Titlebook: Business Intelligence; 7th International Co Mohamed Fakir,Mohamed Baslam,Rachid El Ayachi Conference proceedings 2022 Springer Nature Switz

思考而得

污穢

Mining Frequents Itemset and Association Rules in Diabetic Datasetction of association rules by FP-Growth algorithm and its variants using a diabetic dataset, which are the CFP-Growth and ICFP-Growth. Experimental results show that the ICFP-Growth is more accurate than CFP-Growth and FP-Growth.

Longitude

SKIFF

Fatten

1865-1348 , Morocco, during May 26-28, 2022. ..The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization an

Control-Group

Alberto Del Bimbo,Pietro Pala,Enrico Vicariot diseases based on convolutional neural networks using one of the most widely used datasets. The model should be a solution that enables farmers to identify the early blight and late blight diseases present in their potato plants thus they can choose the appropriate treatment.

PET-scan

chronicle

A Convolutional Neural Networks-Based Approach for Potato Disease Classificationt diseases based on convolutional neural networks using one of the most widely used datasets. The model should be a solution that enables farmers to identify the early blight and late blight diseases present in their potato plants thus they can choose the appropriate treatment.

Allergic

Banquet

Optimization Focused on?Parallel Fuzzy Deep Belief Neural Network for?Opinion Mininge data quality and remove noisy data. Then, we have applied a semi-automatic data labeling over the dataset by combining two techniques: Vader lexicon and Mamdani’s fuzzy system. In addition, we have used four extraction techniques, which are: TFIDF (Unigram), TFIDF (Bigram), TFIDF (Trigram) and Glo