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Descriptive data mining on fraudulent online dating profiles

Models in Data Mining,Descriptive data mining on fraudulent online dating profiles

 · Request PDF | Descriptive Data Mining on Fraudulent Online Dating Profiles. | The increasing ease of access to the World Wide Web and email harvesting tools has enabled We focus on scams that utilise the medium of dating websites. The primary indicators of Romance Fraud identified in the literature include social factors, scam characteristics and  · DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan, Jinjian A., The University of New South Wales, School of Information Systems This paper aims to analyse and examine the structure of Romance Fraud, in a bid to understand and detect Romance Fraud profiles and focuses on scams that utilise the medium of dating Corpus ID: Descriptive Data Mining on Fraudulent Online Dating Profiles @inproceedings{PanDescriptiveDM, title={Descriptive Data Mining on Fraudulent ... read more

We focus on scams that utilise the medium of dating websites. The primary indicators of Romance Fraud identified in the literature include social factors, scam characteristics and content.

The approach followed is informed by interpretivist and quantitative research perspectives. From this understanding, Romance Fraud can be viewed as a methodical attempt by scammers to penetrate their victims' defences by impersonating someone else or creating an avatar fictitious identity.

A quantitative approach was undertaken in order to extract reflective, informative and rich data Neuman The research methodology incorporating Knowledge Discovery from an existing proprietary online dating database was adopted to provide the foundation for this research Piatetsky- Shapiro Descriptive data mining on fraudulent online dating profiles.

N2 - The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. AB - The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. Overview Fingerprint. Abstract The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience.

Keywords Identity fraud Identity theft and identity deception Information systems security ISS Romance scams in online dating. Link to publication in Scopus. Fingerprint Dive into the research topics of 'Descriptive data mining on fraudulent online dating profiles'. Together they form a unique fingerprint. Pan, Jinjian; Winchester, Donald; Land, Lesley; and Watters, Paul, "Descriptive Data Mining on Fraudulent Online Dating Profiles" ECIS Proceedings. Advanced Search.

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Title Descriptive Data Mining on Fraudulent Online Dating Profiles. Authors Jinjian Pan , University of New South Wales Follow Donald Winchester , University of New South Wales Follow Lesley Land , The University of New South Wales Follow Paul Watters , University of Ballarat Follow.

Abstract The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. Recommended Citation Pan, Jinjian; Winchester, Donald; Land, Lesley; and Watters, Paul, "Descriptive Data Mining on Fraudulent Online Dating Profiles" This document is currently not available here. DOWNLOADS Since April 07,

Jinjian A. The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. The problem is where scams are widely encountered in day to day environment to individuals from all walks of life and result in millions of dollars in financial loss as well as emotional trauma Newman This paper aims to analyse and examine the structure of Romance Fraud, in a bid to understand and detect Romance Fraud profiles.

We focus on scams that utilise the medium of dating websites. The primary indicators of Romance Fraud identified in the literature include social factors, scam characteristics and content. The approach followed is informed by interpretivist and quantitative research perspectives.

From this understanding, Romance Fraud can be viewed as a methodical attempt by scammers to penetrate their victims' defences by impersonating someone else or creating an avatar fictitious identity. A quantitative approach was undertaken in order to extract reflective, informative and rich data Neuman The research methodology incorporating Knowledge Discovery from an existing proprietary online dating database was adopted to provide the foundation for this research Piatetsky- Shapiro Descriptive data mining on fraudulent online dating profiles.

N2 - The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. AB - The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience.

Overview Fingerprint. Abstract The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience.

Keywords Identity fraud Identity theft and identity deception Information systems security ISS Romance scams in online dating. Link to publication in Scopus. Fingerprint Dive into the research topics of 'Descriptive data mining on fraudulent online dating profiles'. Together they form a unique fingerprint.

View full fingerprint. Cite this APA Author BIBTEX Harvard Standard RIS Vancouver Pan, J. In 18th European Conference on Information Systems, ECIS [] AIS Electronic Library AISeL. Pan, Jinjian A. AIS Electronic Library AISeL , in 18th European Conference on Information Systems, ECIS TY - GEN T1 - Descriptive data mining on fraudulent online dating profiles AU - Pan, Jinjian A. AU - Winchester, Donald AU - Land, Lesley AU - Watters, Paul PY - Y1 - N2 - The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience.

Pan JA, Winchester D, Land L , Watters P. In 18th European Conference on Information Systems, ECIS AIS Electronic Library AISeL.

,DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES

Romance scams are riskiest to people in the 55 – 64 age group. (BBB Scam Tracker Risk Report) Older adults reportedly lost nearly $ million in romance scams in , followed by prizes, sweepstakes, and lottery scams at $69 million. (FTC - Protecting Older Consumers Report) In , 68% of the dollars reported lost on The mining model is more than the algorithm or metadata handler. It is a set of data, patterns, statistics that can be serviceable on new data that is being sourced to generate the predictions and get some inference about the relationships. The following are some of the techniques that are used in data mining. 1. Descriptive Data Mining Technique  · Descriptive Data Mining Predictive Data Mining; 1. Basic: It determines, what happened in the past by analyzing stored data. It determines, what can happen in the future with the help past data analysis. 2. Preciseness: It provides accurate data. It produces results does not ensure accuracy. 3. Practical analysis methods: Standard reporting, query/drill down and  · DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan, Jinjian A., The University of New South Wales, School of Information Systems The problem is where scams are widely encountered in day to day environment to individuals from all walks of life and result in millions of dollars in financial loss as well as emotional trauma (Newman ). This paper aims to analyse and examine the structure of Romance Fraud, in a bid to understand and detect Romance Fraud profiles. We focus on scams that utilise the  · Abstract. This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological ... read more

Descriptive data mining on fraudulent online dating profiles. ECIS Proceedings. Citation Format HTML Citation Plain Text Citation Rich Text Format MS Word Citation EndNote Format. TY - CONF T1 - Descriptive data mining on fraudulent online dating profiles AU - Pan, Jinjian A. AIS Electronic Library AISeL ,

Link to publication in Scopus, descriptive data mining on fraudulent online dating profiles. The primary indicators of Romance Fraud identified in the literature include social factors, scam characteristics and content. Link to publication in Scopus. Abstract The increasing ease of access to the World Wide Web and email harvesting tools has enabled spammers to target a wider audience. Keywords Identity fraud Identity theft and identity deception Information systems security ISS Romance scams in online dating. Fingerprint Dive into the research topics of 'Descriptive data mining on fraudulent online dating profiles'.

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