Titlebook: Applications of Computing and Communication Technologies; First International Ganesh Chandra Deka,Omprakash Kaiwartya,Priyanka R Conferenc

Halfhearted

Acquiring the Resources for Simulation, know their customers and to predict their brand awareness. The pattern was recognized by analyzing the tweets fetched in real time environment and by examining the most popular hashtags on the twitter platform in past few seconds. The work was implemented using a big data technology ‘Spark Streamin

危機(jī)

Acquiring the Resources for Simulation,y been carried out on community detection, though most of the work done in this field is on non-overlapping communities. But in real networks, some nodes may belong to more than one community, so overlapping community detection needs more attention. The most popular technique for detecting overlappi

惡心

小爭(zhēng)吵

David Flynn,James Myers,Seng Toh a big challenge. The two techniques, word frequency count and string matching, are applied on a single node and multi node cluster with an input data set. The results are analyzed and compared by varying MapReduce configuration of both. In this paper we have tested that for a MapReduce job how chan

致敬

Alienated

Nikhil Vadgama,Jiahua Xu,Paolo Tascae of interfering nodes due to more re-transmissions required for a successful transmission. In this paper, energy consumption model has been presented. Mathematical models for Rayleigh interference have been derived. Energy efficient algorithm for interference minimization has been investigated. The

賞心悅目

Alastair Moore,Niall Roche,Nikhil Vadgamaalternative products or services. Recent research focus has been on developing methods for generating recommendations. We note lack of coherent research in the field of visual depictions of recommendations as well as how visualization and interactivity can aid users in use and decision-making with r

音樂戲劇

Theodosis Mourouzis,Nikolas Markouorative algorithm, an item based collaborative filtering system was introduced. In this paper, an improved recommender system is proposed. A dictionary of sentiment scores is created. These sentiment scores are calculated by finding the probability of the reviews to be positive. This sentiment score

不可知論

Nikhil Vadgama,Jiahua Xu,Paolo Tascas, makes it rich source of data for sentiment and emotion analysis. This paper analyses the various emotions expressed by twitter users and finds the most and least expressed emotion on twitter using sentiment analysis. Because of the recent trend of using hashtags with tweets, task of extracting tw

讓步

https://doi.org/10.1007/978-3-030-78184-2 data. In addition, data leakages made by authorized insiders to unauthorized services should be detected and reported back to the data owner. In this paper, we propose a solution that uses role- and attribute-based access control for data exchange among services, including services hosted by untrus