的天空 科技不斷進步，程式語言也從早期的組合語言、BASIC、Fortran、COBOL、C，進步到現在的Java、Perl、Lisp等高階語言。不論是初次接觸程式的新手，或者是經驗豐富的資訊人員，都可以深刻體驗到資訊科技的快速發展及演進。常常學了好久的程式語言，不到幾年的時間，就被新的開發技術所取代，屆時，又得重新再學習。這樣的學習循環，常使得從事資訊科技的人員備感壓

In today’s fast-evolving corporate landscape, business must pivot toward hyper-realistic ecosystems of cross-functional alignment. This book breaks down across diversified silos, empowering to harmonize granular data-driven strategies with macro-level agility.現此時 公司組態快速變遷 運轉跨功能生態 校準超現實趨勢冊 多元化分析後 再融合 細分資訊築堤 宏觀敏捷 指向策略Drawing on real-world case studies from some of the world’s most adaptable enterprises, this guide unpacks the synergetic potential of integrative scaling, leveraging tactical holism to engineer exponential ROI, Whether you’re leading a Fortune 500 company or a burgeoning startup unlocking the Quantum Paradiams of synergistic growth with transform the way you approach operational fluidity and narrative-driven innovation.研析 世界上適應性較佳公司真實案例 冊 開啟整合規模之協同潛力 依戰術整體性 循工程指數型收益為目標 勿論 你是初學者或領導財富500公司意識 量子範例 改變後同步成長 論述 啟發創新 具流動性步進樣態The future of scalable success begins with unlocking the endless potential of value-forward transcendence. Don’t miss the opportunity to align your strategy w

什麼是生物醫學資訊學專家？他們的工作做些什麼呢？作者Kevin曾是一個像是你我一樣的孩子，但長大後他成為一名生物醫學資訊學專家！Kevin從小就熱愛科學和動物，這種熱情加上他的工程學天賦，使他成為一名專門研究生物醫學資訊學的小兒科醫生——使用資訊科學來改善醫療保健。Who Me? 系列是由科學家本人和范德比大學 (Vanderbilt University)的合著者一同撰寫。透過科學家們鼓舞人心的的傳記，讓小讀者了解到，科學家都是像我們一樣的普通人，因為對學習和發現新事物的熱愛，一路上努力學習，並為自己創造機會並爭取成為科學家的機會，在了解科學家的成長故事的過程中，讀者除了能從中認識基本的科學概念，也能認識科學家現在所從事的尖端研究。What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that sc

Java 程式語言之所以這麼熱門，其中有一個很重要的因素是它具有"Write once, run anywhere"的特性，這項優點讓Java 程式能夠在不同平台、不同作業環境下暢行無阻，因而可以大量縮短程式開發的時程。 本書將以簡單、活潑的敘述及例子，引領您進入Java 的世界，讓不懂Java程式的您，能夠輕鬆、自在的學會使用這個功能強大的程式語言。

As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analyt

While most data mining algorithms deal with static data, the seven papers in this collection address systems producing massive high-speed streams of ever-changing data generated by dynamic process

This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with da

Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

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

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, t

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapid

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful

The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describe

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 book provides a comprehensive summary on the ten years of research work by the authors in the field of computerized TCM data analysis. The book first presents a general introduction to computeriz

This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theo

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, fin

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and

This book describes modern approaches to analyzing and understanding the structure of Big Data. The editors have carefully curated representative methods and techniques from both industry and academia

Kantardzic (computer engineering and science, U. of Louisville) offers students a single-volume introduction to the methods, tools, and algorithms in data mining that can also be used as a broad, if s

In order for the information society to realise its full potential, personal data has to be disclosed, used and often shared. This book explores the disclosure and sharing of data within the area of h

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal

This textbook contains a consideration of the wide field of problems connected with statistical methods of processing of observed data, with the main examples and considered models related to geophysi

Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers histor

Research Ethics Committees, Data Protection and Medical Research in European Countries

A comprehensive documentation of the scientific and methodological advances in remote sensing data, methods, and applications over last 50 years, this highly practical book demonstrates the experience

A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updatedNow in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (Short-Term Actuarial Mathematics) and LTAM (Long-Term Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind.Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional

Computer scientists and engineers introduce semantic computing from the perspectives of understanding semantics, data science, data integration, and applications. Among their topics are methods and

Addressing the first stage of the implementation of the European Union's Directive 95/46/EC, these 11 papers covers its background, the concept of medical data privacy and its application, the scope o

The book gives an overview of developments in Quantitative Genetics and variance component analysis in an era of Big Data and Sequenced Genomes. It provides a detailed description of a direct method o

As key nodes that connected ancient silk routes traversing China, Japan and India, trading hubs, towns and cities in Java and Sumatra and other places in Asia were key destination points for merchants

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical

This book presents the most important skills for anyone who wants to do quantitative analysis on biological data, especially for high-throughput omics data. Three topics are covered in this book: (1)