Last edited by Meztijas
Wednesday, May 13, 2020 | History

7 edition of Social implications of data mining and information privacy found in the catalog.

Social implications of data mining and information privacy

interdisciplinary frameworks and solutions

  • 141 Want to read
  • 4 Currently reading

Published by Information Science Reference in Hershey PA .
Written in English

    Subjects:
  • Data mining -- Social aspects,
  • Information technology -- Social aspects,
  • Data protection

  • Edition Notes

    Includes bibliographical references and index.

    StatementEphrem Eyob, editor.
    ContributionsEyob, Ephrem, 1954-
    Classifications
    LC ClassificationsQA76.9.D343 S64 2009
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL16975918M
    ISBN 109781605661964, 9781605661971
    LC Control Number2008030773

      In data mining, the privacy and legal issues that may result are the main keys to the growing conflicts. The ways in which data mining can be used is raising questions regarding privacy. Every year the government and corporate entities gather enormous amounts of information about customers, storing it in data of the concern is that once data is collected and stored in a data. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book .

    Social and ethical issues have been identified as pertinent to data mining (Kantarcioglu et al., ) and there is a growing concern regarding the (ab)use of sensitive information (Clarke, ; Clifton File Size: KB.   Why Big Data Security Issues are Surfacing. Big data is nothing new to large organizations, however, it’s also becoming popular among smaller and medium sized firms due to cost reduction and provided ease to manage data. Cloud-based storage has facilitated data mining and collection. However, this big data .

      Among the issues they addressed were the ineffectiveness of the practice, government use of information gained through data mining, and ways data had been used for intelligence and .   A New York Times article earlier this year about a data-mining company prompted the two co-chairs of the scale aggregation of the personal information of hundreds of millions of American citizens raises a number of serious privacy concerns.” Information is currency, but we tend to forget that. The explosion of social .


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Social implications of data mining and information privacy Download PDF EPUB FB2

Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors.

An immense breakthrough, this essential reference provides concise coverage of emerging issues and technological solutions in data mining.

Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors.

An immense breakthrough, this essential reference provides concise coverage of emerging issues and technological solutions in data mining Cited by: 7. Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining.

Hello Select your address Best SellersFormat: Hardcover. We’re listening — tell us what you think. Something didn’t work Report bugs here. All feedback is valuable.

Please share your general feedback. Member of Emerald’s Library Advisory. Review of Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions. Edited by Ephrem Eyob. (Hershey, PA: ICI Global, ). The sharing of data is beneficial in data mining applications and widely acknowledged as advantageous in business.

However, information sharing can become controversial and thwarted by privacy regulations and other privacy concerns. Rather than simply hindering data owners from sharing information Author: Stanley R.M. Oliveira, Osmar R. Zaïane. This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites (SNS) users.

The social aspect of data mining privacy considering that different groups have different standards on social The legal an political aspects including controls on the web and servers, the consequences of violating privacy policies and transfer of information.

Social implications of data mining and information privacy: interdisciplinary frameworks and solutions. [Ephrem Eyob;] -- "This book serves as a critical source to emerging issues and solutions in data mining and the influence of social factors.

The development of data mining is presenting sig-nificant ethical and social issues that must be ad-dressed if the new technology is to widely accepted. This paper explores a range of these issues identifying in particular: privacy, data File Size: KB.

In this paper, we view the privacy issues related to data mining from a wider perspective and investigate various approaches that can help to protect sensitive information. In particular, we identify four different types of users involved in data mining applications, namely, data provider, data collector, data Cited by: data mining issues.

It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks.

Until now, no single book. This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites (SNS) users.

It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their by:   Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining Price: $ As data mining is one of the most rapidly changing disciplines with new technologies and concepts continually under development, academicians, researchers, and professionals of the discipline need access to the most current information about the concepts, issues, trends, and technologies in this emerging field.""Social Implications of Data.

Experts discuss how data mining can help organizations effectively measure impact and optimize their work. Ephrem Eyob is the author of Social Implications of Data Mining and Information Privacy ( avg rating, 1 rating, 0 reviews, published ), Customer- /5(2). Download Now for Free PDF Ebook social implications of data mining and information privacy interdisciplinary frameworks solution at our Online Ebook Library.

Get social implications of data mining and information privacy File Size: 94KB. One of the key issues raised by data mining technology is not a business or technological one, but a social one. It is the issue of individual privacy. Data mining makes it possible to analyze routine business transactions and glean a significant amount of information File Size: KB.

Social media and big data have combined to create a novel field of study called social media mining, which is similar to data mining, but confined to the world of Twitter, Facebook, Instagram, and the like. Data preparation is more than half of every data mining process: Analytics isn’t always pretty.

Most of the time and effort goes into the dirty work of cleaning data and getting it in shape for.Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.

Data mining .