Knowledge Graphs and Big Data Processing (Valentina Janev, et al)

0.0 (0)
Knowledge Graphs and Big Data Processing (Valentina Janev, et al)

Data analytics uses computational techniques to generate insights. It is utilized in many industries today to help businesses and organizations make better decisions and to support or refute ideas and models that already exist.

The terms intelligence, statistics, reasoning, data mining, knowledge discovery, and others are frequently used interchangeably with the word data analytics.

This book's objective is to introduce some definitions, methods, tools, frameworks, and solutions for big data processing, starting with the methods for knowledge representation and information extraction, moving through knowledge processing and analytics, and ending with visualization, sense-making, and practical applications.

With a focus on comprehending Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions, each chapter in this book discusses some important parts of the data processing chain.

Ebook Details

Published Date / Year
1st ed. 2020 edition (July 16, 2020)
CC BY 4.0
224 pages
eBook Format
PDF (212 pages) and ePub

Similar Programming & Computer Books

Tracer des graphes avec Metapost - Drawing graphs with Metapost (John D. Hobby)
In this free programming manual, a graph-drawing package that has been added to the Metapost graphics language is described. A robust macro tool is available in METAPOST to implement...
Strategic Foundations of General Equilibrium: Dynamic Matching and Bargaining Games (Douglas Gale)
Since Adam Smith's day, the theory of competition has played a significant role in economic study. This book, published by one of the most eminent modern economic theorists, details...
The Pure Logic Of Choice (Richard D. Fuerle)
A broad theory of economics based on free will is presented in this free programming book. The assumption that humans have free will and the ability to alter physical...
Portfolio Theory and Financial Analyses (Robert Alan Hill)
Whether they involve calculating the return on a portfolio, analyzing portfolio risk, or assessing the effectiveness of the portfolio management process, this free programming book links each of the...
Price Theory: An Intermediate Text (David D. Friedman)
In order to help the reader grasp the economic way of thinking, the author first gives verbal, intuitive explanations of the topics before using graphs and/or calculus to illustrate...
Mathematical Models in Portfolio Analysis (Farida Kachapova)
This free programming book presents the mathematical theory of portfolio modeling in financial mathematics as a coherent whole, with justifications for each step. ...
An Architecture for Combinator Graph Reduction (Philip J. Koopman, Jr.)
The outcomes of research using an abstract machine and cache simulation for decreasing combinator graphs are provided. For similar types of combinator graphs on comparable types of hardware, the...
Data Mining in Medical and Biological Research (Eugenia G. Giannopoulou)
The goal of this free programming book is to compile the most recent developments and uses of data mining research from around the globe in the exciting fields of...
The Biostar Handbook (Dr. Istvan Albert)
The scientific field of bioinformatics, which combines biology, computer science, and statistical data analytics, is explained to readers in this useful book. Bioinformatics is concerned with the digital processing...
Planning for Big Data: A CIO's Handbook to the Changing Data Landscape (Edd Dumbill)
This free programming book offers a useful, approachable "brief" on the state of Big Data analytics today and how you may profitably use this technology to boost your company's...

Others Programming Books by Springer

Stochastic Calculus and Finance (Steven E. Shreve)
The first 10 years of the Carnegie Mellon Professional Master program in Computational Finance led to the development of stochastic calculus for finance. Students with calculus and probability based...
Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Christian Rathgeb, et al)
The first thorough compilation of research on the popular subject of digital face alteration, including DeepFakes, Face Morphing, and Reenactment, is offered in this open access book. ...
Bayes Factors for Forensic Decision Analyses with R (Silvia Bozza, et al)
With the help of the R programming language, this book offers a self-contained introduction to computational Bayesian statistics. This free programming book, which primarily focuses on Bayes factors supported...
Multimedia Forensics (Husrev Taha Sencar, et al)
The field of media forensics has never been more important to modern society. Media content not only makes up an ever-growing portion of the data that is transmitted over...
MMIXware: A RISC Computer for the Third Millennium (Donald E. Knuth)
This free programming book is a compilation of CWEB applications that turn MMIX into a virtual world. Among the included utilities are two simulators that run the programs in...
Ada 95 Rationale - The Language - The Standard Libraries (Laurent Guerby)
The justification for Ada 95, the updated International Standard, is discussed in this book. The first section, titled "Introduction to Ada 95," provides a general discussion of the program's...
Ada 95 Reference Manual: Language and Standard Libraries (Tucker S. Taft, et al)
The new International Standard ISO/IEC 8652:1995(E) for the Ada programming language is nearly identical to this Ada 95 Reference Manual.
Ada 95: The Lovelace Tutorial (David A. Wheeler)
Ada 95, one of the most popular programming languages in use today, is introduced by Lovelace. No prior knowledge of Ada is assumed, and all the fundamentals of the...
Introducing Ada 95 - The Language for a Complex World (John Barnes)
Ada is a programming language of particular value when creating large, reliable programs. This document introduces Ada 95, the updated International Standard, which increases Ada's flexibility and expands its...
Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation (Kent-André Mardal, et al)
This open-access book connects standard imaging and neuroscience technologies with the numerical solution of PDEs for brain modeling.
Mobile Forensics - The File Format Handbook (Christian Hummert, et al)
This free book compiles information on several file systems and file formats frequently used on mobile devices. Along with a basic explanation of the formats, there is information about...
Concrete Semantics: With Isabelle/HOL (Tobias Nipkow, et al.)
The reader learns how to use a proof assistant as a practical instrument for formal proofs concerning computer science artifacts as well as the art of exact logical reasoning...
Lectures on Symplectic Geometry (Ana Cannas da Silva)
These notes are intended to give graduate students who have some background in differential geometry, de Rham theory, and classical Lie groups a quick introduction to symplectic geometry. ...
Theory of Seismic Imaging (John A. Scales)
Currently, seismic imaging techniques are used to create images of the Earth's subsurface properties at a variety of length scales, from long-period images of the entire planet to high-resolution,...
Quantum Computing for the Quantum Curious (Ciaran Hughes, et al.)
With the publication of this open-access book, quantum computing is now more available than ever. Quantum computing, a rapidly expanding area at the nexus of physics and computer science,...
Scaling a Software Business: The Digitalization Journey (B. Fitzgerald, et al.)
The game's rules have been altered by software. Everyone talks about how society and industry are becoming more digitalized, and how the emphasis has switched from creating actual goods...
A Practical Theory of Programming (Eric C.R. Hehner)
Understanding the underlying theoretical paradigm is necessary to comprehend programming and programming languages. This book examines programming concepts that can be mathematically proven.
Error-Correction Coding and Decoding (Martin Tomlinson, et al)
The theory and practical uses of self-correcting data, sometimes known as error-correcting codes, are covered in this book.
The Functional Analysis of Quantum Information Theory (Ved Prakash Gupta, et al)
With a particular emphasis on their use in quantum information science, this book gives readers a condensed introduction to recent studies on operator algebras and their generalizations, operator spaces,...
Bayesian Methods in the Search for MH370 (Samuel Davey, et al.)
This book shows how a probability distribution of potential MH370 flight trajectories was generated using nonlinear/non-Gaussian Bayesian time series estimate techniques.

User reviews

There are no user reviews for this listing.
Rate this Book