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Ch 14 (privacy, ethics, and mining data about indviduals (government…
Ch 14
privacy, ethics, and mining data about indviduals
government agencies
online data mining
business need this close connection with customers
anonymitization
priavacy is not easy to understand
many documents concerning privacy can range form 80-300 pages or more
fundamental concepts of data science
how data science fits in the organization
ways to attract, structure, and and nurture data science teams
ways of thinking data-analytically
data mining process
high level data science tasks
keep the problem in mind through whole process
data is an asset
looking too hard at data
overfitting
exploratory data mining is different than applying data science to a well structured problem
general concepts for extracting knowledge from data
identifying informative attributes
controlling complexity
calculating similarities between objects
fitting a numeric function to data
chosing objective
and finding a set of parameters set on that objective
apply out fundamental concepts to a new problem: Mining Mobile Device Data
shopping is done more by mobile devices now
targeting a person is very easy
how to use mobile device data
geographically/visually map it
path traveled
can use targeted ads
TFIDF
changing the way we think about solution to business problems
the problem becomes what can you do with the data
dont forget what you have changed
may become a problem down the line
What data cant do: Humans in the loop, Revisited
humans better at identifying form everything out in the world
data wouldn't be relevant
without the human mind
computers are better
at sifting through massive amounts of data
and finding predictions within them