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Event Attendance Prediction in Social Networks

first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a;

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76 Ways to Increase Special Event Attendance

events with new mobile applications * Offering transportation to increase attendance * Social media promotion * Event organization * Guidelines;

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Intelligent Random Walk

social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk;

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Computational Social Networks

link prediction and recommendation; and social network structure analysis.;

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Web Information Systems Engineering - WISE 2016

Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event;

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Web Information Systems Engineering - WISE 2016

Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event;

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Prediction and Inference from Social Networks and Social Media

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected;

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Single Event Effects in Aerospace

depending on the orbit to allow electronics engineers to design and select radiation tolerant components and systems, and single event prediction.;

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Connectivity Prediction in Mobile Ad Hoc Networks for Real-Time Control

connectivity can be realized dependably. One aspect of the dependability is the prediction of connectivity in the mobile ad hoc network. The presented;

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Fundamentals Of Network Biology

, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and;

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From Social Data Mining and Analysis to Prediction and Community Detection

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context;

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Towards Solving the Social Science Challenges with Computing Methods

Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools;

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Learning from Multiple Social Networks

prediction. Finally, we conclude the book and figure out the future research directions in multiple social network learning, including the privacy;

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New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein;

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Security and Privacy Issues in Special-Purpose Networks

ad hoc networks and social networks. Sensor networks have a wide variety of applications related to event surveillance like emergency;

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Social Networks with Rich Edge Semantics

understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different;

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Social Networks with Rich Edge Semantics

embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency;

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The North Carolina State Fair

With an annual attendance of 800,000, the North Carolina State Fair is the state's largest event and is the largest ten-day agricultural;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Analysis of Images, Social Networks and Texts

This book constitutes the post-conference proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts;

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Analysis of Images, Social Networks and Texts

This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind;

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New Developments In Artificial Neural Networks Research

neural network based visual servo system; modelling of computer-assisted learning using artificial neural networks; prediction of hole quality;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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