Privacy Issues In Knowledge Discovery And Data Mining
On the other side individual privacy is at risk as the mobility data contain sensitive personal information. Data mining popularly known as knowledge discovery in databases kdd it is the nontrivial extraction of implicit previously unknown and potentially useful information from data in databases.
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It can involve methods for data preparation cleaning and selection use of appropriate prior knowledge development and application of data mining algorithms and proper results analysis.
Privacy issues in knowledge discovery and data mining. The appearance of technology for knowledge discovery and data mining kddm has revitalized concern about the following general privacy issues. This is a scenario of great opportunities and risks. Though data mining and knowledge.
In data mining the privacy and legal issues that may result are the main keys to the growing conflicts. This information is undoubtedly very useful in many areas including. Secondary use of the personal information handling misinformation and granulated access to personal information.
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 data. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information with intelligent methods from a data set and transform the information into a comprehensible structure for further use. Secondary use of the personal information handling misinformation and granulated access to personal information.
On one side mining this data can produce useful knowledge supporting sustainable mobility and intelligent transportation systems. The appearance of technology for knowledge discovery and data mining kddm has revitalized concern about the following general privacy issues. Knowledge discovery and data mining its underlying goal is to help humans make high level sense of large volumes of low level data and share that knowledge with colleagues in related fields.
Privacy issues in knowledge discovery and data mining ljiljana brankovic 1 and vladimir estivill castro 2 abstract recent developments in information technology have enabled collection and processing of vast amounts of personal data such as criminal records shopping habits credit and medical history and driving records. Knowledge discovery is needed to make sense and use of data. Data mining is the analysis step of the knowledge discovery in databases process or kdd.
Privacy issues in knowledge discovery and data mining ljiljana brankovic1 and vladimir estivill castro2 abstract recent developments in information technology have enabled collection and processing of vast amounts of personal data such as criminal records shopping habits credit and medical history and driving records.
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