International Journal of Business Intelligence and Data Mining
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1743-8195, 1743-8187
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Fraud Detection with Machine Learning - Model Comparison

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Guilherme Ferreira Pelucio Salome ◽  
Jo�ão Luiz Chela ◽  
Jo�ão Carlos Pacheco Junior
Keyword(s):  
Machine Learning ◽  
Model Comparison ◽  
Fraud Detection ◽  
Learning Model ◽  
Machine Learning Model

Mining Models for Predicting Product Quality Properties of Petroleum Products

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Douglas Kunda ◽  
NG`AMBILANI ZULU
Keyword(s):  
Product Quality ◽  
Petroleum Products ◽  
Quality Properties

CONTEXT-AWARE AUTOMATED QUALITY ASSESSMENT OF TEXTUAL DATA

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Goutam Mylavarapu ◽  
K. Ashwin Viswanathan ◽  
Johnson P. Thomas
Keyword(s):  
Quality Assessment ◽  
Context Aware ◽  
Textual Data

Customer Segmentation Using Various Machine Learning Techniques

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
SAMYUKTHA PALANGAD OTHAYOTH ◽  
Raja Muthalagu
Keyword(s):  
Machine Learning ◽  
Customer Segmentation ◽  
Machine Learning Techniques ◽  
Learning Techniques

Apriori-Roaring: Frequent Pattern Mining Method Based on Compressed Bitmaps

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Aleardo Junior Manacero ◽  
Renata Spolon Lobato ◽  
Marcos Antônio Cavenaghi ◽  
Alexandre Colombo ◽  
Roberta Spolon
Keyword(s):  
Pattern Mining ◽  
Frequent Pattern Mining ◽  
Frequent Pattern ◽  
Mining Method

Supervised and Unsupervised learning for characterizing the industrial material defects

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
J. Raja Sekar ◽  
N. Selvakumar ◽  
P. Radha ◽  
J.V. Johnsonselva
Keyword(s):  
Unsupervised Learning ◽  
Material Defects ◽  
Supervised And Unsupervised Learning ◽  
Industrial Material

Using unstructured logs generated in complex large scale micro-service-based architecture for data analysis

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Anukampa Behera ◽  
Sitesh Behera ◽  
Chhabi Rani Panigrahi ◽  
Tien Hsiung Weng
Keyword(s):  
Data Analysis ◽  
Large Scale

Optimizing the number of course sections given optimal course sequence to support student retention

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Seung Kuk Paik ◽  
Akash Gupta ◽  
Amir Gharehgozli
Keyword(s):  
Student Retention ◽  
Course Sequence
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