Tehnologii Web de e-Business

	List of Projects
	Informatii mod de desfasurare lab TWEB
Lab Resources
	Business process optimization using Harris hawks optimization
	Business process optimization using Salp Swarm Algorithm
	Business process optimization using Manta Ray Foraging Optimization
	Business process optimization using Slime mould algorithm
	Business process optimization using Firefly Algorithm
	Business process optimization using Whale Optimization Algorithm
	Business process optimization using Cuckoo Search
	Discovering Social Networks from event logs (i.e. event logs collected during the execution of business processes)
	Matching Algorithms for similarity evaluation between business processes
	Anomaly detection in business processes using association rule learning
	Anomaly detection in business processes using Bayesian networks
	Discovering business process models using Cuckoo Search
	Discovery business process using Harris hawks optimization
	Discovery business process using Artificial immune systems
	Discovery business process using PSO
	Discovering business process models using Squirrel search optimization
	Discovering business process models using Flower Pollinationn
	Discovering business process models using Honeybee Mating Optimization Algorithm
	Discovering business process models using Ants Intelligence
	Discovering business process models using Slime mould algorithm
	Discovering business process models using Firefly Algorithm
	Discovering business process models using Emperor Penguin Optimizer
	Discovering business process models using Grasshopper Optimization Algorithm
	Process mining based on Affinity propagation clustering algorithm and Heuristic miner
	Developing a computational intelligence technique for self-reconfiguring manufacturing processes according to the execution context (Tema poate fi aleasa de mai multi studenti cu conditia sa foloseasca tehnici diferite)
	Planning algorithm for runtime adaptation of business processes
	Neural network-based approach for defect identification and classification in manufacturing process (Tema poate fi aleasa de mai multi studenti cu conditia sa foloseasca tehnici de machine learning diferite)
Lecture
	Lecture 1