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Author : Hanan Samet
Publisher : Morgan Kaufmann
Page : 1023 pages
File Size : 50,7 Mb
Release : 2006-08-08
Category : Computers
ISBN : 9780123694461
Publisher Description
Author : Avrim Blum,John Hopcroft,Ravindran Kannan
Publisher : Cambridge University Press
Page : 433 pages
File Size : 54,7 Mb
Release : 2020-01-23
Category : Computers
ISBN : 9781108485067
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Author : Hanan Samet
Publisher : Addison Wesley Publishing Company
Page : 536 pages
File Size : 50,9 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018337876
Author : Mark Allen Weiss
Publisher : Unknown
Page : 588 pages
File Size : 40,6 Mb
Release : 2003
Category : C++ (Computer program language)
ISBN : 0321189965
In this second edition of his successful book, experienced teacher and author Mark Allen Weiss continues to refine and enhance his innovative approach to algorithms and data structures. Written for the advanced data structures course, this text highlights theoretical topics such as abstract data types and the efficiency of algorithms, as well as performance and running time. Before covering algorithms and data structures, the author provides a brief introduction to C++ for programmers unfamiliar with the language. Dr Weiss's clear writing style, logical organization of topics, and extensive use of figures and examples to demonstrate the successive stages of an algorithm make this an accessible, valuable text. New to this Edition *An appendix on the Standard Template Library (STL) *C++ code, tested on multiple platforms, that conforms to the ANSI ISO final draft standard 0201361221B04062001
Author : Clifford A. Shaffer
Publisher : Unknown
Page : 536 pages
File Size : 54,8 Mb
Release : 2001
Category : Computers
ISBN : UCSC:32106012552565
This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.
Author : Arvind Kumar Bansal,Javed Iqbal Khan,S. Kaisar Alam
Publisher : CRC Press
Page : 664 pages
File Size : 47,9 Mb
Release : 2020-01-08
Category : Medical
ISBN : 9781000761597
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development
Author : Arnab Bhattacharya
Publisher : CRC Press
Page : 287 pages
File Size : 51,9 Mb
Release : 2014-12-02
Category : Business & Economics
ISBN : 9781466582545
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.
Author : Gonzalo Navarro
Publisher : Cambridge University Press
Page : 575 pages
File Size : 47,5 Mb
Release : 2016-09-08
Category : Computers
ISBN : 9781107152380
This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.
Author : Clifford A. Shaffer
Publisher : Courier Corporation
Page : 626 pages
File Size : 55,7 Mb
Release : 2012-07-26
Category : Computers
ISBN : 9780486172620
Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses C++ as the programming language.
Author : Clifford A. Shaffer
Publisher : Courier Corporation
Page : 607 pages
File Size : 43,7 Mb
Release : 2012-09-06
Category : Computers
ISBN : 9780486173566
Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language.
Author : Dinesh P. Mehta,Sartaj Sahni
Publisher : Taylor & Francis
Page : 2007 pages
File Size : 41,8 Mb
Release : 2018-02-21
Category : Computers
ISBN : 9781351645645
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
Author : Abel Gomes,Irina Voiculescu,Joaquim Jorge,Brian Wyvill,Callum Galbraith
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 49,6 Mb
Release : 2009-05-12
Category : Computers
ISBN : 9781848824065
Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the mathematics, computational methods and data structures, as well as the algorithms needed to render implicit curves and surfaces, and shows how implicit objects can easily describe smooth, intricate, and articulatable shapes, and hence why they are being increasingly used in graphical applications. Divided into two parts, the first introduces the mathematics of implicit curves and surfaces, as well as the data structures suited to store their sampled or discrete approximations, and the second deals with different computational methods for sampling implicit curves and surfaces, with particular reference to how these are applied to functions in 2D and 3D spaces.
Author : Akrivi Vlachou,Christos Doulkeridis,Kjetil Nørvåg,Yannis Kotidis
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 50,6 Mb
Release : 2012-04-13
Category : Technology & Engineering
ISBN : 9781461421108
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 all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators.
Author : Lu, Joan,Xu, Qiang
Publisher : IGI Global
Page : 632 pages
File Size : 47,8 Mb
Release : 2017-02-08
Category : Computers
ISBN : 9781522520597
Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.
Author : Carlos Coello Coello,Satchidananda Dehuri,Susmita Ghosh
Publisher : Springer
Page : 287 pages
File Size : 50,5 Mb
Release : 2009-10-01
Category : Technology & Engineering
ISBN : 9783642036255
The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.