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Found 8 papers, 0 papers with code
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters.
Emotion detection of social data: APIs comparative study
Lastly, the assessment of these APIs incorporating the evaluation measures is reported and discussed.
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions.
Domain-specific Knowledge Graphs: A survey
This survey is the first to offer a comprehensive definition of a domain-specific KG.
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
This paper presents a novel credibility domain-based KG Embedding framework.
An Approach for Time-aware Domain-based Social Influence Prediction
One of the main reasons for acquiring the value of Social Big Data (SBD) is to provide frameworks and methodologies using which the credibility of OSNs users can be evaluated.
Toward a Knowledge-based Personalised Recommender System for Mobile App Development
Over the last few years, the arena of mobile application development has expanded considerably beyond the balance of the world\'s software markets.
Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions
The wealth of Social Big Data (SBD) represents a unique opportunity for organisations to obtain the excessive use of such data abundance to increase their revenues.
