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A financial statement fraud model based on synthesized attribute selection and a dataset with missing values and imbalanced classes
CH Cheng, YF Kao, HP Lin - Applied Soft Computing, 2021 - Elsevier
Many financial fraud events have occurred over the past few decades. These events have
led to massive losses for investors. Hence, government officials have begun to focus on the …
led to massive losses for investors. Hence, government officials have begun to focus on the …
Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets
Large scale visual surveillance generates huge volumes of data at a rapid pace, giving rise
to massive image repositories. Efficient and reliable access to relevant data in these ever …
to massive image repositories. Efficient and reliable access to relevant data in these ever …
[HTML][HTML] An integral model to provide reactive and proactive services in an academic CSIRT based on business intelligence
Cyber-attacks have increased in severity and complexity. That requires, that the
CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the …
CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the …
[BOK][B] A complete guide to wireless sensor networks: from inception to current trends
This book provides comprehensive coverage of the major aspects in designing,
implementing, and deploying wireless sensor networks by discussing present research on …
implementing, and deploying wireless sensor networks by discussing present research on …
Improved feature selection and classification for rheumatoid arthritis disease using weighted decision tree approach (REACT)
Rheumatoid arthritis (RA) is a major chronic autoimmune disorder which affects multiple
organs and joints of human body. Disease varies in its behavior and concern such that an …
organs and joints of human body. Disease varies in its behavior and concern such that an …
Computational Intelligence in Big Data Analytics
Traditional analytical methodologies are insufficient for processing and extracting insights
from huge datasets due to the exponential expansion of data across all domains. Due to the …
from huge datasets due to the exponential expansion of data across all domains. Due to the …
General architectural framework for business visual analytics
Y Dankov, D Birov - Business Modeling and Software Design: 8th …, 2018 - Springer
An incredible amount of data has constantly been generated. There is a gap between the
abundance of data and the needs of users. At the same time a particular user needs not only …
abundance of data and the needs of users. At the same time a particular user needs not only …
An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shop** …
Challenge of an early prediction of customer churn is a major demand among research
community. To understand an intention of a customer on reasons to make a churn as well …
community. To understand an intention of a customer on reasons to make a churn as well …
Development of Early Warning Systems in Croatian Companies
Sažetak The challenge to predict the direction of market requirements is an increasingly
pronounced challenge of today's management structures, ie, how to make timely decisions …
pronounced challenge of today's management structures, ie, how to make timely decisions …
Penerapan Business Intelligence Untuk Menganalisis Tren Kunjungan Wisatawan Mancanegara Di Indonesia
Pariwisata memiliki kontribusi yang sangat signifikan dalam hal penerimaan devisa negara.
Indonesia menjadi salah satu pilihan utama untuk dikunjungi ole wisatawan mancanegara …
Indonesia menjadi salah satu pilihan utama untuk dikunjungi ole wisatawan mancanegara …