[PDF] Top 20 A Solution for Preventing Fraudulent Financial Reporting using Descriptive Data Mining Techniques
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A Solution for Preventing Fraudulent Financial Reporting using Descriptive Data Mining Techniques
... faces. Financial pressure includes pressure to meet analysts’ earnings estimate which can play an important role in the unlawful activity known as financial statement ...fraud. Financial pressure ... See full document
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A Data Mining Framework for Prevention and Detection of Financial Statement Fraud
... of financial statement fraud is truly global. The cost of financial statement fraud is very high and it cause acute damage to the reputation of the organisation ...prevent fraudulent financial ... See full document
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Fraudulent Financial Statement Detection Using Statistical Techniques: The Case of Small Medium Automotive Enterprise
... in preventing fraud are crucial especially for the SMEs ...and data mining serve as popular tools used by businesses, organizations and ...governments. Data mining techniques ... See full document
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1. Fraudulent financial statements: detection modeling using data mining
... Data mining is a statistical technique to find hidden and interesting pattern from the database or data ...categories: Descriptive data mining technique and Predictive ... See full document
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An Analysis on Finding the Influencing Factors of Preventing the Employment among the Educated Women using Data Mining Techniques
... world. Financial status of the family will ...collecting data in before the factors prevent the employment of educated women’s survey was distributed from face to face contact in and around ...the ... See full document
5
Reviewed Study On Financial Cyber Crimes And Frauds
... of Financial Fraud is one of the key application zones of Data Mining, since data mining strategies are fit for finding the purposes for fraudulent financial ...give ... See full document
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Use of Genetic Algorithm with Fuzzy Class Association Rule Mining for Intrusion Detection
... association-rule mining algorithms, predictable association-rule mining based on GA is able to extract rules with attributes of binary ...rule mining algorithm. Fuzzy Class- association-rule ... See full document
6
Financial Analysis using Data Mining
... - Data mining refers to extracting or mining knowledge from large amounts of ...data. Data mining is used in prediction of various diseases, stock market trends and weather ... See full document
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Does Managerial Ownership, Audit Committee, And Audit Quality Moderate The Effect Of Fraudulent Financial Reporting On Company Value?
... the Financial Services Authority Regulation Number ...The financial statements checked for fairness following applicable accounting standards by external auditors before ...in financial ... See full document
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Using crowdsourced trajectories for automated OSM data entry approach
... attribute data for each segment as this information can be used at a later stage for rule association and pattern recognition ...by using a combination of these ... See full document
19
Application of data mining techniques for outlier mining in medical databases
... detection techniques are essentially model- based techniques; ...the data, and the data instances are evaluated with respect to how well they fit the model ...a data instance to be ... See full document
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Mining Educational Data Using Data Mining Techniques and Algorithms –A Review
... of data mining in educational data mining which has greater impact to improve the students’ academic performance and ...performance. Data mining plays a vital role in the ... See full document
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Comparative Overview of the Advantages and Shortcomings of Popular Data Mining Techniques Used In Weather Prediction
... multidimensional data set, therefore a data mining approach using Frequent Pattern Growth Algorithm for weather prediction was performed by Taksande and ...inappropriate data and the ... See full document
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A Survey on Health Data Using Data Mining Techniques
... sector. Using this technique, a Decision Support System is presented for diagnosing patients with Heart ...built using Naïve Bayes classifier which is based on Bayesian ...collected data from various ... See full document
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Agricultural Data Modeling and Yield Forecasting using Data Mining Techniques
... Akanksha Verma et al. [4] proposed trim forecast framework utilizing fuzzy bunching strategies and neural system. In the proposed approach initially the raw data set is taken and then clustering and classification ... See full document
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Comparison of Data Mining Techniques used for Financial Data Analysis
... the data warehouse about the customers is cleaned and ...the data analysis to score their credit behaviour is ...the data is taken for customers who have repaid the loan immediately or have repaid it ... See full document
5
Review on Financial Forecasting Using Neural Network and Data Mining Technique
... market data are highly time-variant and are normally in a nonlinear pattern, predicting the future trend ...dominant data mining technique used in stock market prediction so far is neural networ k ... See full document
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Financial Reporting Fraud Detection: An Analysis of Data Mining Algorithms
... Research on financial reporting fraud prediction contributes to understanding factors that can be used to predict fraud. Prior research includes testing fraud hypotheses grounded in the earnings management ... See full document
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Preventing Cyber Crimes by Using Data Mining Techniques
... ABSTRACT :-Globally the internet has been accessed by enormous people within their restricted domains. When the client and server exchange messages among each other, there is an activity that can be observed in log files. ... See full document
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A Review on Insider Attack Detection Algorithm Using Data Mining Techniques
... [5] These researchers believe the use of decoy data, files documents can help us to solve the problem of insider attacks. Therefore, they have developed an algorithm that works on the concept of decoys. After ... See full document
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