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High Dimensional Indexing
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Book Synopsis High-Dimensional Indexing by : Cui Yu
Download or read book High-Dimensional Indexing written by Cui Yu and published by Springer. This book was released on 2003-08-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this monograph, we study the problem of high-dimensional indexing and systematically introduce two efficient index structures: one for range queries and the other for similarity queries. Extensive experiments and comparison studies are conducted to demonstrate the superiority of the proposed indexing methods. Many new database applications, such as multimedia databases or stock price information systems, transform important features or properties of data objects into high-dimensional points. Searching for objects based on these features is thus a search of points in this feature space. To support efficient retrieval in such high-dimensional databases, indexes are required to prune the search space. Indexes for low-dimensional databases are well studied, whereas most of these application specific indexes are not scaleable with the number of dimensions, and they are not designed to support similarity searches and high-dimensional joins.
Book Synopsis High-Dimensional Indexing by : Cui Yu
Download or read book High-Dimensional Indexing written by Cui Yu and published by . This book was released on 2014-01-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Efficiently Indexing High Dimensional Data Spaces by : Christian Böhm
Download or read book Efficiently Indexing High Dimensional Data Spaces written by Christian Böhm and published by Herbert Utz Verlag. This book was released on 1999 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High Dimensional Spatial Indexing Using Space-Filling Curves by : Ankush Chauhan
Download or read book High Dimensional Spatial Indexing Using Space-Filling Curves written by Ankush Chauhan and published by Grin Publishing. This book was released on 2016-07-21 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Essay from the year 2015 in the subject Mathematics - Miscellaneous, language: English, abstract: Representation of two dimensional objects into one dimensional space is simple and efficient when using a two coordinate system imposed upon a grid. However, when the two dimensions are expanded far beyond visual and sometimes mental understanding, techniques are used to quantify and simplify the representation of such objects. These techniques center around spatial interpretations by means of a space-filling curve. Since the late 1800's, mathematicians and computer scientists have succeeded with algorithms that express high dimensional geometries. However, very few implementations of the algorithms beyond three dimensions for computing these geometries exist. We propose using the basic spatial computations developed by pioneers in the field like G. Peano, D. Hilbert, E. H. Moore, and others in a working model. The algorithms in this paper are fully implemented in high-level programming languages utilizing a relation database management system. We show the execution speeds of the algorithms using a space-filling curve index for searching compared to brute force searching. Finally, we contrast three space-filling curve algorithms: Moore, Hilbert, and Morton, in execution time of searching for high dimensional data in point queries and range queries.
Book Synopsis Database Theory - ICDT 2001 by : Jan Van den Bussche
Download or read book Database Theory - ICDT 2001 written by Jan Van den Bussche and published by Springer. This book was released on 2003-06-29 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Database Theory, ICDT 2001, held in London, UK, in January 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected from 75 submissions. All current issues on database theory and the foundations of database systems are addressed. Among the topics covered are database queries, SQL, information retrieval, database logic, database mining, constraint databases, transactions, algorithmic aspects, semi-structured data, data engineering, XML, term rewriting, clustering, etc.
Book Synopsis High-Dimensional Statistics by : Martin J. Wainwright
Download or read book High-Dimensional Statistics written by Martin J. Wainwright and published by Cambridge University Press. This book was released on 2019-02-21 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
Book Synopsis High-Dimensional Probability by : Roman Vershynin
Download or read book High-Dimensional Probability written by Roman Vershynin and published by Cambridge University Press. This book was released on 2018-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Book Synopsis Advances in Web Based Learning - ICWL 2009 by : Marc Spaniol
Download or read book Advances in Web Based Learning - ICWL 2009 written by Marc Spaniol and published by Springer. This book was released on 2009-08-19 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Web-Based Learning, ICWL 2009, held in Aachen, Germany, in August 2009. The 38 revised full papers and 14 short papers are presented together with three invited papers and were carefully reviewed and selected from 106 submissions. They deal with topics such as technology enhanced learning, web-based learning for oriental languages, mobile learning, social software and Web 2.0 for technology enhanced learning, learning resource deployment, organization and management, design, model and framework of E-learning systems, e-learning metadata and standards, educational gaming and multimedia storytelling for learning, as well as practice and experience sharing and pedagogical Issues.
Book Synopsis Fundamentals of Database Indexing and Searching by : Arnab Bhattacharya
Download or read book Fundamentals of Database Indexing and Searching written by Arnab Bhattacharya and published by CRC Press. This book was released on 2014-12-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Database Indexing and Searching presents well-known database searching and indexing techniques. It focuses on similarity search queries, showing how to use distance functions to measure the notion of dissimilarity. After defining database queries and similarity search queries, the book organizes the most common and representative index structures according to their characteristics. The author first describes low-dimensional index structures, memory-based index structures, and hierarchical disk-based index structures. He then outlines useful distance measures and index structures that use the distance information to efficiently solve similarity search queries. Focusing on the difficult dimensionality phenomenon, he also presents several indexing methods that specifically deal with high-dimensional spaces. In addition, the book covers data reduction techniques, including embedding, various data transforms, and histograms. Through numerous real-world examples, this book explores how to effectively index and search for information in large collections of data. Requiring only a basic computer science background, it is accessible to practitioners and advanced undergraduate students.
Book Synopsis Web-Age Information Management by : Lei Chen
Download or read book Web-Age Information Management written by Lei Chen and published by Springer Science & Business Media. This book was released on 2010-06-30 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lecture Notes in Computer Science The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on outstanding Phi) work, research projects, technical reports, etc.) More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include tutorials (textbook-like monographs or collections of lectures given at advanced courses) state-of-the-art surveys (offering complete and mediated coverage of a topic) hot topics (introducing emergent topics to the broader community)
Book Synopsis Similarity Search and Applications by : Stéphane Marchand-Maillet
Download or read book Similarity Search and Applications written by Stéphane Marchand-Maillet and published by Springer. This book was released on 2018-10-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Similarity Search and Applications, SISAP 2018, held in Lima, Peru, in October 2018. The 16 full papers presented together with 3 short papers and 1 demonstration paper were carefully reviewed and selected from 31 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are organized in the following topical sections: metric search; visual search; nearest neighbor queries; clustering and outlier detection; graphs and applications; and shared session SISAP and SPIRE.
Book Synopsis High-Dimensional Data Analysis with Low-Dimensional Models by : John Wright
Download or read book High-Dimensional Data Analysis with Low-Dimensional Models written by John Wright and published by Cambridge University Press. This book was released on 2022-01-13 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.
Author :Konstantinos Benidis Publisher :Foundations and Trends (R) in Optimization ISBN 13 :9781680834642 Total Pages :122 pages Book Rating :4.8/5 (346 download)
Book Synopsis Optimization Methods for Financial Index Tracking by : Konstantinos Benidis
Download or read book Optimization Methods for Financial Index Tracking written by Konstantinos Benidis and published by Foundations and Trends (R) in Optimization. This book was released on 2018-06-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth overview of the index tracking problem analyzing all the caveats and practical issues an investor might have, such as the frequent rebalancing of weights, the changes in the index composition, the transaction costs, etc.
Book Synopsis Encyclopedia of GIS by : Shashi Shekhar
Download or read book Encyclopedia of GIS written by Shashi Shekhar and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.
Book Synopsis Indexing Techniques for Advanced Database Systems by : Elisa Bertino
Download or read book Indexing Techniques for Advanced Database Systems written by Elisa Bertino and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.
Book Synopsis Clustering and Indexing Methods for High Dimensional Data and Moving Objects by : Dimitrios Papadopoulos
Download or read book Clustering and Indexing Methods for High Dimensional Data and Moving Objects written by Dimitrios Papadopoulos and published by . This book was released on 2005 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Biclustering Methods for Big and High-Dimensional Data Using R by : Adetayo Kasim
Download or read book Applied Biclustering Methods for Big and High-Dimensional Data Using R written by Adetayo Kasim and published by CRC Press. This book was released on 2016-10-03 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.
