The Positive Impact of Data Mining:
The Positive Impact of Data Mining:
In the 5th Annual Survey (2011) data miners shared examples of situations where
data mining is having a positive impact on society. A summary of the top five
positive impact example topic areas is available. In addition to these top five
areas, data miners described positive impact examples in a diverse set of areas.
Below is the full text of the 44 positive impact examples they shared in these other
- Better prediction than classical statistics methods for rhino horn
fingerprinting. Can help busy people develop improved prediction
models that can handle non-linearity and complex interactions.
- We have applied data mining in government to better estimate the
social and economical return of funding programs (loans, grants, and
so on) using credit scoring and data mining in general. By our
estimations, these techniques translate into more jobs created, more
funding programs, and in general a virtuous circle.
- I work for a charity, which is using data mining to increase the level of
donation to appeals, reduce attrition in regular giving and identify likely
candidates for major giving, bequests etc.
- Data mining offers tools that can improve our knowledge about risk
factors in adolescent substance use.
- In our case, predicting academic performance help us detect at risk
students in order to help them, so they will not quit their studies. We
will also detect the high performance students to get the best of them.
- Data mining can be used to improve retention amongst at-risk
populations of college students as well as improve the overall delivery
of collegiate education.
- Improve college student success and retention.
- I think if properly aligned, Data mining will make a good impact in
- Improved production efficiency -> reduced waste and pollution.
Improved understanding of bio-genetics and related immunology.
Improved understanding of sociopolitical and socio-economic
phenomena and trends. Improved security.
- In the near future, conclusions from data mining will yield results that
will be used on the witness stand. While this will be helpful in both
evidence collection and criminal prosecution it is also a challenge to
the industry. Hopefully by the time that becomes common, the
industry has a set of standards to clearly evaluate whether the claims
that are being made are credible.
- 1) Recommendation systems for pretty much anything. You can't
buy/use etc. something you don't know about. 2) Social networking.
3) Fraud, criminal and terrorist detection. 4) Improving on human
errors (auto correcting human spelling in searches, suggesting other
queries etc.) 5) Anomaly detection.
- Operational / quality efficiency improvement is an area with NO
personal privacy concerns to society. Crime prevention is another
huge positive impact without concerns.
- Detection fraud. Detection criminal activities.
- Currently: mitigating terrorism, and ultimately: defeating terrorism
- Recommendation Fraud Detection and crime prevention
- Crime and terror prevention.
- Better and proactive Risk management, Economic forecast and
improved agriculture output.
- Better credit scoring, credit risk measurement
- New brand predictions for market and volume shares - based on
markovian analysis brand price elasticities segmentation of brands -
based on cluster Perceptual mapping - factor analysis trending -
- Data mining for petroleum discovery and production in deep waters.
- It solves the basic fundamental question of economics -how to better
allocate resources. This will ultimately benefit customers, companies
and the society as a whole: Focus on facts to generate value and
- Data mining search terms tells us much about society in the free world.
The information gained from it can be used to increase productivity for
anyone and improve governments policy making.
- Research of relationships in the omics fields, in the scientific
experiments (I think colliders), in streaming data dependent fields.
- Predictive analytic to forecast poverty ratio/scores for better capacity
- Combustion optimization. No other information can be given at this
- Helping bring down insurance costs through accurate rate setting.
- In early 2009, the Office of the Comptroller of the Currency (OCC), a
regulatory arm of the Treasury Department, launched a project to
assemble a database of performance data on over 70% of the
mortgage loans on the books in the US today. This project, which
involved monthly contributions of data from the nine largest mortgage
servicers in the country, has given the OCC insight into how well efforts
to mitigate the real estate collapse have performed. In an environment
where everyone has preconceived ideas of what caused the crash of
2008, this database is an invaluable source for understanding what is
really going on. Quarterly reports are published on the web by the OCC.
- Identifying predictive information from unstructured data, such as e-
mails, blogs, online news, internal notes.
- I recently analyzed a database built using car accident reports. Inside
the DB, we have, for instance: speed of cars before accident, state of
intoxication(alcohol), time of day, road class, relative position of cars,
weather, etc. I did a predictive model to predict if the accident was lethal
or with a severe injury. The most important variables are, in decreasing
importance: overtiredness, reduced visibility, road class (is it a
highway?), state of intoxication(alcohol),... What's interesting is that: 1.
"speed" is never used (but the "road class" variable, that also encodes
the speed, is always used instead). 2. overtiredness is more important
than the "state of intoxication(alcohol)". Why are these 2 factors ("road
class" and "overtiredness") never part of any advertisement campaigns?
- The beneficials are vast: for instance: these days pattern-recognition
algorithms approach a level of accuracy no human beings could ever
- Results that can not be gained with "usual" BI methods (SQL, OLAP).
- Suitable training material of data mining applicable to different
disciplines. Rigorous training.
- Better predictability capacity, which may lead to better decision-making
in all areas.
- Data (mining) gives a better understanding of the world we're living in.
- Data mining process bring the possibility to apply science instead of
using the rule of thumb.
- Give more accurate answers.
- A smarter way to do anything you do.
- Understanding better how things work.
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