Skip to main content
Home
Browse All
Log in
|
Favorites
|
Help
|
English
English
Engish-Pirate
한국어
Search
Advanced Search
Find results with:
error div
Add another field
Search by date
Search by date:
from
after
before
on
from:
to
to:
Searching collections:
CCSU Theses and Dissertations
Add or remove collections
Home
CCSU Theses & Dissertations
Exploring Player Synergy Using Association Rules
Reference URL
Share
Add tags
Comment
Rate
Save to favorites
Remove from favorites
To link to this object, paste this link in email, IM or document
To embed this object, paste this HTML in website
Exploring Player Synergy Using Association Rules
View Description
Download
small (250x250 max)
medium (500x500 max)
Large
Extra Large
large ( > 500x500)
Full Resolution
Print
2849.pdf
Description
Identifier
Thesis
2716
Author
Keller, Patrick Daniel, 1985-
Title
Exploring
Player
Synergy
Using
Association
Rules
Publisher
Central Connecticut State University
Date of Publication
2018
Resource Type
Master's Thesis
Abstract
Extracting
the
maximum
performance
of a
given
roster
of
basketball
players
could
benefit
from
understanding
the
presence
or
absence
of
synergy
between
groups
of
players
.
Players
may
play
superior
basketball
when
another
player
, or
group
of
players
,
is
also
present
on the
court
.
Treating
basketball
game
data
as a
transactional
data
set
and
producing
association
rules
is
presented
as a
means
of
quantifying
player
synergy
.
Groups
of
players
ranging
from the
individual
to a
complete
set
of
five
players
on the
court
are
considered
.
Using
the
interest
measure
of
conviction
, these
association
rules
are
compared
to the
typical
performance
of the
team
. The
additional
interest
measure
of
improvement
provides
a
means
of
comparing
each
rule
to
all
rules
that
exist
as
smaller
subsets
of the
antecedent
. In
examining
the
rules
produced
using
the
Central
Connecticut
State
University
men's
basketball
team
conference
game
data
for the
2017-2018
season
,
multiple
sets
of
players
of
varying
size
were
found
to
perform
better
as a
group
than their
individual
performances
.
Several
groupings
were
found
to
perform
better
than the
team's
overall
performance
against
the
points
per
possession
,
points
per
possession
allowed
, and
plus-minus
metrics
used
in
rule
generation
.
Applying
association
rules
to
play
by
play
data
in this
manner
could
yield
insight
into
improved
player
substitution
decisions
in the
arena
of
college
basketball
.
Notes
"
Submitted
in
Partial
Fulfillment
of the
Requirements
for the
Degree
of
Master
of
Science
in
Data
Mining.
;
Thesis
advisor
:
Roger
Bilisoly.
;
M.S.,Central
Connecticut
State
University,,2018.
;
Includes
bibliographical
references
(leaves
67-68)
.
Subject
Basketball players.
Basketball teams.
Basketball--Statistics.
Department
Department of Mathematical Sciences
Advisor
Bilisoly, Roger
Type
Text
Software
System requirements: PC and World Wide Web browser.
Language
eng
OCLC number
1082260642
Rating
Tags
Add tags
for Exploring Player Synergy Using Association Rules
View as list
|
View as tag cloud
|
report abuse
Comments
Post a Comment
for
Exploring Player Synergy Using Association Rules
Your rating was saved.
you wish to report:
Your comment:
Your Name:
...
Back to top
Select the collections to add or remove from your search
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
Select All Collections
C
CCSU Student Publications
CCSU Theses and Dissertations
G
GLBTQ Archives
M
Modern Language Oral Histories
O
O'Neill Archives Oral Histories
P
Polish American Pamphlets
Polish Posters
T
Treasures from the Special Collections
V
Veterans History Project
500
You have selected:
1
OK
Cancel
