by nexgentech | Oct 25, 2017 | ieee project
MINING COMPETITORS FROM LARGE UNSTRUCTURED DATASETS ABSTRACT In any competitive business, success is based on the ability to make an item more appealing to customers than thecompetition. A number of questions arise in the context of this task: how do we formalize...
by nexgentech | Oct 25, 2017 | ieee project
MODELING INFORMATION DIFFUSION OVER SOCIAL NETWORKS FORTEMPORAL DYNAMIC PREDICTION ABSTRACT: How to model the process of information diffusion in socialnetworks is a critical research task. Although numerousattempts have been made for this study, few of them...
by nexgentech | Oct 25, 2017 | ieee project
OUTLIERS DISCOVERY FROM SMART METERS DATA USING ASTATISTICAL BASED DATA MINING APPROACH ABSTRACT The paper presents a statistical approach used fordetection of outliers from load curves recorded on the electricsubstation of distribution networks. The load curves...
by nexgentech | Oct 25, 2017 | ieee project
PERSONAL WEB REVISITATION BY CONTEXT ANDCONTENT KEYWORDS WITH RELEVANCE FEEDBACK ABSTRACT Getting back to previously viewed web pages is a common yet uneasy task for users due to the large volume of personallyaccessed information on the web. This paper leverages...
by nexgentech | Oct 25, 2017 | ieee project
MICROSCOPIC AND MACROSCOPIC SPATIO-TEMPORAL TOPIC MODELS FOR CHECK-IN DATA ABSTRACT Twitter, together with other online social networks, such as Facebook, and Gowalla have begun to collect hundreds ofmillions of check-ins. Check-in data captures the spatial and...
by nexgentech | Oct 25, 2017 | ieee project
INFLUENCE MAXIMIZATION IN TRAJECTORY DATABASES ABSTRACT In this paper, we study a novel problem of influence maximization in trajectory databases that is very useful in preciselocation-aware advertising. It finds k best trajectories to be attached with a given...
