To reflect
upon feedback from last year we will extend
the constructive feedback given within the
review in aligning them with the IEEE
guidelines for IJCNN and WCCI. In
particular, we aim at a fair, objective and
transparent review process. Therefore we are
publishing the review criteria to further
support the reviews provided.
Papers
will be evaluated for relevance to DMIN,
originality, significance, information
content, clarity, and soundness on an
international level. Each aspect will be
evaluated on a scale of 1 (bad - reject) to
10 (excellent - accept) or 10%-100%. Papers
need to achieve at least 50% overall score
to be accepted without mandatory revisions.
Each paper will be refereed by at least two
researchers in the topical area, and all
reviews are being considered for the
acceptance / rejection decision. Each
reviewer can indicate their expertise and
therefore their relative confidence in a
particular recommendation. The camera-ready
papers will be reviewed by one person.
We
particularly encourage submissions of
industrial applications and case studies
from practitioners. To reflect the
requirements of an application or project
centric case study presentation, these will
be subject to different review criteria. In
particular, they will not be evaluated using
predominantly theoretical research criteria
of originality etc., but will take general
interest and presentation stronger into
consideration. The camera-ready papers will
be reviewed by one person.
So far,
the review process for the pre-conference
proceedings has been highly competitive. The
overall acceptance rate for DMIN'06 together
with its affiliated events BIOCOMP'06,
PDPTA'06, IPCV'06, and FCS'06 is 34%. The
review process was objective, even rejecting
papers from multiple well established
members of the programme committee!
Instructions used in the review process
Relevance
|
Is the topic of the paper relevant
to the scope of DMIN’06 and its
participants? (or related
conferences of WORLDCOMP such as
ICAI etc) Does it show the potential
to stimulate interactive discussion? |
Originality |
How novel and innovative is the
paper? A paper presenting methods or
application domains not frequently
discussed will receive a high mark.
This also takes into consideration
whether the topic has been published
in similar form before. If the paper
contains mostly known material, i.e.
established methods and well
understood application domains, it
is not considered very original.
Empirical case studies of a
particular application domain are
often highly original, but may have
only limited significance to the
field. |
Significance
|
Does the paper make a valuable
contribution to the theory or the
practice of data mining? A high
significance indicates a high
influence of this research on
following publications in the field
or applications, implications for
practices, policies and future
research etc. It represents an
indicator of the importance of the
findings, regardless of their degree
of originality. |
Content
|
What is the information content of
the paper? Does the paper allow
non-experts in the field to
comprehend its research objective?
DMIN as part of WOLRDCOMP is
inherently interdisciplinary.
Therefore a balanced literature
review of relevant aspects,
sufficient description of the
application domain, methods and
established best practices will be
considered as good information
content. |
Soundness
|
Is the paper technically correct
(considering its submission
category)? What is the technical
quality?
For research papers:
Quality of literature review and
statement of research goals.
Appropriate use of the most relevant
references to indicates orientation
within the field. Appropriately
chosen and documented methods,
logical presentation and analysis of
results, findings, inferences and
conclusions. Were all technical and
technological aspects of the
experiments well documented?
(reliability) Were results compared
to established benchmark practices,
methods etc.? Were the results
evaluated taking care of established
standard procedures? (validity)
For application papers:
Creativity, leadership and
excellence in professional practice,
demonstrated in teaching, staff
development, program or
institutional development,
educational media or services
developments, or learning skills
services. |
Clarity
|
Is the paper well presented and
organised? A well presented paper
enhances the understanding of the
presented content also to non
experts in the field. It often shows
clear and logical presentation,
appropriate style, the standard of
English, freedom from errors, ease
of reading, correct grammar and
spelling, appropriate abstract,
adequate use of graphical materials
and tables to support ideas &
findings, conformance with DMIN
specifications for referencing,
length and format details. DMIN is a
highly international conference, so
English quality may be substandard.
Please indicate mandatory revisions
and the need for corrections through
a native English speaker, if the
content of the paper is still
comprehensible. Indicate it if the
level of English prohibits an
understanding of the thoughts
presented. |
Overall rating |
All aspects will be evaluated and
combined to an overall rating,
providing a suggestion for
acceptance or rejection of the
paper. |
The individual aspects are
not all of the same importance and may be
weighted to provide a final score.
Reviewer
expertise & confidence |
The combined overall ranking will be
weighted with each reviewers
expertise in the area. A reviewer’s
expertise for a topic indicates how
familiar he is with current
research, publications, best
practices and applications in the
field. Is he familiar with the
references? Reviewers with a high
confidence will be able to evaluate
a paper more accurate then a
reviewer with little expertise in
the field. |
The score may be weighted by
reviewer expertise in comparison to the
other reviews.
Detailed Comments
|
Try to provide constructive
criticism that allows feedback on
what to change for a resubmission or
even future submission to other
conferences. No arrogance even for
abysmal papers, very bad English
language etc. You may not need to
comment on all aspects. Think of a
student learning to ski – just
indicate the next steps to alleviate
the paper to a higher level. Please
indicate spelling mistakes and
inconsistencies in equations if
there are not too many.
In your comments, please pay
particular attention to
-
the suitability of the title &
adequacy of the abstract
-
tables & illustrations regarding
readability
-
length
& formatting of the paper
-
conclusions
-
references
-
plagiarism
|
Most suitable form of presentation –Any Oral
Poster
-
Strong Accept
(unconditional acceptance is &
recommend for best paper)
-
Accept
(unconditional acceptance
as is)
-
Weak Accept (minor
revisions & resubmit to be accepted)
-
Neutral
(revise & resubmit to be
accepted)
-
Weak
Reject (mandatory revisions to be
accepted, otherwise reject)
-
Reject (significant
revisions required, not feasible within
given time, rejection)
-
Strong
Reject (unconditional rejection, no
revisions possible to present paper in
DMIN)
|