Summary: Data mining, with its objective to efficiently discover valuable and inherent information from large databases, is particularly sensitive to misuse. Therefore an interesting new direction for data mining research is the development of techniques that incorporate privacy concerns and to develop ...
2019; Carvalho and Moniz 2021) has been introduced as a solution to privacy concerns in data mining and has become a prominent area of data mining in the past few decades. PPDM methods should protect the privacy of the data while allowing the data mining process to carry out its duty as ...
The workshop was held in conjunction with the 2002 IEEE International Conference on Data Mining, in Maebashi Terrsa, Maebashi City, Japan, on December 9, 2002 In the light of developments in technology to analyze personal data, public concerns regarding privacy are rising (Nash 1998). Clarke (...
Thematic analysis resulted in the development of taxonomy of privacy concerns which offers a concrete means for online businesses to better understand SNS business landscape – especially with regard to the limits of the use and acceptance of personalised marketing in social networks. 展开 ...
Privacy concernsare needed regarding querying, accessing and, storage and computation of the genomic data. • Privacy issues emerge by untrusted parties while outsourcing, as they reveal information/strategic plans of an individual. • Many privacy-preserving techniques are used with cryptographic meth...
characterizes the period in which central figures in the community, such as O'Leary (1995), Piatetsky-Shapiro (1995), and others (Klsgen, 1995; Clifton & Marks, 1996), investigated the success of knowledge discovery and some of the important areas where it can conflict with privacy concerns...
Data mining can extract important knowledge from large data collections, but sometimes these collections are split among various parties. Data warehousing, bringing data from multiple sources under a single authority, increases risk of privacy violations. Furthermore, privacy concerns may prevent the part...
While Amazon and Apple are also trying to get a foothold in health care, Google has made the biggest strides so far. It has a previous deal with the Mayo Clinic, but in that case, any identifying information has been removed – which is not the case with Project Nightingale....
Despite the potential gain, this is often not possible due to the confidentiality issues which arise, leading to concerns over privacy infringement while performing the data mining operations. The need for privacy is sometimes due to law (e.g., for medical databases) or can be motivated by ...
There are many data collectors (insurance companies, HMOs, public health agencies). Individual privacy concerns limit the willingness of the data custodians to share data, even with government agen...Meaney, M. E. (2001), `Data mining, dataveillance, and medical information privacy', BIOMEDI-...