Ch. 4 – Predictive Analytics I_ Data Mining Process,
Ch. 4 –
Methods,
Predictive
and Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
Ch.
and
4 –
Study
Methods,
Predictive
Guide
and(1).pdf
Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
and Study
Methods,
Guide
and(1).pdf
Algorithms – Lecture Notes and Study Guide (1).pdf
Ch. 4 – Predictive Analytics I:
Data Mining Process,
Methods, and Algorithms –
Lecture Notes and Study
Guide
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_
Ch. 4 – Predictive Analytics I_ Data Mining Process,
Ch. 4 –
Methods,
Predictive
and Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
Ch.
and
4 –
Study
Methods,
Predictive
Guide
and(1).pdf
Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
and Study
Methods,
Guide
and(1).pdf
Algorithms – Lecture Notes and Study Guide (1).pdf
,Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
Terms in this set (62)
predictive analytics in law enforcement 1. policing with less
2. new thinking on cold cases
3. the big picture starts small
4. success brings credibility
5. just for the facts
6. safer streets for smarter cities
not new Although the term "data mining" is relatively new, the ideas behind it are ___ ___.
statistical analysis; artificial intelligence Many of the techniques used in data mining have their roots in traditional ___________
________ and __________ ____________ (AI).
data mining (DM) - exciting technology
- imperative and common practice for a vast majority of organizations
- a strategic weapon for companies to compete with the giants of Amazon,
Capital One, and Marriott
Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
, Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
Why is data mining gaining attention? 1. competition at the global scale
2. recognition of the value in data sources
3. availability of quality data
- a large portion of "understanding the customer" can come from analyzing the
vast amount of data that a company routinely collects
- this has helped Amazon and many other successful businesses
4. decrease in cost
- the cost of data storage has plummeted recently, making data mining feasible
for more firms
data mining (DM) the nontrivial process of identifying valid, novel, potentially useful, and ultimately
understandable patterns in data stored in structured databases
valid the discovered patterns should hold true on new data
novel previously unknown patterns are discovered
potentially useful results should lead to some business benefit
Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
Ch. 4 –
Methods,
Predictive
and Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
Ch.
and
4 –
Study
Methods,
Predictive
Guide
and(1).pdf
Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
and Study
Methods,
Guide
and(1).pdf
Algorithms – Lecture Notes and Study Guide (1).pdf
Ch. 4 – Predictive Analytics I:
Data Mining Process,
Methods, and Algorithms –
Lecture Notes and Study
Guide
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_
Ch. 4 – Predictive Analytics I_ Data Mining Process,
Ch. 4 –
Methods,
Predictive
and Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
Ch.
and
4 –
Study
Methods,
Predictive
Guide
and(1).pdf
Algorithms
Analytics I_–
Data
Lecture
MiningNotes
Process,
and Study
Methods,
Guide
and(1).pdf
Algorithms – Lecture Notes and Study Guide (1).pdf
,Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
Terms in this set (62)
predictive analytics in law enforcement 1. policing with less
2. new thinking on cold cases
3. the big picture starts small
4. success brings credibility
5. just for the facts
6. safer streets for smarter cities
not new Although the term "data mining" is relatively new, the ideas behind it are ___ ___.
statistical analysis; artificial intelligence Many of the techniques used in data mining have their roots in traditional ___________
________ and __________ ____________ (AI).
data mining (DM) - exciting technology
- imperative and common practice for a vast majority of organizations
- a strategic weapon for companies to compete with the giants of Amazon,
Capital One, and Marriott
Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
, Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
Why is data mining gaining attention? 1. competition at the global scale
2. recognition of the value in data sources
3. availability of quality data
- a large portion of "understanding the customer" can come from analyzing the
vast amount of data that a company routinely collects
- this has helped Amazon and many other successful businesses
4. decrease in cost
- the cost of data storage has plummeted recently, making data mining feasible
for more firms
data mining (DM) the nontrivial process of identifying valid, novel, potentially useful, and ultimately
understandable patterns in data stored in structured databases
valid the discovered patterns should hold true on new data
novel previously unknown patterns are discovered
potentially useful results should lead to some business benefit
Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf Ch. 4 - Predictive Analytics I_ Data Mining Process, Methods, and Algorithms.pdf
