public & privacy
Eigenfaces
Eigenfaces are a set of eigenvectors used in the computer vision problem of human face recognition. The approach of using eigenfaces for recognition was developed by Sirovich and Kirby (1987) and used by Matthew Turk and Alex Pentland in face classification. It is considered the first successful example of facial recognition technology.These eigenvectors are derived from the covariance matrix of the probability distribution of the high-dimensional vector space of possible faces of human beings.
surveillance model: is built upon visual metaphors and derives from historical experiences of secret police surveillance
capture model: is built upon linguistic metaphors and takes as its prototype the deliberate reorganization of industrial work activities to allow computers to track them [the work activities] in real time.
Lawrence Lessig
Lawrence Lessig (born June 3, 1961) is an American academic. He is a professor of law at Stanford Law School and founder of its Center for Internet and Society. Lessig founded Creative Commons and is a board member of the Electronic Frontier Foundation and of the Software Freedom Law Center. He is best known as a proponent of reduced legal restrictions on copyright, trademark and radio frequency spectrum, particularly in technology applications.
He saids "I am arguing that a kind of inefficiency should be built into these emerging technologies - an inefficiency that makes it harder for these technologies to be misused. And of course it is hard to argue that we ought to build in features of the architecture of cyberspace that will make it more difficult for government to do its work. It is hard to argue that less is more."
But though hard, this is not an argument unknown in the history of constitutional democracies. Indeed, it is the core of much of the design of many of the most successful constitutional democracies - that we build into such constitutions structures of restraint, that will check, and limit the efficiency of government, to protect against the tyranny of government.
Oscar H. Gandy Jr.
Oscar H. Gandy Jr. , retired since 2006, was the Herbert Schiller Professor of Communication studies at the Annenberg School for Communication, University of Pennsylvania. Gandy is a world-renowned scholar of the political economy of information. His work spans many subjects, including privacy, race, information technology, media framing, media development, and educational subsidy.
Data mining
Data mining is the process of sorting through large amounts of data and picking out relevant information. It is usually used by business intelligence organizations, and financial analysts, but is increasingly being used in the sciences to extract information from the enormous data sets generated by modern experimental and observational methods. It has been described as "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data" and "the science of extracting useful information from large data sets or databases". Data mining in relation to Enterprise Resource Planning is the statistical and logical analysis of large sets of transaction data, looking for patterns that can aid decision making.
Business
Data mining in customer relationship management applications can contribute significantly to the bottom line. Rather than contacting a prospect or customer through a call center or sending mail, only prospects that are predicted to have a high likelihood of responding to an offer are contacted. More sophisticated methods may be used to optimize across campaigns so that we can predict which channel and which offer an individual is most likely to respond to - across all potential offers. Finally, in cases where many people will take an action without an offer, uplift modeling can be used to determine which people will have the greatest increase in responding if given an offer. Data clustering can also be used to automatically discover the segments or groups within a customer data set.
My opinion
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