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Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study
Abstract-P2P SIP (peer to peer session initiation protocol) systems have emerged as a new trend in multimedia realm due to their abilities to overcome the shortcomings of conventional SIP systems. Most of P2P SIP systems were implemented using Chord, a Distributed Hash Table (DHT) based routing algorithm which can provide scalability and reliability. Previous studies on P2P SIP systems did not address node heterogeneity, location information and mobility issues all together. For node heterogeneity, nodes with different capabilities (processing power, storage and bandwidth) should be treated suitably. For location information, the signaling latency is correlated with the distance between end users. This will influence call setup latency greatly. As to mobility, the node churn property will involve additional messages to maintain a stable DHT-based network and increases call setup latency. To conquer these problems, we propose a hierarchical social network-based P2P SIP system. The social network property can increase routing efficiency when calling friends. In addition, the proposed hybrid (structured/ unstructured) overlay is more resilient to cope with node churn. Simulation results show that our approach can improve 32% call setup latency with non-buddies and reduce 63% maintenance cost in comparison with the conventional Chord-based approach. In addition, we improve lookup efficiency from O(logN) to O(1) when making calls with buddies, where N is the number of nodes in a DHT-based network
SPECIAL SECTION ON ADVANCED BIG DATA ANALYSIS FOR VEHICULAR SOCIAL NETWORKS
4570_The Effect and Influence of Government Purchase Service on Promoting Cultural Industry and Building City Brand in A Scientific Way under The Big Data
A Crowdsourcing Method for Sign Segmentation in Brazilian Sign Language Videos
Rule Discovery with a Multi Objective Cultural Algorithm
Facebook: An online environment for learning of English in institutions of higher education?
Towards an Efficient Method for Spreading Information in Social Network
Structural holes in social networks: A remark
Making Warning Messages Personal: A Big 5 Personality Trait Persuasion Approach
Activity Recognition using Multi-Class Classification inside an Educational Building
A Unified Smart Chinese Medicine Framework for Healthcare and Medical Services
Sound collection systems using a crowdsourcing approach to construct sound map based on subjective evaluation
Safe Mathare: A Mobile System for Women's Safe Commutes in the Slums
An Automated Bug Triage Approach: A Concept Profile and Social Network Based Developer Recommendation
Culture and HCI: a review of recent cultural studies in HCI and social networks
Machine Translation Usage in a Children’s Workshop
Emotions and Personality in Agent Design and Modeling
Emotion Recognition from Audio and Visual Data using F-score based Fusion
From Extraneous Noise to Categorizable Signatures: Using Multi-scale Analyses to Assess Implicit Interaction Needs of Older Adults with Visual Impairments
2021 IEEE 20th International Conference on Tru st, Security and Privacy in Computing and Communications (TrustCom) A Fine-grained Privacy-Preserving Profile Matching Scheme in Mobile Social Networks
Socio-Psycho-Linguistic Determined Expert-Search System (SPLDESS) Development with Multimedia Illustration Elements
A Social Media Analytical Framework Incorporating Fuzzy Regression for Affective Design
A Stochastic Mathematical Appointment Overbooking Model for Healthcare Providers to Improve Profits
Flickr group recommendation with auxiliary information in heterogeneous information networks
Social Engine Web Publish i
MobiShare: Flexible privacy-preserving location sharing in mobile online social networks
Predicting User’s Political Party using Ideological Stances
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate
A Bitter Lesson for Data Filtering