Showing 745–756 of 776 results
Truth Discovery in Crowdsourced Detection of Spatial Events Abstract? The ubiquity of smartphones has led to the emergence of mobile crowdsourcing tasks such as the detection of spatial events when smartphone users move around in their daily lives. However, the credibility of those detected events can be negatively impacted by unreliable participants with low-quality data….
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data Abstract? TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections] [numbers_sections number=”2″…
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development Abstract? Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting…
Twitter data analysis by means of Strong FlippingGeneralized Itemsets Abstract?Social Network Services (SNS) like Facebook, Twitter, Sina Weibo etc. are widely used all over the world today. People use them to keep in touch with friends and make new friends online. In China, Sina Weibo is one of the most successful social network service and…
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…
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…
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-Centric Similarity Search Abstract-User preferences play a significant role in market analysis. In the database literature, there has been extensive work on query primitives, such as the well known top- k query that can be used for the ranking of products based on the preferences customers have expressed. Still, the fundamental operation that evaluates the…
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…
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