Machine Learning Journal
Special Issue on
Inductive Logic Programming and Relational Learning
Stan Matwin and Claude Sammut, Guest Editors
We are pleased to announce
that the Machine Learning Journal will again publish a special issue on Inductive
Logic Programming and Relational Learning, following the 13th International
Conference on Inductive Logic Programming held in Sydney, Australia, in
July 2002.
SCOPE
The Editors encourage submissions
to the Special Issue of MLJ papers on topics which
are generally considered within the scope of relational learning and inductive
logic programming. The list of topics below is indicative of the range of
the special issue, but it is by no means complete:
- first-order rule learning
- learning probabilistic and
statistical relational models
- link discovery
- learning from relational
databases
- learning in representations
other than logic (e.g. learning tree
patterns, learning conceptual
graphs)
- (multi)relational data mining
- ILP-specific issues in relational
data mining outside model building
(sampling, evaluation, etc.)
- multi-instance learning
- change of representation
and propositionalization
- relational reinforcement
learning
- instance-based and kernel-based
methods in ILP
- relational text and Web
mining; learning from semi-structured data
(e.g. XML)
- learnability and algorithmic
issues of learning from structured data
- inductive databases
- learning in higher-order
logics
- logical foundations of induction
- efficient implementations
- practical applications of
ILP and Relational Data Mining
We particularly encourage
papers which combine ILP with methods and tools from
other areas of Machine Learning or AI in general, e.g. learning probabilistic
concept descriptions, or ILP in Natural Language Processing. We also encourage
papers in which new, interesting applications are addressed by means of relational/ILP
methods.
PAPERS PREVIOUSLY PUBLISHED IN CONFERENCES/WORKSHOPS
Authors of papers that appeared
previously in refereed conferences and workshops (e.g. in ILP 2002) are encouraged
to submit extended version of these papers. Such papers must contain material
that is new wrt the conference paper, e.g. to provide more details, to give
greater, more in-depth, discussion of the results and related work, to expand
upon the experimental results, and to give a more thorough and scholarly
treatment of the material than is possible in a conference paper. Moreover,
all papers have to be accessible to the broad readership of the journal,
not just to researchers in ILP and relational learning. Submissions must
not have appeared in, nor be under consideration by, other journals. Authors
of papers whose previous versions appeared in refereed conferences and workshops
are requested to include in their submission a brief letter stating the differences
between the previously published version of their paper and this MLJ Special
Issue submission.
SUBMISSION PROCESS
Manuscripts should be prepared for 8 1/2 x 11 in paper, with pages numbered consecutively. Papers should be at most 20,000 words in length, with full-page figures counting for 400 words. Detailed guidelines are at:
http://www.cs.ualberta.ca/~holte/mlj/initialsubmission.pdf
We kindly ask that all submissions
be made electronically, as a postscript or pdf attachment to: jml@wkap.com.
Since this is a special issue, please be sure that:
-
the topic of the email containing your
submission must be Submission to the Special Issue of
MLJ on ILP/RL
-
your submission is cc’ed to: stan@site.uottawa.ca,
for double-checking
If you cannot submit your paper
electronically, please send five (5) hardcopies of the manuscript to Kluwer
at the address specified in the instructions, and one (1) hardcopy to:
Stan Matwin
SITE, 800 King Edward
University of Ottawa
Ottawa, ON
K1N 6N5
Canada
With a note on the envelope: MLJ ILP-RL submission.
All inquiries regarding this special issue should be
directed to Stan Matwin (stan@site.uottawa.ca)
DATES
Submission deadline: March
20, 2003