A5075727970- Recommender Systems and Techniques
- Network Security and Intrusion Detection
- COVID-19 diagnosis using AI
- Graph Theory and Algorithms
- Imbalanced Data Classification Techniques
- Advanced Graph Neural Networks
- Advanced Database Systems and Queries
- Data Mining Algorithms and Applications
- Digital Marketing and Social Media
- Artificial Intelligence in Healthcare
- Financial Distress and Bankruptcy Prediction
- Data Quality and Management
- Metaheuristic Optimization Algorithms Research
- Caching and Content Delivery
- Big Data Technologies and Applications
- Educational Technology and Assessment
- Advanced Neural Network Applications
- Evolutionary Algorithms and Applications
- Consumer Market Behavior and Pricing
- ECG Monitoring and Analysis
- Brain Tumor Detection and Classification
Ganpat University
2011-2024
Hemchandracharya North Gujarat University
2011
We propose a unique and hybrid approach containing data mining techniques, artificial intelligence statistics in single platform for fraud detection of online financial transaction, which combines evidences from current as well past behavior.The proposed transaction risk generation model (TRSGM) consists five major components, namely, DBSCAN algorithm, Linear equation, Rules, Data Warehouse Bayes theorem.DBSCAN algorithm is used to form the clusters amounts customer, find out deviation new...
Graph database is revealed as alternative of traditional relation for the reason that graph flexible and self-explaining structure, which can cope with any kind complex structure. Recently, extensively used to represent specially multi linked data web, RDF data, social network, chemical gene, network publication links, many more. This research illustrates potential use recommendation system along its convenience develop hybrid system. Here, property model demonstrated solution...
Graph is considered as next frontier in the era of Big data due to its flexibility and self-explaining property. The prime objective this research reveal graph database an alternative traditional relation field database. This illustrates potential structure for diversified modeling along with convenience various domains. Extensive literature review demonstrates use structures means storage analysis it can cope up any kind complex ranging from multi linked web data, chemical structure, gene...
The emergence of personalization in new generation e-commerce and power shift towards consumers enforces incorporation recommendation system. To implement that, an innovative user web-interactions models novel strategy will be demand. This research work looks for approach on-line mobile trades, which integrate knowledge expert with product specifications to develop hybrid personalized recommendations uniqueness this includes advanced user-web interaction strategies, need based selections...