Big data analytics: a survey
The age of big data is now coming. But the traditional data analytics may not be able to
handle such large quantities of data. The question that arises now is, how to develop a high …
handle such large quantities of data. The question that arises now is, how to develop a high …
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
This paper presents a review of—and classification scheme for—the literature on the
application of data mining techniques for the detection of financial fraud. Although financial …
application of data mining techniques for the detection of financial fraud. Although financial …
Battery monitoring and prognostics optimization techniques: challenges and opportunities
In recent years, many researchers have been conducted on batteries' health monitoring and
prognostics, mainly focusing on the batteries' state of charge (SOC). Accurately estimating …
prognostics, mainly focusing on the batteries' state of charge (SOC). Accurately estimating …
Application of data mining techniques in customer relationship management: A literature review and classification
Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …
Recent trends in prediction of concrete elements behavior using soft computing (2010–2020)
Soft computing (SC), due to its high abilities to solve the complex problems with uncertainty
and multiple parameters, has been widely investigated and used, especially in structural …
and multiple parameters, has been widely investigated and used, especially in structural …
Data mining in manufacturing: a review based on the kind of knowledge
In modern manufacturing environments, vast amounts of data are collected in database
management systems and data warehouses from all involved areas, including product and …
management systems and data warehouses from all involved areas, including product and …
A survey of knowledge discovery and data mining process models
Knowledge Discovery and Data Mining is a very dynamic research and development area
that is reaching maturity. As such, it requires stable and well-defined foundations, which are …
that is reaching maturity. As such, it requires stable and well-defined foundations, which are …
A review of financial accounting fraud detection based on data mining techniques
A Sharma, PK Panigrahi - arxiv preprint arxiv:1309.3944, 2013 - arxiv.org
With an upsurge in financial accounting fraud in the current economic scenario experienced,
financial accounting fraud detection (FAFD) has become an emerging topic of great …
financial accounting fraud detection (FAFD) has become an emerging topic of great …
Predicting corporate financial distress based on integration of decision tree classification and logistic regression
Lately, stock and derivative securities markets continuously and rapidly evolve in the world.
As quick market developments, enterprise operating status will be disclosed periodically on …
As quick market developments, enterprise operating status will be disclosed periodically on …
Using neural networks and data mining techniques for the financial distress prediction model
WS Chen, YK Du - Expert systems with applications, 2009 - Elsevier
The operating status of an enterprise is disclosed periodically in a financial statement. As a
result, investors usually only get information about the financial distress a company may be …
result, investors usually only get information about the financial distress a company may be …