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 …

Object-oriented convolutional features for fine-grained image retrieval in large surveillance datasets

J Ahmad, K Muhammad, S Bakshi, SW Baik - Future Generation Computer …, 2018 - Elsevier
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 …

[HTML][HTML] An integral model to provide reactive and proactive services in an academic CSIRT based on business intelligence

W Fuertes, F Reyes, P Valladares, F Tapia… - Systems, 2017 - mdpi.com
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 …

[BOK][B] A complete guide to wireless sensor networks: from inception to current trends

A Dumka, SK Chaurasiya, A Biswas, HL Mandoria - 2019 - taylorfrancis.com
This book provides comprehensive coverage of the major aspects in designing,
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)

S Shanmugam, J Preethi - The Journal of Supercomputing, 2019 - Springer
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 …

Computational Intelligence in Big Data Analytics

KT Igulu, DD Wisdom, MO Arowolo… - … Intelligence in Industry …, 2023 - taylorfrancis.com
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 …

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 …

An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shop** …

R Manivannan, R Saminathan, S Saravanan - Evolutionary Intelligence, 2021 - Springer
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 …

Development of Early Warning Systems in Croatian Companies

J Kereta, M Plećaš, J Gogolja - Zagreb international review of …, 2023 - hrcak.srce.hr
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 …

Penerapan Business Intelligence Untuk Menganalisis Tren Kunjungan Wisatawan Mancanegara Di Indonesia

S Herawati, N Prastiti, M Latif - 2018 - unisbank.ac.id
Pariwisata memiliki kontribusi yang sangat signifikan dalam hal penerimaan devisa negara.
Indonesia menjadi salah satu pilihan utama untuk dikunjungi ole wisatawan mancanegara …