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Patent Analytics

structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a;

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Patent Analytics

structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Big Data Analytics in Cybersecurity

current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data;

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Big Data and Computational Intelligence in Networking

comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for;

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Soft Computing in Data Science

This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held;

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Social Network Analytics

in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional;

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Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to;

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Network Data Analytics

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics;

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Getting Started with Business Analytics

when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer;

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Social Network Data Analytics

towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the;

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Social Network Data Analytics

towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the;

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Data Analytics for IT Networks

about integrating analytics in networks. But successfully doing so requires a deep understanding of both networking and data, and that's a rare;

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Big Data Analytics

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore;

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Big Data Analytics

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore;

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Big Data Analytics for Sustainable Computing

learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational;

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5G Networks

ranging from network resilience to how Big Data analytics can used in network design optimization. The book addresses 5G optimization issues that;

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Biological Network Analysis

theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour;

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Data Management Analytics and Innovation

and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International;

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Codeless Deep Learning with KNIME

you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems. Starting;

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Handbook of Big Data Analytics: Methodologies

range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour;

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Big Data and Software Defined Networks

Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary;

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Marketing Data Science

network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Advanced Data Analytics Using Python

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark;

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Text Analytics

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer;

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