Grouping Multidimensional Data

Grouping Multidimensional Data
Author: Jacob Kogan
Publisher: Taylor & Francis
Total Pages: 296
Release: 2006-02-10
Genre: Computers
ISBN: 9783540283485

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Publisher description

Grouping Multidimensional Data

Grouping Multidimensional Data
Author: Jacob Kogan
Publisher: Springer Science & Business Media
Total Pages: 273
Release: 2006-02-08
Genre: Computers
ISBN: 3540283498

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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 preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview. The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas.

Introduction to Clustering Large and High-Dimensional Data

Introduction to Clustering Large and High-Dimensional Data
Author: Jacob Kogan
Publisher: Cambridge University Press
Total Pages: 228
Release: 2007
Genre: Computers
ISBN: 9780521617932

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Focuses on a few of the important clustering algorithms in the context of information retrieval.

Classification and Multivariate Analysis for Complex Data Structures

Classification and Multivariate Analysis for Complex Data Structures
Author: Bernard Fichet
Publisher: Springer Science & Business Media
Total Pages: 460
Release: 2011-03-04
Genre: Mathematics
ISBN: 3642133126

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The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

Multidimensional Databases: Problems and Solutions

Multidimensional Databases: Problems and Solutions
Author: Rafanelli, Maurizio
Publisher: IGI Global
Total Pages: 340
Release: 2002-07-01
Genre: Technology & Engineering
ISBN: 1591400864

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Multidimensional Databases: Problems and Solutions strives to be the point of reference for the most important issues in the field of multidimensional databases. This book provides a brief history of the field and distinguishes between what is new in recent research and what is merely a renaming of old concepts. In addition Multidimensional Databases: Problems and Solutions outlines the incredible advances in technology and ever increasing demands from users in the most diverse applicative areas such as finance, medicine, statistics, business, and many more. Many of the most distinguished and well-known researchers have contributed to this book writing about their own specific field.

Intelligent Multidimensional Data Clustering and Analysis

Intelligent Multidimensional Data Clustering and Analysis
Author: Bhattacharyya, Siddhartha
Publisher: IGI Global
Total Pages: 471
Release: 2016-11-29
Genre: Computers
ISBN: 1522517774

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Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.

Multidimensional Data Visualization

Multidimensional Data Visualization
Author: Gintautas Dzemyda
Publisher: Springer Science & Business Media
Total Pages: 262
Release: 2012-11-08
Genre: Mathematics
ISBN: 1441902368

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This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

The Multidimensional Data Modeling Toolkit

The Multidimensional Data Modeling Toolkit
Author: John Paredes
Publisher: John Paredes
Total Pages: 354
Release: 2009
Genre: Business & Economics
ISBN: 0981775306

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The Multi-dimensional Data Modeling Toolkit represents over 15 years of hands-on experience developing multidimensional analytic applications for over a dozen companies in a variety of application areas. Written in a tutorial style, this book gives, in plain English, a step-by-step development of the defining principles of OLAP analysis through the lens of the programming language at the heart of Oracle's OLAP database option. You will find this book packed with examples, tricks and techniques, concrete illustrations of the programming elements needed to implement. The basics will all be there as well as advanced techniques that you can use to address the most demanding requirements. OLAP will be addressed as an analysis platform. You will learn how to make business intelligence applications smarter by upping the analytical octane. You will learn both the classic applications of OLAP analysis as well as more exotic approaches. You will learn where OLAP fits in among other analytical approaches such as statistics and data mining. So whether you are a developer wanting to learn Oracle's counterpart to Microsoft's MDX, or an analyst wanting to understand the quantitative possibilities of OLAP, The Multi-dimensional Data Modeling Toolkit will show you what you need to know to go from beginner to expert in the application of OLAP analytics with Oracle OLAP DML.