Grouping Multidimensional Data

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a prepro

This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photog

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of mult

The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representatio

Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In

This book presents a new set of embedded system design techniques called multidimensional data flow, which combine the various benefits offered by existing methodologies such as block-based system des

Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has becom

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing

Multidimensional data is that in which a given fact is quantified by a set of measures obtained by applying one more or less complex aggregative function to raw data. Researchers in various discipline

OLAP enables users to access information from multidimensional data warehouses almost instantly, to view information in any way they like, and to cleanly specify and carry out sophisticated calculatio

This study introduces new methodological developments of Data Envelopment Analysis (DEA) that satisfy the demands of business practice and provide a multidimensional point of view on the evaluation of

Multidimensional Democracy examines political representation from the supply (legislator) and demand (constituent) perspectives. Focusing on four dimensions - policy, service, allocation, and descriptive representation - it documents systematic variation in what people want from legislators and what legislators choose to emphasize while in office. It has important implications for the study of representation, as well as normative questions about political inequality in America. The demand-side results show that constituents who are economically advantaged tend to prefer policy-based representation while the disadvantaged place relatively more importance in constituent service and/or allocation. Suggestive results from the legislator data complement this finding; legislators in wealthy, white districts tend to focus more on policy while those representing economically disadvantaged and racially diverse districts may place more emphasis on service and/or allocation. A likely consequence

The latest techniques for building a customer-focused enterprise environment"The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimension

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

"This book brings a broad spectrum of artificial intelligence and its applications under the purview of 3D image processing so that it is able to trigger further inspiration among various research com

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be availab

This volume presents an overview of the state of the art in data visualization, encompassing correspondence analysis, nonlinear principal component analysis, cluster analysis, multidimensional scaling

The 13 chapters in this collection survey current work in storing and analyzing data and using algorithms to search and discover new knowledge automatically from multidimensional data sets. Several co

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with m

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or

The Varieties of Democracy project (V-Dem) pioneered new ways to conceptualize and measure democracy, producing a multidimensional and disaggregated data set on democracy around the world that is now widely used by researchers, activists, and governments. Why Democracies Develop and Decline draws on this data to present a comprehensive overview and rigorous empirical tests of the factors that contribute to democratization and democratic decline, looking at economic, social, institutional, geographic, and international factors. It is the most authoritative and encompassing empirical analysis of the causes of democratization and reversals. The volume also proposes a comprehensive theoretical framework and presents an up-to-date description of global democratic developments from the French Revolution to the present. Each chapter leverages the specialized expertise of its authors, yet their sustained collaboration lends the book an unusually unified approach and a coherent theory and narra

The volume has as primary focus multidimensional gas chromatography (heart-cutting systems, comprehensive 2D-GC systems and hybrid solutions) and its characteristic features for in depth investigation of complex fractions of odor-active volatiles. Contributions, from outstanding researchers in the field from Academia and industry, cover fundamentals aspects on the physiology of olfaction, the strategies to identify key-odorants from the bulk of detectable volatiles (sensomics), the principles of operation of multidimensional analytical platforms (i.e., comprehensive two-dimensional gas chromatography - GC脙C; heart-cut 2D-GC, hybrid systems), and the fundamental role of mass spectrometry in providing reliable and informative data. Insights on new systems design and configurations are also provided, including sample preparation and data processing strategies, as important steps of the whole analytical process. Real-world examples cover food volatiles, complex aroma mixtures, odors emitte

Technology entrepreneurship has been receiving growing importance as an effective instrument to promote national economic growth, both from empirical researchers and policymakers. India has emerged as the third largest base for high-tech start-ups in the world. Although there is a surge in start-up creation rates in India, little is known about factors required for these start-ups to survive, sustain and grow into large enterprises, particularly in the context of emerging economies like India. This book reviews the entrepreneurial, firm-specific and external environment-specific aspects that influence the key lifecycle stages of high-tech start-ups and identifies the key factors that influence each milestone. Existing literature in this subject has limited studies on the structure of the high-tech start-up sector and processes and strategies adapted by them. This book aims to address this gap, analyzing case studies and empirical data, and provides a multidimensional framework to under

This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition

This study examined the relationship between ethical leadership and multidimensional organizational citizenship behaviors (OCBs), specifically organization-targeted OCBs (OCBO) and individual-targeted OCBs (OCBI). In addition, the study examined the multiple mediating effects of selfefficacy, respect, and leader-member exchange (LMX) on the relationship between ethical leadership and OCBO, as well as the relationship between ethical leadership and OCBI. Through the application of a hierarchical linear model, an analysis of the results from 656 dyadic supervisor- subordinate data from 145 business units in Taiwan showed that both respect and LMX significantly mediated the ethical leadership-OCBO and -OCBI relationships. The implications of these results for theory and practice and directions for future research are also discussed.

The outbreak of organised, violent peasant protests across the Chinese countryside from the late 1990s to the early 2000s has attracted much scholarly interest. In this study, An Chen endeavours to understand from these protests the question of the Chinese government's control in the countryside and the impact of this violent resistance on China's rural governance in the context of market liberalisation. Utilising extensive field research and data collected from surveys across rural China, the book provides an in-depth exploration of how rural governance in China has been transformed following two major tax reforms: the tax-for-fee reform of 2002–4, and the abolition of agricultural taxes (AAT) in 2005–6. In a multidimensional analysis which combines approaches from political science, economics, finance and sociology, Chen argues that private economic power has merged with political power in a way that has reshaped village governance in China, threatening to fundamentally change its po

Master Oracle Business Intelligence Discoverer 11gProvide secure, immediate access to critical business information from relational and multidimensional data sources across your organization. Oracle B

Measuring the performance of public agencies and programmes is essential to ensure that citizens enjoy quality services and that governments can be sure that taxpayers receive value for money. As such, good performance measurement is a crucial component of improvement and planning, monitoring and control, comparison and benchmarking and also ensures democratic accountability. This book shows how the principles, uses and practice of performance measurement for public services differ from those in for-profit organisations, being based on the need to add public value rather than profit. It describes methods and approaches for measuring performance through time, for constructing and using scorecards, composite indicators, the use of league tables and rankings and argues that data-envelopment analysis is a useful tool when thinking about performance. This demonstrates the importance of allowing for the multidimensional nature of performance, as well as the need to base measurement on a soun

Serving as both a tutorial and a reference guide to the MDX (Multidimensional Expressions) query language, this book shows data warehouse developers what they need to know to build effective multid

This book presents the first comparative review of the state of the art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query op

This book is perfect for R programmers who are interested in learning to use ggplot2 for data visualization, from the basics up to using more advanced applications, such as faceting and grouping. Sinc