Event Attendance Prediction In Social Networks
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Author | : Xiaomei Zhang |
Publisher | : Springer Nature |
Total Pages | : 59 |
Release | : 2022-01-01 |
Genre | : Mathematics |
ISBN | : 303089262X |
This volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention because of its wide range of potential applications. By predicting event attendance, events that better fit users’ interests can be recommended, and personalized location-based or topic-based services related to the events can be provided to users. Moreover, it can help event organizers estimating the event scale, identifying conflicts, and help manage resources. This book first surveys existing techniques on event attendance prediction and other related topics in event-based social networks. It then introduces a context-aware data mining approach to predict the event attendance by learning how users are likely to attend future events. Specifically, three sets of context-aware attributes are identified by analyzing users’ past activities, including semantic, temporal, and spatial attributes. This book illustrates how these attributes can be applied for event attendance prediction by incorporating them into supervised learning models, and demonstrates their effectiveness through a real-world dataset collected from event-based social networks.
Author | : Meshulam (Shuli) Golovinski |
Publisher | : Lulu.com |
Total Pages | : 134 |
Release | : 2012-11-22 |
Genre | : Business & Economics |
ISBN | : 1300373512 |
The Event Industry is a rapidly changing environment that is being shaped by both people and technology in unbelievable ways. That was the intention of this project, to reach out to our industry movers and shakers, investigate their thoughts and blend this all into one book that try to envision how events will look like in 2020... Join Shuli Golovinski, the CEO of Newtonstrand as he describes the future trends in the events industry, what are the directions and technologies we will need for our future events, and how your event organization can produce the events that will attract and keep the youngest generations. The collective answers coming from 384 of the top event professionals in the world crafted into easy to read chapters that capsulate it all, amazingly enough the "Wisdom of the Crowds" concept worked again and the information found was stunning. With new technology and the right mindset behind it, your events can go farther than ever before.
Author | : Hong Gao |
Publisher | : Springer |
Total Pages | : 401 |
Release | : 2016-04-11 |
Genre | : Computers |
ISBN | : 3319320556 |
This book constitutes the workshop proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The volume contains 32 full papers (selected from 43 submissions) from 4 workshops, each focusing on a specific area that contributes to the main themes of DASFAA 2016: The Third International Workshop on Semantic Computing and Personalization, SeCoP 2016; the Third International Workshop on Big Data Management and Service, BDMS 2016; the First International Workshop on Big Data Quality Management, BDQM 2016; and the Second International Workshop on Mobile of Internet, MoI 2016.
Author | : Leighton Vaughan Williams |
Publisher | : Routledge |
Total Pages | : 289 |
Release | : 2011-06-16 |
Genre | : Business & Economics |
ISBN | : 113671569X |
How does one effectively aggregate disparate pieces of information that are spread among many different individuals? In other words, how does one best access the ‘wisdom of the crowd’? Prediction markets, which are essentially speculative markets created for the purpose of aggregating information and making predictions, offer the answer to this question. The effective use of these markets has the potential not only to help forecast future events on a national and international level, but also to assist companies, for example, in providing improved estimates of the potential market size for a new product idea or the launch date of new products and services. The markets have already been used to forecast uncertain outcomes ranging from influenza to the spread of infectious diseases, to the demand for hospital services, to the box office success of movies, climate change, vote shares and election outcomes, to the probability of meeting project deadlines. The insights gained also have many potentially valuable applications for public policy more generally. These markets offer substantial promise as a tool of information aggregation as well as forecasting, whether alone or as a supplement to other mechanisms like opinion surveys, group deliberations, panels of experts and focus groups. Moreover, they can be applied at a macroeconomic and microeconomic level to yield information that is valuable for government and commercial policy-makers and which can be used for a number of social purposes. This volume of original readings, contributed by many of the leading experts in the field, marks a significant addition to the base of knowledge about this fascinating subject area. The book should be of interest to anyone looking at monetary economics, economic forecasting and microeconomics.
Author | : |
Publisher | : |
Total Pages | : 367 |
Release | : 2020 |
Genre | : |
ISBN | : 9781450376976 |
Author | : Ajith Abraham |
Publisher | : Springer Science & Business Media |
Total Pages | : 390 |
Release | : 2012-08-14 |
Genre | : Computers |
ISBN | : 1447140540 |
This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
Author | : Shamkant B. Navathe |
Publisher | : Springer |
Total Pages | : 560 |
Release | : 2016-03-24 |
Genre | : Computers |
ISBN | : 3319320254 |
This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.
Author | : Zhiwen Yu |
Publisher | : Springer Nature |
Total Pages | : 277 |
Release | : 2020-02-29 |
Genre | : Computers |
ISBN | : 9811521093 |
Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.
Author | : Iraq Ahmad Reshi |
Publisher | : CRC Press |
Total Pages | : 239 |
Release | : 2024-02-08 |
Genre | : Computers |
ISBN | : 1040000592 |
This book presents an overview of the blockchain-based Internet of Things systems, along with the opportunities, challenges, and solutions in diverse fields such as business, education, agriculture, and healthcare. It discusses scalability, security, layers, threats, and countermeasures in blockchain-based Internet of Things network. Elaborates on the opportunities presented by combining blockchain with artificial intelligence on the Internet of Things systems in the management of food systems, and drug supply chains Explains the management of computationally intensive tasks in blockchain-based Internet of Things through the development of lightweight protocols Presents various applications in fields including logistics and the supply chain, automobile industry, smart housing, shared economy, and agriculture Provides insights into blockchain-based Internet of Things systems, along with their features, vulnerabilities, and architectural flaws The text is primarily written for graduate students, and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology
Author | : Wil M. P. van der Aalst |
Publisher | : Springer Nature |
Total Pages | : 308 |
Release | : 2021-03-24 |
Genre | : Computers |
ISBN | : 3030712141 |
This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.