Introducing view too v.2.1
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ViewToo is an online meeting application that allows users to share their screens from cloud storage services with multiple attendees via a single link. It offers simple one-click meetings without registration through customizable meeting codes. Files can be shared and annotated during meetings across devices on Android, iOS, and desktop. Common use cases include online consultations, sharing class presentations, and conducting international meetings from anywhere.
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ou
n
t
of
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texts
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b
e
-
long
to
differe
n
t
domains
su
c
h
as
healthcare
(e.g.
medical
records),
justice
(e.g.
l
a
ws,
declarations),
insurance
(e.g.
declarations),
etc. increases
the
effort
required
for
the
analysis
of
information
in
a
decision making
pro
-
cess.
Differe
n
t
pr
o
jects
and t
o
ols
h
av
e
pro
p
osed
strategies
to
reduce
this
complexi
t
y
b
y
classifying,
summarizing
or
annotating
the
texts.
P
artic
-
ularl
y
,
text
summary
strategies
h
av
e
pr
ov
en
to
b
e
v
ery
useful
to
pr
o
vide
a
compact
view
of
an
original
text.
H
ow
e
v
er,
the
a
v
ailable
strategies
to
generate
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summaries
do
not
fit
v
ery
w
ell
within
the
domains
that
require
ta
k
e
i
n
to
consideration
the
tem
p
oral
dimension
of
the
text
(e.g.
a
rece
n
t
piece
of
text
in
a
medical
record
is
more
im
p
orta
n
t
than
a
pre
-
vious
one)
and
the
profile
of
the
p
erson
who
requires
the
summary
(e.g
the
medical
s
p
ecialization).
T
o
co
p
e with
these
limitations
this
pa
p
er
prese
n
ts
”GRe
A
T”
a
m
o
del
for
automatic
summary
generation
that
re
-
lies
on
natural
language
pr
o
cessing
and
text
mining
te
c
hniques
to
extract
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most
rele
v
a
n
t
information
from
narrati
v
e
texts
and
disc
o
v
er
new
in
-
formation
from
the
detection
of
related
information. GRe
A
T
M
o
del
w
as impleme
n
ted
on
sof
tw
are
to
b
e
v
alidated
in
a
health
institution
where
it
has
sh
o
wn
to
b
e
v
ery
useful
to displ
a
y
a
preview
of
the
information
a
b
ou
t
medical
health
records
and
disc
o
v
er
new
facts
and
h
y
p
otheses
within
the
information.
Se
v
eral
tests
w
ere
executed
su
c
h
as
F
unctional
-
i
t
y
,
Usabili
t
y
and
P
erformance
regarding
to
the
impleme
n
ted
sof
t
w
are.
In
addition,
precision
and
recall
measures
w
ere
applied
on
the
results
ob
-
tained
through
the
impleme
n
ted
t
o
ol,
as
w
ell
as
on
the
loss
of
information
obtained
b
y
pr
o
viding
a
text
more
shorter than
the
original
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importance to predict cancer recurrence so that specific treatments can be sought. Nonetheless,
conventional methods of predicting cancer recurrence rely solely on histopathology and the results are not
very reliable. The microarray gene expression technology is a promising technology that couldpredict
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researchers to examine the expression of thousands of genes simultaneously. This paper describes a stateof-
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lazy
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NN) has
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there by leads to exaggeration of
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amalgamati
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a novel restructured version of
k
NN called
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k
NN
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and
k
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The proposed work
comprises
preprocesses
on
the
initial training
set
by
imposing
attribute feature selection
for reduc
tion of high dimensionality, also it
detects and excludes the high
-
fliers
samples
in t
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initial
training set
and
re
structure
s
a
constricted
training
set
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and
restructures
the constricted training set
with centroids
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is
amalgamated with
AkNN
classifier
that
was prearranged with
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a
v
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n
t
of
non
-
structured
texts
that
b
e
-
long
to
differe
n
t
domains
su
c
h
as
healthcare
(e.g.
medical
records),
justice
(e.g.
l
a
ws,
declarations),
insurance
(e.g.
declarations),
etc. increases
the
effort
required
for
the
analysis
of
information
in
a
decision making
pro
-
cess.
Differe
n
t
pr
o
jects
and t
o
ols
h
av
e
pro
p
osed
strategies
to
reduce
this
complexi
t
y
b
y
classifying,
summarizing
or
annotating
the
texts.
P
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ularl
y
,
text
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v
ery
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compact
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a
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to
generate
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do
not
fit
v
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w
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within
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domains
that
require
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k
e
i
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to
consideration
the
tem
p
oral
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(e.g.
a
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of
text
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record
is
more
im
p
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n
t
than
a
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one)
and
the
profile
of
the
p
erson
who
requires
the
summary
(e.g
the
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ecialization).
T
o
co
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these
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pa
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er
prese
n
ts
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a
m
o
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for
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re
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lies
on
natural
language
pr
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and
text
mining
te
c
hniques
to
extract
the
most
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t
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from
narrati
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e
texts
and
disc
o
v
er
new
in
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formation
from
the
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of
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del
w
as impleme
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ted
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tw
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e
v
alidated
in
a
health
institution
where
it
has
sh
o
wn
to
b
e
v
ery
useful
to displ
a
y
a
preview
of
the
information
a
b
ou
t
medical
health
records
and
disc
o
v
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new
facts
and
h
y
p
otheses
within
the
information.
Se
v
eral
tests
w
ere
executed
su
c
h
as
F
unctional
-
i
t
y
,
Usabili
t
y
and
P
erformance
regarding
to
the
impleme
n
ted
sof
t
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are.
In
addition,
precision
and
recall
measures
w
ere
applied
on
the
results
ob
-
tained
through
the
impleme
n
ted
t
o
ol,
as
w
ell
as
on
the
loss
of
information
obtained
b
y
pr
o
viding
a
text
more
shorter than
the
original
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- 2. Everybody ViewToo! ViewToo is an innovative online meeting application for everyone. ViewToo lets you do cloud- based screen sharing with multiple users by a single link. Accelerate your work and integrate with ViewToo to extend your workflow.
- 3. Make Your Meeting Simple Simple Online Meeting ㆍYour own meeting code (4~20 letters available) ㆍOne step invitation ㆍFile swapping during meeting ㆍFast annotation No Sign up ㆍNo registration process ㆍDirect access to meeting via a link ㆍOptional webview available ㆍFile download available Any File, Any Cloud on Any Device ㆍSupports most cloud storage solutions ㆍSupports multiple file types ㆍSupports Android and iOS ㆍOpen-in
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- 5. Quick Guide
- 6. Set Your Own Meeting Code Make your own meeting code to invite others.
- 7. Drag & Sync Your Cloud Account Choose & Sync any cloud that you want to share
- 8. Invite People by a Single Link Invite people by an email or a link.
- 9. Simple to Join Presenter Attendees * All devices including iOS, Android and PC from any OS can be joined.
- 10. Just seconds to set up your meeting. No sign up for both presenter and invitees. Available for all devices in regardless of type. Summary Flexible to change or download file during meeting. Simple meeting code making invitees join easily.