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A Survey Of Methodaology Of Fraud Detection Using Data Mining by K Leena Kurien %3b Dr. Ajeet Chikkamannur

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1A Survey Of Methodaology Of Fraud Detection Using Data Mining

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While many financiers use the Internet and social media to help them with investment decisions, these online tools can provide many benefits for investors and at the same time, same tools can make smart objectives for lawbreakers. These offenders are quick to adapt to new technologies - and Social media is no exception. Social media, such as Facebook, YouTube, Twitter, and LinkedIn, have become key tools for investors worldwide. Whether they are seeking study on particular stocks, background information on a broker-dealer or investment consultant, guidance on an overall investment strategy, up to date news or to simply want to discuss the markets with others, investors turn to social media. Social media also offers a number of features that criminals may find attractive. Fraudsters can use social media in their efforts to appear legitimate, to hide behind anonymity, and to reach many people at low cost. K Leena Kurien | Dr. Ajeet Chikkamannur"A Survey of Methodaology of Fraud Detection Using Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2482.pdf Article URL: http://www.ijtsrd.com/computer-science/data-miining/2482/a-survey-of-methodaology-of-fraud-detection-using-data-mining/k-leena-kurien

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Metadata:

  • Title: ➤  A Survey Of Methodaology Of Fraud Detection Using Data Mining
  • Author: ➤  
  • Language: English

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Subjects and Themes:

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The book is available for download in "texts" format, the size of the file-s is: 11.91 Mbs, the file-s for this book were downloaded 167 times, the file-s went public at Tue Sep 04 2018.

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2A Survey Of Methodaology Of Fraud Detection Using Data Mining

While many financiers use the Internet and social media to help them with investment decisions, these online tools can provide many benefits for investors and at the same time, same tools can make smart objectives for lawbreakers. These offenders are quick to adapt to new technologies '“ and Social media is no exception. Social media, such as Facebook, YouTube, Twitter, and LinkedIn, have become key tools for investors worldwide. Whether they are seeking study on particular stocks, background information on a broker-dealer or investment consultant, guidance on an overall investment strategy, up to date news or to simply want to discuss the markets with others, investors turn to social media. Social media also offers a number of features that criminals may find attractive. Fraudsters can use social media in their efforts to appear legitimate, to hide behind anonymity, and to reach many people at low cost. K Leena Kurien | Dr. Ajeet Chikkamannur"A Survey of Methodaology of Fraud Detection Using Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2482.pdf  http://www.ijtsrd.com/computer-science/data-miining/2482/a-survey-of-methodaology-of-fraud-detection-using-data-mining/k-leena-kurien

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Metadata:

  • Title: ➤  A Survey Of Methodaology Of Fraud Detection Using Data Mining
  • Language: English

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 11.91 Mbs, the file-s for this book were downloaded 119 times, the file-s went public at Fri Jul 27 2018.

Available formats:
Abbyy GZ - Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - Scandata - Single Page Processed JP2 ZIP - Text PDF -

Related Links:

Online Marketplaces

Find A Survey Of Methodaology Of Fraud Detection Using Data Mining at online marketplaces:


3A Survey Of Methodaology Of Fraud Detection Using Data Mining

By

While many financiers use the Internet and social media to help them with investment decisions, these online tools can provide many benefits for investors and at the same time, same tools can make smart objectives for lawbreakers. These offenders are quick to adapt to new technologies - and Social media is no exception. Social media, such as Facebook, YouTube, Twitter, and LinkedIn, have become key tools for investors worldwide. Whether they are seeking study on particular stocks, background information on a broker-dealer or investment consultant, guidance on an overall investment strategy, up to date news or to simply want to discuss the markets with others, investors turn to social media. Social media also offers a number of features that criminals may find attractive. Fraudsters can use social media in their efforts to appear legitimate, to hide behind anonymity, and to reach many people at low cost. K Leena Kurien | Dr. Ajeet Chikkamannur"A Survey of Methodaology of Fraud Detection Using Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2482.pdf Article URL: http://www.ijtsrd.com/computer-science/data-miining/2482/a-survey-of-methodaology-of-fraud-detection-using-data-mining/k-leena-kurien

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Metadata:

  • Title: ➤  A Survey Of Methodaology Of Fraud Detection Using Data Mining
  • Author: ➤  
  • Language: English

“A Survey Of Methodaology Of Fraud Detection Using Data Mining” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 11.91 Mbs, the file-s for this book were downloaded 75 times, the file-s went public at Tue Jul 17 2018.

Available formats:
Abbyy GZ - Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - Scandata - Single Page Processed JP2 ZIP - Text PDF -

Related Links:

Online Marketplaces

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