loading
Detection of fraudulent financial statements based on Naïve Bayes classifier
2010 Edition, August 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Auditing practices nowadays have to cope with an increasing number of fraudulent financial statements. Data mining techniques can facilitate auditors in accomplishing the task of detection of fraudulent financial statements (FFS)...

Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance
2014 Edition, December 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In recent years, data mining techniques have been used to identify companies who issue fraudulent financial statements. However, most of the research conducted thus far use datasets that are balanced. This does not always represent reality, especially in fraud...

Credit card fraud detection using machine learning techniques: A comparative analysis
2017 Edition, October 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Financial fraud is an ever growing menace with far consequences in the financial industry. Data mining had played an imperative role in the detection of credit card fraud in online transactions. Credit card fraud detection, which is a data mining problem, becomes...

Detecting Fraudulent Financial Data Using Multicriteria Decision Aid Method
2016 Edition, July 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The fraudulent financial statement of a company is becoming serious over the last few years, so, finding a valid forecasting fraudulent financial statement model is an urgent work for academic research and financial practice. The UTilities...

Spam mail detection through data mining techniques
2017 Edition, December 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In todays electronic world a huge part of communication, both professional and private, takes place in the form of electronic mails or emails. However, due to advertising agencies and social networking websites most of the emails circulated contain unwanted information which is...

Fake Colorized Image Detection
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Image forensics aims to detect the manipulation of digital images. Currently, splicing detection, copy-move detection and image retouching detection are attracting significant attentions from researchers. However, image editing techniques develop over time. An emerging...

Knowledge Reused Outlier Detection
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Tremendous efforts have been invested in the unsupervised outlier detection research, which is conducted on unlabelled data set with abnormality assumptions. With abundant related labeled data available as auxiliary information, we consider to transfer the knowledge from the labelled...

Zero Shot Detection
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

As we move towards large-scale object detection, it is unrealistic to expect annotated training data, in the form of bounding box annotations around objects, for all object classes at sufficient scale, and so methods capable of unseen object detection are required. We...

Blind Detection with Polar Codes
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In blind detection, a set of candidates has to be decoded within a strict time constraint, to identify which transmissions are directed at the user equipment. We propose a blind detection scheme based on polar codes, where the radio network temporary identifier...

Community Detection by Fuzzy Relations
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The increasing demand for knowledge from network data poses significant challenges in many tasks. Discovering community structure from a network is one of the classic and significant problems faced in network analysis. In this paper, we study the network structure from the perspective...

Advertisement