Applying Predictive Analytics: Finding Value in Data
Autor Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawien Limba Engleză Hardback – 20 mar 2019
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Specificații
ISBN-13: 9783030140373
ISBN-10: 3030140377
Pagini: 292
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030140377
Pagini: 292
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Introduction
to
Predictive
Analytics.- Know
Your
Data
–
Data
Preparation.- What
do
Descriptive
Statistics
Tell
Us.- The
First
of
the
Big
Three
–
Regression.- The
Second
of
the
Big
Three
–
Decision
Trees.- The
Third
of
the
Big
Three
-
Neural
Networks.- Model
Comparisons
and
Scoring.- Appendix
A.- Data
Dictionary
for
the
Automobile
Insurance
Claim
Fraud
Data
Example.-
Conclusion.
Notă biografică
Richard
V.
McCarthy
(DBA,
Nova
Southeastern
University,
MBA,
Western
New
England
College)
is
a
professor
of
Computer
Information
Systems
at
the
School
of
Business,
Quinnipiac
University.
He
also
serves
as
the
director
for
the
Master
of
Science
in
Business
Analytics
program.
Prior
to
this,
Dr.
McCarthy
was
an
associate
professor
of
management
information
systems
at
Central
Connecticut
State
University.
He
has
twenty
years
of
experience
within
the
insurance
industry
and
has
held
a
Charter
Property
Casualty
Underwriter
(CPCU)
designation
since
1991.
He
has
authored
numerous
research
articles
and
contributed
to
several
textbooks.
He
has
served
as
the
associate
dean
of
the
School
of
Business
as
well
as
the
MBA
director.
He
served
as
a
member
of
the
board
of
the
International
Association
for
Computer
Information
Systems
and
is
currently
a
member
of
the
board
of
the
EABOK
project.
Wendy Ceccucci (PhD and MBA, Virginia Polytechnic University) is a Professor and Chair of Computer Information Systems at Quinnipiac University. Her teaching areas include business analytics and programming. She is the past president of the Education Special Interest Group (EDSIG) of the Association for Information Technology Professionals (AITP) and past Associate Editor of the Information Systems Education Journal (ISEDJ). Her research interests lies in Information Systems Pedagogy.
Leila Halawi (DBA, Nova Southeastern University, MBA and BS, Lebanese American University) is an associate professor in the department of Technology Management in the College of Business, Worldwide Campus. Dr Halawi serves as the MIS Discipline Chair, Chair of the Research Committee for the Senate and the Director of Research for the College of Business.
She developed many of the courses within the MMIS program. She holds a Certification by Sloan C Consortium in Online Teaching, and a certificate from Quality Matters on Applying the QM Rubrics, (APPQMR). She is an advisory board member and a reviewer for the Enterprise Architecture Body of Knowledge (EABOK), Mitre Corporation. She is a Reviewer for the Journal of Computer Information Systems (JCIS) and the International Association for computer information systems (IACIS). She is also a program committee member and reviewer for the European Conference on Social Media, (ECSM), the European Conference on Knowledge Management (ECKM) and the International Conference on Intellectual Capital and Knowledge Management (ICIKM), the Federated Conference on computer science and information systems (FEDCSIS). She is also part of the IT editorial board of the multimedia educational resource for learning and online teaching (MERLOT). Mary McCarthy (DBA, Nova Southeastern University, MBA, University of Connecticut) a professor of Accounting, Central Connecticut State. She has twenty years of financial reporting experience and has served as the controller for a Fortune 50 industry organization. She holds a CPA, CFA and CMA designation. She has authored numerous research articles.
Wendy Ceccucci (PhD and MBA, Virginia Polytechnic University) is a Professor and Chair of Computer Information Systems at Quinnipiac University. Her teaching areas include business analytics and programming. She is the past president of the Education Special Interest Group (EDSIG) of the Association for Information Technology Professionals (AITP) and past Associate Editor of the Information Systems Education Journal (ISEDJ). Her research interests lies in Information Systems Pedagogy.
Leila Halawi (DBA, Nova Southeastern University, MBA and BS, Lebanese American University) is an associate professor in the department of Technology Management in the College of Business, Worldwide Campus. Dr Halawi serves as the MIS Discipline Chair, Chair of the Research Committee for the Senate and the Director of Research for the College of Business.
She developed many of the courses within the MMIS program. She holds a Certification by Sloan C Consortium in Online Teaching, and a certificate from Quality Matters on Applying the QM Rubrics, (APPQMR). She is an advisory board member and a reviewer for the Enterprise Architecture Body of Knowledge (EABOK), Mitre Corporation. She is a Reviewer for the Journal of Computer Information Systems (JCIS) and the International Association for computer information systems (IACIS). She is also a program committee member and reviewer for the European Conference on Social Media, (ECSM), the European Conference on Knowledge Management (ECKM) and the International Conference on Intellectual Capital and Knowledge Management (ICIKM), the Federated Conference on computer science and information systems (FEDCSIS). She is also part of the IT editorial board of the multimedia educational resource for learning and online teaching (MERLOT). Mary McCarthy (DBA, Nova Southeastern University, MBA, University of Connecticut) a professor of Accounting, Central Connecticut State. She has twenty years of financial reporting experience and has served as the controller for a Fortune 50 industry organization. She holds a CPA, CFA and CMA designation. She has authored numerous research articles.
Textul de pe ultima copertă
This
textbook
presents
a
practical
approach
to
predictive
analytics
for
classroom
learning.
It
focuses
on
using
analytics
to
solve
business
problems
and
compares
several
different
modeling
techniques,
all
explained
from
examples
using
the
SAS
Enterprise
Miner
software.
The
authors
demystify
complex
algorithms
to
show
how
they
can
be
utilized
and
explained
within
the
context
of
enhancing
business
opportunities.
Each
chapter
includes
an
opening
vignette
that
provides
real-life
example
of
how
business
analytics
have
been
used
in
various
aspects
of
organizations
to
solve
issue
or
improve
their
results.
A
running
case
provides
an
example
of
a
how
to
build
and
analyze
a
complex
analytics
model
and
utilize
it
to
predict
future
outcomes.
- Focuses
on
how
to
use
predictive
analytic
techniques
to
analyze
historical
data
for
the
purpose
of
predicting
future
results;
- Takes
an
applied
approach
and
focus
on
solving
business
problems
using
predictive
analytics
and
features
case
studies
and
a
variety
of
examples;
- Uses examples in SAS Enterprise Miner, one of world’s leading analytics software tools.
Caracteristici
Focuses
on
how
to
use
predictive
analytic
techniques
to
analyze
historical
data
for
the
purpose
of
predicting
future
results
Takes an applied approach and focus on solving business problems using predictive analytics and features case studies and a variety of examples
Uses examples in SAS Enterprise Miner, one of world’s leading analytics software tools
Request lecturer material: sn.pub/lecturer-material
Takes an applied approach and focus on solving business problems using predictive analytics and features case studies and a variety of examples
Uses examples in SAS Enterprise Miner, one of world’s leading analytics software tools
Request lecturer material: sn.pub/lecturer-material