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Data Entry Center Server Network Rack Communication Network Wall Mounted Cabinet
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Data Mining for Social Network Data
Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science.This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis.It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well.It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Network Security and Data Privacy in 6G Communication : Trends, Challenges, and Applications
This book proposes robust solutions for securing a network against intrusions for data privacy and safety.It includes theoretical models, commercialization of validated models, and case studies. Explains the integration of technologies such as artificial intelligence, the Internet of Things, and blockchain for network security in a 6G communication system. Highlights the challenges such as spectrum allocation and management, network architecture and heterogeneity, energy efficiency and sustainability, antenna, and radio frequency. Discuss theories like quantum-safe cryptography, zero-trust networking, and blockchain-based trust management. Covers emerging technologies including homomorphic encryption, secure multi-party computation, post-quantum cryptography, and distributed ledger technology for security and privacy in 6G communication systems. Presents light and deep secure algorithms to detect fake incidents in wireless communication. The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, and computer science.
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What is the difference between data integration and data consolidation?
Data integration involves combining data from different sources and formats into a single, unified view. This process ensures that the data is consistent and can be easily accessed and analyzed. On the other hand, data consolidation involves gathering data from different sources and storing it in a centralized location. This process helps to eliminate data silos and provides a single source of truth for the organization. In summary, data integration focuses on combining data for analysis and usage, while data consolidation focuses on centralizing data storage.
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How to calculate the amount of data in digital video data?
To calculate the amount of data in digital video data, you need to consider the resolution, frame rate, and bit depth of the video. First, calculate the total number of pixels in each frame by multiplying the width by the height of the video resolution. Then, multiply this by the number of frames per second to get the total number of pixels per second. Finally, multiply this by the bit depth (usually 8 bits per color channel) to get the total amount of data per second in bits.
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How do you calculate the amount of data in digital video data?
The amount of data in digital video data can be calculated by multiplying the video resolution (width x height in pixels), the bit depth (number of bits used to represent each color channel), the frame rate (number of frames per second), and the duration of the video in seconds. This will give you the total amount of data in bits. To convert this to a more commonly used unit, such as megabytes or gigabytes, you can divide the total amount of data in bits by 8 to get the amount in bytes, and then divide by 1024 multiple times to convert to larger units.
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How can one intercept network data?
One can intercept network data through various methods such as packet sniffing, man-in-the-middle attacks, and network tapping. Packet sniffing involves capturing data packets as they travel across a network, allowing the interceptor to view the contents of the packets. Man-in-the-middle attacks involve intercepting communication between two parties by positioning oneself between them and relaying the data back and forth. Network tapping involves physically accessing the network cables or devices to intercept the data passing through them. These methods can be used for legitimate purposes such as network troubleshooting or security monitoring, but they can also be exploited for malicious activities.
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Communication Principles for Data Science
This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution.One major goal of the book is to demonstrate the role of the digital communication principles in a wide variety of data science applications, including community detection, computational biology, speech recognition and machine learning.One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications.All the key “plots” involved in the story are coherently developed with the help of tightly coupled exercise problem sets, and the associated fundamentals are explored mostly from first principles.Another key feature is that it includes programming implementation of a variety of algorithms inspired by fundamentals, together with a brief tutorial of the used programming tools.The implementation is based on Python and TensorFlow.This book does not follow a traditional book-style organization, but is streamlined via a series of lecture notes that are intimately related, centered around coherent storylines and themes.It serves as a textbook mainly for a junior- or senior-level undergraduate course, yet is also suitable for a first-year graduate course.Readers benefit from having a good background in probability and random processes, and basic familiarity with Python.But the background can be supplemented by almost self-contained materials, as well as by numerous exercise problems intended for elaborating on non-trivial concepts.In addition, Part III for data science applications should provide motivation and insights to students and even professional scientists who are interested in the field.
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Foundations for Architecting Data Solutions : Managing Successful Data Projects
Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development.Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects.This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications.Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.You’ll learn how to: Build a Big Data center of excellence in your company for the first time Identify and manage risk in your data project Retain and motivate teams to increase engagement and innovation Maximize Big Data ROI and align cost structure to help your company attain success
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Working with Network Data : A Data Science Perspective
Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted.The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems.This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data.The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts.Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis.Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.
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2x Network Economiser - Cable Economiser - Data - Data Splitter
Network economiser network cable saver allows two network connections to pass via a single 4 pair Cat5e or Cat6 network cable.
Price: 9.56 € | Shipping*: Check Site €
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Is digital data protection important to you?
Yes, digital data protection is very important to me. As a consumer, I want to ensure that my personal information is secure and not vulnerable to cyber attacks or data breaches. As a professional, I understand the importance of protecting sensitive business data and maintaining the trust of clients and customers. In today's digital age, data protection is essential for both personal and professional security.
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How can one eavesdrop on network data?
One can eavesdrop on network data by using various techniques such as packet sniffing, man-in-the-middle attacks, and network tapping. Packet sniffing involves capturing data packets as they travel across a network, allowing the eavesdropper to view the contents of the communication. Man-in-the-middle attacks involve intercepting and relaying communication between two parties without their knowledge. Network tapping involves physically accessing the network infrastructure to monitor the data passing through. These techniques can be used to intercept sensitive information such as passwords, financial data, and personal messages.
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Who provides the data in a file-sharing platform?
The data in a file-sharing platform is provided by the users who upload and share their files on the platform. These users can be individuals, organizations, or businesses who want to share documents, images, videos, or other types of files with others. The platform itself serves as a medium for users to store, manage, and distribute their data to others who have access to the platform.
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What is digital communication?
Digital communication refers to the exchange of information through electronic devices such as computers, smartphones, and tablets. It involves sending and receiving data in the form of text, images, videos, or audio over digital channels like email, social media, messaging apps, and websites. Digital communication allows for instant and efficient communication between individuals or groups regardless of geographical location, making it a vital aspect of modern-day interactions and business operations.
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