Information architecture Books

The book is an introduction to complex networks and complex network analysis. It guides the reader through the network construction, exploration, and visualization process (both by hand in Gephi and in Python using modules networkx and community). The...

Essential to database design, entity-relationship (ER) diagrams are known for their usefulness in data modeling and mapping out clear database designs. They are also well-known for being difficult to master. With Database Design Using Entity-Relationship...

Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and...

Praise for the first edition:[This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models...

In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated.The rise of big data analytics...

Infrastructure makes worlds. Software coordinates labor. Logistics governs movement. These pillars of contemporary capitalism correspond with the materiality of digital communication systems on a planetary scale. Ned Rossiter theorizes the force of...

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors.

Gain extensive, practical knowledge of 3D design with Adobe Substance 3D and learn to build a comprehensive portfolio of work with this interactive bookKey Features:Find out how to use Adobe Substance 3D swiftly and with little prior knowledgeUse a...

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey FeaturesLearn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data...

Publisher's Note: This edition from 2018 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 with coverage of neural network implementation, reinforcement...

Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutionsKey FeaturesMaster PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach.An...

Learn how to apply powerful data analysis techniques with popular open source Python modules Key Features Find, manipulate, and analyze your data using the Python 3.5 librariesPerform advanced, high-performance linear algebra and mathematical...

Pattern Analysis and cluster mapping made easy Key Features:Analyze patterns, clusters, and spatial relationships using ArcGIS toolsGet up to speed in R programming to create custom tools for analysisSift through tons of crime and real estate data and...

Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataKey FeaturesMake better business decisions and acquire greater control of your IoT infrastructureLearn techniques to solve unique problems associated with...

Group testing emerged as an area for research from the need for the US Government to screen recruits in the second world war for syphilis. Obviously rather than testing each recruit, a more efficient method involving the minimal number of tests was...

Security is one of the most important issues in communications. Security issues arising in communication networks include confidentiality, integrity, authentication and non-repudiation. Attacks on the security of communication networks can be divided...

Formal Languages and Computation: Models and Their Applications gives a clear, comprehensive introduction to formal language theory and its applications in computer science. It covers all rudimental topics concerning formal languages and their models,...

Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus­ tering has been used in information retrieval for many different purposes, such as...

Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP...

One of the main uses of computer systems is the management of large amounts of symbolic information representing the state of some application domain, such as information about all the people I communicate with in my...

Information and Process Integration in Enterprises: Rethinking Documents is a bold attempt to address information and process integration issues as a single body of research and practice. This book has identified the concept...

Constraints and Databases contains seven contributions on the rapidly evolving research area of constraints and databases. This collection of original research articles has been compiled as a tribute to Paris C. Kanellakis,...

Database Support for Workflow Management: The WIDE Project presents the results of the ESPRIT WIDE project on advanced database support for workflow management. The book discusses the state of the art in combining database...

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, ...

Information security is receiving a great deal of attention as computers increasingly process more and more sensitive information. A multilevel secure database management system (MLS DBMS) is designed to store, retrieve and...

Biometrics-based authentication and identification are emerging as the most reliable method to authenticate and identify individuals. Biometrics requires that the person to be identified be physically present at the...

also in: THE KLUWER INTERNATIONAL SERIES ON ASIAN STUDIES IN COMPUTER AND INFORMATION SCIENCE, Volume 2

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms...

Grid Data Management.- Accessing Data in Grids Using OGSA-DAI.- Service Choreography for Data Integration on the Grid.- Accessing Web Databases Using OGSA-DAI in BDWorld.- Failure Recovery Alternatives in Grid-Based Distributed Query Processing: A Case...

The ubiquitous nature of mobile and pervasive computing has begun to reshape and complicate our notions of space, time, and identity. In this collection, over thirty internationally recognized contributors reflect on ubiquitous computing's implications...

Machine learning has become a buzzword in today's technological landscape, and it is crucial for everyone, regardless of their background, to have a basic understanding of this concept. This subchapter aims to demystify machine learning and provide a...

This book addresses issues during the Covid phase and post-Covid phase through mathematical modeling.

Implement machine learning pipelines with Google Cloud Vertex AIKey Features:Understand the role of an AI platform and MLOps practices in machine learning projectsGet acquainted with Google Vertex AI tools and offerings that help accelerate the creation...

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasetsKey Features:Master each concept through practical exercises and activitiesDiscover various statistical techniques to analyze your dataImplement...

A comprehensive guide for data scientists to master effective data cleaning tools and techniquesKey Features:Think about your data intelligently and ask the right questionsMaster data cleaning techniques using hands-on examples belonging to diverse...

Drive value and insight by developing business critical applications with QlikView 12Key FeaturesDevelop your own scalable and maintainable QlikView applicationsLearn time-saving techniques for making your QlikView development more efficientA one-stop...

An example-rich, comprehensive guide for all of your Python computational needsKey FeaturesYour ultimate resource for getting up and running with Python numerical computationsExplore numerical computing and mathematical libraries using Python 3.x code...