Author: C. C. Huber
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 260
Book Description
INSITE Information System Data Graphs
Author: C. C. Huber
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Nuclear power plants
Languages : en
Pages : 260
Book Description
NUREG/CR.
Author: U.S. Nuclear Regulatory Commission
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 260
Book Description
Monthly Catalog of United States Government Publications
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 992
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 992
Book Description
Making Data Visual
Author: Danyel Fisher
Publisher: "O'Reilly Media, Inc."
ISBN: 1491928441
Category : Computers
Languages : en
Pages : 167
Book Description
"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--
Publisher: "O'Reilly Media, Inc."
ISBN: 1491928441
Category : Computers
Languages : en
Pages : 167
Book Description
"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--
Monthly Catalog of United States Government Publications
Author: United States. Superintendent of Documents
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1256
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1256
Book Description
Publications 1968 to 1985
Author: Argonne National Laboratory. Energy and Environmental Systems Division
Publisher:
ISBN:
Category : Pollution
Languages : en
Pages : 92
Book Description
Publisher:
ISBN:
Category : Pollution
Languages : en
Pages : 92
Book Description
Energy & Environmental Systems Division, EES Publications, 1968-1986
Author: Argonne National Laboratory. Energy and Environmental Systems Division
Publisher:
ISBN:
Category : Environmental protection
Languages : en
Pages : 112
Book Description
Publisher:
ISBN:
Category : Environmental protection
Languages : en
Pages : 112
Book Description
Principles of Big Graph: In-depth Insight
Author:
Publisher: Elsevier
ISBN: 0323898114
Category : Computers
Languages : en
Pages : 460
Book Description
Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Provides an update on the issues and challenges faced by current researchers Updates on future research agendas Includes advanced topics for intensive research for researchers
Publisher: Elsevier
ISBN: 0323898114
Category : Computers
Languages : en
Pages : 460
Book Description
Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Provides an update on the issues and challenges faced by current researchers Updates on future research agendas Includes advanced topics for intensive research for researchers
Monthly Catalogue, United States Public Documents
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1128
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1128
Book Description
Energy Research Abstracts
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 488
Book Description
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 488
Book Description