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ویرایش:
نویسندگان: Jeremy Kepner and Hayden Jananthan
سری:
ناشر: The MIT Press
سال نشر: 2018
تعداد صفحات: [490]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 10 Mb
در صورت تبدیل فایل کتاب Mathematics of Big Data Spreadsheets, Databases, Matrices, and Graphs به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب ریاضیات صفحات گسترده داده های بزرگ، پایگاه های داده، ماتریس ها و نمودارها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface About the Authors About the Cover Acknowledgments Applications and Practice Introduction and Overview Mathematics of Data Data in the World Mathematical Foundations Making Data Rigorous Conclusions, Exercises, and References Perspectives on Data Interrelations Spreadsheets Databases Matrices Graphs Map Reduce Other Perspectives Conclusions, Exercises, and References Dynamic Distributed Dimensional Data Model Background Design Matrix Mathematics Common SQL, NoSQL, NewSQL Interface Key-Value Store Database Schema Data-Independent Analytics Parallel Performance Computing on Masked Data Conclusions, Exercises, and References Associative Arrays and Musical Metadata Data and Metadata Dense Data Dense Operations Sparse Data Sparse Operations Conclusions, Exercises, and References Associative Arrays and Abstract Art Visual Abstraction Minimal Adjacency Array Symmetric Adjacency Array Weighted Adjacency Array Incidence Array Conclusions, Exercises, and References Manipulating Graphs with Matrices Introduction Matrix Indices and Values Composable Graph Operations and Linear Systems Matrix Graph Operations Overview Graph Algorithms and Diverse Semirings Conclusions, Exercises, and References Graph Analysis and Machine Learning Systems Introduction Data Representation Graph Construction Adjacency Array Graph Traversal Incidence Array Graph Traversal Vertex Degree Centrality Edge Degree Centrality Eigenvector Centrality Singular Value Decomposition PageRank Deep Neural Networks Conclusions, Exercises, and References Mathematical Foundations Visualizing the Algebra of Associative Arrays Associative Array Analogs of Matrix Operations Abstract Algebra for Computer Scientists and Engineers Depicting Mathematics Associative Array Class Diagrams Set Semiring Linear Algebra Ordered Sets Boolean Algebra Associative Array Algebra Conclusions, Exercises, and References Defining the Algebra of Associative Arrays Operations on Sets Ordered Sets Supremum and Infimum Lattice The Semirings of Interest Conclusions, Exercises, and References Structural Properties of Associative Arrays Estimating Structure Associative Array Formal Definition Padding Associative Arrays with Zeros Zero, Null, Zero-Sum-Free Properties of Matrices and Associative Arrays Properties of Zero Padding Support and Size Image and Rank Example: Music Example: Art Properties of Element-Wise Addition Properties of Element-Wise Multiplication Array Multiplication Closure of Operations between Arrays Conclusions, Exercises, and References Graph Construction and Graphical Patterns Introduction Adjacency and Incidence Array Definitions Adjacency Array Construction Graph Construction with Different Semirings Special Arrays and Graphs Key Ordering Algebraic Properties Subobject Properties Conclusions, Exercises, and References Linear Systems Survey of Common Transformations Array Transformations Identity Contraction Stretching Rotation Conclusions, Exercises, and References Maps and Bases Semimodules Linear Maps Linear Independence and Bases Existence of Bases Size of Bases Semialgebras and the Algebra of Arrays Conclusions, Exercises, and References Linearity of Associative Arrays The Null Space of Linear Maps Supremum-Blank Algebras Max-Blank Structure Theorem Examples of Supremum-Blank Algebras Explicit Computations of x(A,w) for Supremum-Blank Algebras Conclusions, Exercises, and References Eigenvalues and Eigenvectors Introduction Quasi-Inverses Existence of Eigenvalues for Idempotent Multiplication Strong Dependence and Characteristic Bipolynomial Eigenanalysis for Irreducible Matrices for Invertible Multiplication Eigen-Semimodules Singular Value Decomposition Conclusions, Exercises, and References Higher Dimensions d-Dimensional Associative Arrays Key Ordering and Two-Dimensional Projections Algebraic Properties Subarray Properties Conclusions, Exercises, and References Appendix: Notation Index Answers to Selected Exercises