Typicality-Based Collaborative Filtering Recommendation Abstract? Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy, and big-error in predictions. We borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A…
U-Skyline: A New Skyline Query for Uncertain Databases Abstract? U-Skyline: A New Skyline Query for Uncertain Databases.U-Skyline: A New Skyline Query for Uncertain Databases The skyline query, aiming at identifying a set of skyline tuples that are not dominated by any other tuple, is particularly useful for multicriteria data analysis and decision making. For uncertain…
Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services Abstract?Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services.The rapid development of Internet of things (IoT) technology makes it possible for connecting various smart objects together through the Internet and providing more data interoperability methods for application purpose. Recent research…
ubiSOAP A Service Oriented Middleware for Ubiquitous Networking. Abstract? The computing and networking capacities of today’s wireless portable devices allow for ubiquitous services, which are seamlessly networked. Indeed, wireless handheld devices now embed the necessary resources to act as both service clients and providers.< Final Year Projects > However, the ubiquitous networking of services remains…
Uncertain Data Clustering in Distributed Peer-to-Peer Networks Abstract-In general, Uncertain data clustering has been recognized as an essential task in the research of data mining. Many centralized clustering algorithms are extended by defining new distance or similarity measurements to tackle this issue. With the fast development of network applications, these centralized methods show their limitations…
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR) Abstract? Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). Features selected by a supervised / unsupervised technique often include redundant or correlated features. While use of correlated features may result in an increase in the design and decision making cost, removing redundancy completely can make the system vulnerable to…
Unsupervised traffic classification using flow statistical properties and IP packet payload. The researchers have started looking for Internet traffic recognition techniques that are independent of `well known’ TCP or UDP port numbers or interpreting the contents of packet payloads. Newer approaches classify traffic by recognizing statistical patterns in externally observable attributes of the traffic (such…
User Differentiated Verifiable File Search on the Cloud Abstract?Cloud storage security has been gaining research interest in recent years. Although considerable work has been conducted on verifying the integrity of the outsourced data in the cloud. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides…
User Vitality Ranking and Prediction in Social Networking Services: a Dynamic Network Perspective Abstract– Social networking services have been prevalent at many online communities such as Twitter.com and Weibo.com, where millions of users keep interacting with each other every day. One interesting and important problem in the social networking services is to rank users based…
User-Service Rating Prediction by Exploring Social Users? Rating Behaviors Abstract? the boom of social media, it is a very popular trend for people to share what they are doing with friends across various social networking platforms. Nowadays, we have a vast amount of descriptions, comments, and ratings for local services. The information is valuable for…
Using Crowdsourced Data in Location-based Social Networks to Explore Influence Maximization Abstract?Online social networks have gained significant popularity recently. The Location-Based Social Networks (LBSNs) are a special kind of online social networks in which people can share location-embedded information. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation…
Using Crowdsourcing to Provide QoS for Mobile Cloud Computing Abstract?Using Crowdsourcing to Provide QoS for Mobile Cloud Computing.Quality of cloud service QoS < Final Year Projects 2016 > is one of the crucial factors for the success of cloud providers in mobile cloud computing. Context-awareness is a popular method for automatic awareness of the mobile…
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