Distributed Data Fusion for Network-centric Operations

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

我又不是程式設計師, 為什麼逼我寫程式？學 Python 到底要幹嘛？大家都說要學，可是到底有沒有 Python 這麼好用的八卦啊？█ 全民 AI 時代來臨, 資料科學順勢崛起身在數位新世代, 任何行業都會接觸到龐大的資料, 而 Python 正是當今最常用的大數據 (Big Data) 處理工具。考慮到世界各國紛紛搶著將程式語言列入正規教育體系、台灣在 108 年度高中課綱跟進,

臺灣刑事程序法則及證據法則，邁向世界刑事訴訟思潮的主流趨勢，人權保障及程序正當衡平，經歷2003年9月大幅度修法施行，為世人所關注。立法者是作者，執法者是讀者，法律的生命在於實踐。觀察最高法院近年來新興的刑事裁判，是察覺臺灣刑事訴訟成長軌跡的最佳渠道。本書將2018年最高法院裁判大數據（Big Data），透過檢選、篩選、擷取、歸納、整理，梳理出各刑事庭、各法官所著裁判要旨，完備成書。善學者，假人

【想深入了解大數據、資料探勘的讀者請進！！】什麼是資料前處理？電信業者跟資料探勘有什麼關係？神經網路具體到底是什麼？集群分析的演算法有哪些？◎資料探勘的「十大經典演算法」你都認識嗎？ 國際權威的學術組織the IEEE International Conference on Data Mining （ICDM）評出了資料探勘領域的十大經典演算法：C4.5、K-Means、SVM、Apriori

轉型為敏捷組織是企業必經之路數位化變革本身並不只是一項戰略或目標，而是企業跳躍式的量子躍遷（quantum jump），更是後疫時代實現敏捷組織與商業創新的終極方法！以ABCD為首字母的數位化（A：人工智慧AI；B：區塊鏈Blockchain；C：雲端計算Cloud Computing；D：數據分析Data Analytics）在各種組織中擴張，並改變和征服了我們的生活中的各個領域。數位化給我們

An against-the-grain polemic on American capitalism from the New York Times bestselling author of The Great StagnationWe love to hate the 800-pound gorilla. Walmart and Amazon destroy communities and small businesses. Facebook turns us into addicts while putting our personal data at risk. From skeptical politicians like Bernie Sanders who, at a 2016 presidential campaign rally, said, "If a bank is too big to fail, it is too big to exist," to millennials, only 42 percent of whom support capitalism, belief in big business is at an all-time low. But are big companies inherently evil? If business is so bad, why does it remain so integral to the basic functioning of America? Economist and bestselling author Tyler Cowen says our biggest problem is that we don't love business enough.In Big Business, Cowen puts forth an impassioned defense of corporations and their essential role in a balanced, productive, and progressive society. He dismantles common misconceptions and untangles conflicting i

臺灣刑事程序法則及證據法則，邁向世界刑事訴訟思潮的主流趨勢，人權保障及程序正當衡平，經歷2003年9月大幅度修法施行，為世人所關注。立法者是作者，執法者是讀者，法律的生命在於實踐。觀察最高法院近年來新興的刑事裁判，是察覺臺灣刑事訴訟成長軌跡的最佳渠道。本書將2017年最高法院5,348則裁判大數據（Big Data），透過檢選、篩選、擷取、歸納、整理，梳理出各刑事庭、各法官所著裁判要旨，完備成書。

從基本概念到重要的演算法，再到處理平臺和實際案例，作者為美妙圖形世界編寫了一本兼具指導性與說明性的參考指南。"—Kirk Borne, PhDPrincipal Data Scientist and ExecutiveAdvisor, Booz Allen Hamilton"一本實用且資訊豐富的指南，幫助你藉由使用圖形演算法檢測模式和結果，來獲取更多洞察力，圖形資料庫開發人員的必讀書籍。"—Lua

本書主要針對資料處理中問答題之題型重點進行解析，包含程式語言、資料結構、網路以及資料庫。由於題目廣泛，建議考生於每一章節研讀後，可透過後面的題目進行收斂。其中，在演練的過程需考量配分之問題，請試著依照題目的配分，去斟酌不同答案的比重，讓整體的撰寫具備較佳的構面與格式。此外，除了本書之章節，現有的NoSQL、大數據(big data)、物聯網(IOT)資訊安全…等新趨勢議題，請各位考生多加注意，準備

◆人人都有的EXCEL＋超詳細步驟教學＝高CP值學會統計分析。◆專業理論深入淺出，搭配實例整合說明，從報表製作到讀懂，一次到位。◆完整的步驟操作圖，解析報表眉角，讓你盯著螢幕不再霧煞煞。◆本書專攻基礎統計技巧，讓你掌握資料分析力，在大數據時代脫穎而出。◎大學教授傾囊相授統計分析手法，帶領你掌握資料分析能力，前進大數據時代。大數據(Big data)時代下，統計學愈來愈夯，資料分析全方位應用在各種工

本書內容共分為八大單元，依序為基本概論、Digital Logic數位邏輯、Operation System作業系統、System Program系統程式、Programming Language程式語言、Data Structure資料結構、網路、Datebase資料庫等重點觀念。 本書除了重點整理計算機概論的相關理論之外，更蒐集歷年高普特考試題，強化基本觀念，讓考生在短時間內以最

紮穩 SQL 基礎, 循序養成大數據分析新技能MySQL / MariaDB、MS SQL Server、Oracle、PostgreSQL、DB2 全適用！在資訊系統的開發中, 資料庫都扮演了重要的角色, 近來資料庫更擴展到大規模的資料處理及數據分析工作, 造就了大數據 (Big Data)、資料科學 (Data Science) 等急速竄升的 IT 發展趨勢。然而無論資料庫的發展如何改變, 學習資料庫形式的主流 – 【關聯式資料庫】, 及其操作用的 【SQL 語言】, 絕對是踏入資料庫領域的重要基礎！本書從認識資料庫、資料表的結構開始, 您可以學習到資料查詢和更新的語法、經常使用的函數、以及多個資料表的結合等透過 SQL 做到的資料庫操作方法。書中繪製了豐富的圖解, 以清楚易懂的方式進行解說 WHERE子句、GROUP BY子句、HAVING 子句或子查詢等初學者較不易理解的部分。最後, 針對讓 SQL 功能大躍進、可提升大規模資料處理效率的【視窗函數 (Window Function)】 和 【GROUPING運算子】, 也會教您如何快速上手, 學習如何挖掘出有價值的數據。本書特色 :本書附件內容，請由書中內頁下載點取得‧查詢語法、擷取結果即時呈現, 隨時都能掌握語法用途、各種修改差異‧隨時盤點須牢記的 SQL 語法原則及關鍵字, 讓你腦袋不卡卡‧熟悉不同資料庫系統的語法差異, 增加職場競爭力‧適用 MySQL / MariaDB、MS SQL Server、Oracle、PostgreSQL、DB2

Radar Meteorology: A First Course introduces undergraduate and graduate students to the technology and application of radar in 21st century meteorology and atmospheric sciences. The book, designed to accompany university courses in radar meteorology, will have three distinct parts. In the first part, the reader will be introduced to electromagnetic wave propagation and radar design considerations. This part will then develop the techniques used to retrieve the key quantities central to radar meteorology: the effective radar reflectivity factor, the Doppler radial velocity and spectral width, and polarization variables. The second part will focus on operational meteorological applications, including data quality control, precipitation estimation and hydrometeorological applications, warm season mid-latitude severe weather, cold season hazardous weather, and tropical cyclones. The third part of the book will focus on research applications, including research

網路經濟可以創造附加價值，而對GDP有所貢獻，但網路經濟也會取代和摧毀一些舊有的經濟，其對GDP的淨貢獻大小必須進一步考察。本文以臺灣加上OECD國家共35國的跨時追蹤資料（panel data )為樣本，利用兩階段最小平方法來估計固網寬頻滲透率對每人實質GDP的影響。結果是：固網寬頻滲透率對每一工作年齡者的實質GDP成長有顯著的正向影響，但其影響幅度不算太大。這個結果似乎和網路科技興盛以來各國勞

台灣第一本透過大數據系統(Big-Data-System)回測技術指標在台指選表現的書籍，並打造「進化版選擇權策略指標」以協助投資人找尋最佳的交易聖杯。本書出版的目的，乃希望透過選擇權策略的回測結果，引導投資人進入選擇權策略交易的領域。內容除了著重在簡易上手的技術指標應用外，於選擇權策略的改良上，作者更特地保留原先指標的運算思維，僅加入有限的參數，方便讀者在策略運行上能有所遵循，此外更達到優化績效

Public perceptions of political ethics are at the heart of current political debate. Drawing on original data, this book is the first general account of popular understandings of political ethics in contemporary British politics. It offers new insights into how citizens understand political ethics and integrity and how they form judgments of their leaders. By locating these insights against the backdrop of contemporary British political ethics, the book shows how current institutional preoccupations with standards of conduct all too often miss the mark. While the use of official resources is the primary focus of much regulation, politicians' consistency, frankness and sincerity, which citizens tend to see in terms of right and wrong, are treated as 'normal politics'. The authors suggest that new approaches may need to be adopted if public confidence in politicians' integrity is to be restored.

黃一農院士自2010年起從事了一場奇特的學術探險，他以初學者身分進入傳統深厚的紅學領域，並“穿越”至清朝，希望能探究他所揭舉的「e考據」，可否在大數據 (Big Data) 時代建立文史研究的新典範。對這本學習筆記的學術史定位，許多人有較深的期許……。 納蘭家六姊妹是本書最大發現之一，長女嫁曹雪芹的二表哥福秀，次女嫁乾隆朝孝賢皇后之親弟傅恒，另女所嫁弘慶的祖母密妃王氏，更是乾隆初年首位獲允回家省親

IDL（Interactive Data Language）是一個直譯互動式的電腦語言，在科學和工程上已經有廣泛的應用，尤其是在醫學和遙測方面。其指令的語法簡單易懂，接近人類的思考方式，容易學習；其計算和繪圖的功能強大，可幫忙解決複雜的工作需求，所以深受科學家和工程師的喜愛。 本書特色 適合IDL初學者的教科書 可做為IDL專業使用者的參考書 提供大量的圖表和範例，幫助讀者學習且活用IDL的指令

本書將大台北捷運路網依行駛路線區分，運用與捷運路線用色相定的配色，讓您直覺式輕鬆掌握旅遊動線。刊頭DATA清楚呈現各捷運站的所屬路線、轉乘站及首末班發車時刻等豐富資訊。

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and ha

業界、學界一致推崇，暢銷數十年經典，機械設計必備！《標準機械設計圖表便覽》2012最新增訂五版，正式發行！國立臺大機械系名譽教授劉鼎嶽博士、臺大機械系副教授蔡曜陽博士 審訂 《標準機械設計圖表便覽》自 1942 年出版以來，迄今已經過多次大幅度的改版，本次為第五次增訂。增訂五版秉持本書自初版以來一貫的出版宗旨進行修訂： ■ 廣泛蒐集 data book 的資料■&nbs

Master the Powerful Virtualization Tools in Oracle VMSet up and maintain a dynamic virtualization platform across your enterprise using the detailed information contained in this Oracle Press guide. Oracle VM Implementation and Administration Guide contains key virtualization concepts, practical instructions, examples, and best practices. Find out how to design Oracle VM server farms, build and deploy virtual machines, handle provisioning and cloning, and work with Oracle VM Manager. Monitoring, tuning, and security techniques are also covered in this comprehensive volume.Install, configure, and manage all Oracle VM componentsPlan, size, and set up Oracle VM server farms and server poolsControl resources from Oracle Enterprise Manager Grid Control, Oracle VM Manager, and Oracle VM Command Line InterfaceGovern network drives and virtual storage using Oracle VM toolsCreate virtual machines manually or from Oracle library templatesConvert existing virtual machines on other systems to Orac

From Oracle Press - this title offers practical, step-by-step techniques for planning high availability solutions for Oracle Database 11g. Written by Oracle insiders, "Oracle Database 11g Release 2 Hi

以「延續與變革」為主軸，本書深入探討評鑑中心方法在不同組織情境中的演進。內容從基本要件出發，逐步分析發展型評鑑中心的設計、評鑑者訓練、跨文化與多元議題，以及與人力資源策略的連結。書中亦整理相關法律案例與最新操作創新，幫助讀者理解方法應用的限制與風險。多位專家指出，本書在龐雜研究中提煉出清晰脈絡，文字平實而精確，是學生、研究者與實務工作者可長期參考的重要工具書。清楚區分評鑑目的與應用涵蓋法律、倫理與多元議題人資與組織發展的重要參考The theme permeating this book on assessment centers is "continuity and change", describing what has remained the same and what has changed in the 50-year history of the assessment center method. One of the important changes explored is the evolution of the goals of assessment center programs and the ways in which assessment centers and their component parts have been used. Assessment Centers in Human Resource Management clearly differentiates between assessment centers used for prediction, diagnoses, and development.In addition, this book explores:*assessment centers and human resource management;*court cases involving assessment centers;*innovations in assessment center operations;*cross-cultural considerations including diversity of the workforce; and*assessor training.T

本書以系統化方式介紹資料包絡分析法（Data Envelopment Analysis, DEA），強調理論與應用，適合對績效評估與管理有興趣的讀者閱讀。本書深入淺出介紹DEA基本理論與最新發展模式，並採個案方式，為讀者說明DEA在管理實務上之應用。本書共二篇，理論篇與應用篇

Providing the first truly comprehensive overview of Network Tomography - a novel network monitoring approach that makes use of inference techniques to reconstruct the internal network state from external vantage points - this rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography covers the most prominent results demonstrated on real-world data, including identifiability conditions, measurement design algorithms, and network state inference algorithms, alongside practical tools for applying these techniques to real-world network management. It describes the main types of mathematical problems, along with their solutions and properties, and emphasizes the actions that can be taken to improve the accuracy of network tomography. With proofs and derivations introduced in an accessible language for easy understanding, this is an essential resource for professional engineers, academic researchers, and graduate students in network management and netwo

Many machine learning algorithms require real-valued feature vectors of data instances as inputs. By projecting data into vector spaces, representation learning techniques have achieved promising performance in many areas such as computer vision and natural language processing. There is also a need to learn representations for discrete relational data, namely networks or graphs. Network Embedding (NE) aims at learning vector representations for each node or vertex in a network to encode the topologic structure. Due to its convincing performance and efficiency, NE has been widely applied in many network applications such as node classification and link prediction.This book provides a comprehensive introduction to the basic concepts, models, and applications of network representation learning (NRL). The book starts with an introduction to the background and rising of network embeddings as a general overview for readers. Then it introduces the development of NE techniques by presenting se

This book will give you an overview of the machining operations performed in the Autodesk Fusion 360 Manufacture workspace. This book is written in a simple step-by-step format. It is written to help

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

The United States has poured over a billion dollars into a network of interagency intelligence centers called "fusion centers." These centers were ostensibly set up to prevent terrorism, but politicia

The United States has poured over a billion dollars into a network of interagency intelligence centers called "fusion centers." These centers were ostensibly set up to prevent terrorism, but politicia

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysis. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straightforward task because of the size of the data sets and the computer power required for the analysis. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to and insight into the interdisciplinary field of network da

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the

A telecommunications network is an electronic system of links, nodes and the controls that govern their operations to allow voice and data transfer among users and devices. Examples of telecommunicati

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks presents current, state-of-the-art work on novel research in theoretical and practical resilience and security as

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining method

This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and pro

Network Storage: Tools and Technologies for Storing Your Company’s Data explains the changes occurring in storage, what they mean, and how to negotiate the minefields of conflicting technologies that

A detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distribut

This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an e