Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation
Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but
efficient algorithm with a wide variety of real-world applications, ranging from product …
efficient algorithm with a wide variety of real-world applications, ranging from product …
Automated methods for activity recognition of construction workers and equipment: State-of-the-art review
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …
Performance monitoring of these resources would help project managers improve the …
Data Mining The Text Book
C Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …
complex data types and their applications, capturing the wide diversity of problem domains …
[PDF][PDF] Do we need hundreds of classifiers to solve real world classification problems?
We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural
networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging …
networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging …
A correlation-based feature weighting filter for naive Bayes
Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the
top 10 algorithms in the data mining and machine learning community. Of numerous …
top 10 algorithms in the data mining and machine learning community. Of numerous …
Data mining: practical machine learning tools and techniques with Java implementations
Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Online defect prediction for imbalanced data
Many defect prediction techniques are proposed to improve software reliability. Change
classification predicts defects at the change level, where a change is the modifications to …
classification predicts defects at the change level, where a change is the modifications to …
Transfer learning for cross-company software defect prediction
CONTEXT: Software defect prediction studies usually built models using within-company
data, but very few focused on the prediction models trained with cross-company data. It is …
data, but very few focused on the prediction models trained with cross-company data. It is …
Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining
The occupants' health, comfort, and productivity are important objectives for green building
design and operation. However, occupant behavior also has “passive” impact on the …
design and operation. However, occupant behavior also has “passive” impact on the …
Attribute and instance weighted naive Bayes
Naive Bayes (NB) continues to be one of the top 10 data mining algorithms, but its
conditional independence assumption rarely holds true in real-world applications …
conditional independence assumption rarely holds true in real-world applications …