Prognosis-based Decision Support in Medicine
A Divide and Conquer Approach
1
Ammen Abu-Hanna1 and Nicolette de Keizer1,2
Department of Medical Informatics, AMC-University of Amsterdam
Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
2
National Intensive Care Evaluation (NICE) Foundation
http://www.stichting-nice.nl
Space Partitioning for Instance Reduction in
Lazy Learning Algorithms
M.C. Ainslie and J.S. Sanchez
Dept. de Llenguatges i Sistemes Informatics, Universitat Jaume I,
Campus Riu Sec, E-12071 Castello, Spain
E-mail: sanchez@uji.es
Feeding Data Mining
Paolo Avesani, Emanuele Olivetti, and Angelo Susi
ITC-IRST,
Via Sommarive 18 - Loc. Pant`e, I-38050 Povo, Trento, Italy
favesani,olivetti,susig@irst.itc.it
Describing Decision Support, Data Mining, and
Text/Web Mining Studies in SolEuNet
Marko Bohanec, Bojan Cestnik, Marko Grobe1nik, Dunja Mladenić
Jožef Stefan Institute, Ljubljana, Slovenia
Mario Alves, A1ipio Jorge
LIACC, Oporto, Portugal
Sleve Moyle
Oxford University, Oxford, UK
S-fold Meta-Combiner for Unknown Values Processing:
Case Study for Various Values of S
Ivan Bruha 1
1
McMaster University, Dept. Computing & Software
Hamilton, Ont., Canada L8S4K1
bruha@mcmaster.ca
Data Mining for Decision Support in Marketing: A Case Study in Targeting
a Marketing Campaign
Bojan Cestnik1, 5, Nada Lavrač1, Filip Železny2,
Dragan Gamberger3, Ljupčo Todorovski1, Miro Kline4
1 Jožef
Stefan Institute, Ljubljana, Slovenia
Technical University, Prague, Czech Republic
3 Rudjer Bošković Institute, Zagreb, Croatia
4 Kline&Kline, Ljubljana, Slovenia
5 Temida, Ljubljana, Slovenia
2 Czech
Subgroup Visualization: A Method
and Application in Population Screening
Dragan Gamberger 1, Nada Lavrač 2, Dietrich Wettschereck 3
1Rudjer
Bošković Institute, Bijenička 54, 10000 Zagreb, Croatia
dradan.gamberger@irb.hr
2Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia
nada.lavrac@ijs.si
3University of Applied Sciences, Bonn-Rhein-Sieg, 53757 Sankt Augustin, Germany
dietrich.wettschereck@fh-bonn-rhein-sieg.de
Combined Data Mining and Decision Support
Approach to the Prediction of Academic Achievement
Silvana Gasar 1, Marko Bohanec 2,3, Vladislav Rajkovi
_
4,2
1High
School Jesenice, Ruparjeva 2, SI-4270 Jesenice, Slovenia
silvana.gasar@telesat.si
2Institute Jožef Stefan, Jamova 39, SI-1000 Ljubljana, Slovenia
3University of Ljubljana, School of Public Administration Ljubljana, Slovenia
marko.bohanec@ijs.si
4University of Maribor, Faculty of Organisational Sciences, Kranj, Slovenia
vladislav.rajkovic@fov.uni-mb.si
A Post-processing Environment for Browsing
Large Sets of Association Rules 1
Alipio Jorge1 , Joăo Poças2, Paulo Azevedo3
1 LIACC/FEP,
Universidade do Porto, Portugal
amjorge@liacc.up.pt
2 Instituto Nacional de Estatística, Portugal
joao.pocas@ine.pt
3 Universidade do Minho, Portugal
pja@di.uminho.pt
Combination of Task Description Strategies and
Case Base Properties for Meta-Learning
Christian Köpf and Ioannis Iglezakis
DaimlerChrysler AG, Research & Technology, RIC/AM, P.O.-Box 2360,
D-89013 Ulm, Germany
{christian.koepf,ioannis.iglezakis}@daimlerchrysler.com
Supporting the Need for the Incremental Mining of a
Large National Medical Dataset by Epidemiologists
Tim Langford, Peter A. Flach
Department of Computer Science, University of Bristol,
Woodland Road, Bristol BS8 1UB, U.K..
{langford, flach}@cs.bris.ac.uk
Rule induction for subgroup discovery with
CN2-SD
Nada Lavrač1, Peter Flach2, Branko Kavšek1, and Ljupco Todorovski1
1
Institute Jožef Stefan, Jamova 39, 1000 Ljubljana, Slovenia
{Nada.Lavrac,Branko.Kavsek,Ljupco.Todorovski}@ijs.si
2
University of Bristol, Bristol, UK
Peter.Flach@bristol.ac.uk
Large and Tall Buildings: A case study in the
application of Decision Support and Data Mining
Steve Moyle1, Marko Bohanec2,3, and Eric Ostrowski4
1 Oxford
3
University Computing Laboratory, Oxford, UK
steve.moyle@comlab.ox.ac.uk
2 Jozef Stefan Institute, Ljubljana, Slovenia
University of Ljubljana, School of Public Administration, Sloveniamarko.
bohanec@ijs.si
4 EC Harris, London, UK
eric.ostrowski@echarris.com
Committee-Based Selective Sampling
with Parameters Set by Meta-Learning
Miloslav Nepil and Luboš Popelinsky
KD Group at Faculty of Informatics
Masaryk University in Brno, Czech Republic
{nepil,popel}@fi.muni.cz
Characterising Dataset with Tree Structure for MetaLearning
Yonghong Peng1 Peter A Flach1 Carlos Soares2 Pavel Brazdil2
1
Department of Computer Science, University of Bristol, UK
{yh.peng,peter.flach}@bristol.ac.uk
2 LIACC, University of Porto, Portugal
{csoares,pbrazdil}@liacc.up.pt
Meta-Learning for Stacked Classification
Alexander K. Seewald
Austrian Research Institute for Artificial Intelligence, Schottengasse 3
A-1010 Wien, Austria alexsee@oefai.at
Problem Dispatching Policies for Collaborative Case-Based Reasoning
Simon C. K. Shiu and Feng Zhang
Department of Computing, The Hong Kong Polytechnic University,
Hong Kong, China
{csckshiu | cszhangf}@comp.polyu.edu.hk
A Comparative Study of Some Issues
Concerning Algorithm Recommendation using
Ranking Methods
Carlos Soares and Pavel Brazdil
LIACC/Faculty of Economics, University of Porto, R. Campo Alegre 823, 4150-180
Porto, Portugal, {csoares,pbrazdil}@liacc.up.pt
Collaborative Data Mining and Data
Exchange: A Case Study
Olga Štepankova, Jiri Klema, Petr Mikšovsky
Department of Cybernetics, CTU Prague,
Technicka 2, 166 27 Prague 6, Czech Republic,
{step,klema,miksovsp}@labe.felk.cvut.cz
Qualitative Clustering of Short Time-Series:
A Case Study of Enterprises Reputation Data
Ljupčo Todorovski1, Bojan Cestnik2, Miro Kline3,
Nada Lavrač1, and Sašo Džeroski1
1
Department or Intelligent Systems, Jožef Stefan Institute
Jamova 39, SI-1000 Ljubljana, Slovania
{Ljupco.Todorovski, Saso.Dzeroski, Nada.Lavrac}@ijs.si
2
Temida, Grassellijeva 20, SI-1000 Ljubljana, Slovenia
Bojan.Cestnik@temida.si
3
Kline & Kline, Smrekarjeva 21, SI-1000 Ljubljana, Slovenia
kline-kline@siol.si
Combining Data Mining and Artificial Neural Networks for Decision Support
Sérgio Viademonte and Frada Burstein
School of Information Management and Systems
Monash University
PO 197 Caulfield East
3145 Victoria, Australia
{sergio.viademonte;frada.burstein}@sims.monash.edu.au
Factor Analysis Optimization: Applied on
Natural Language Knowledge Discovery
Robert J. Watts1, Alan L. Porter, Ph.D.2, Donghua Zhu, Ph.D.3
1
U.S. Army Tank-automotive and Armaments Command, Advanced Vehicle Technologies, Warren, Michigan
2
Search Technology, Inc.,Technology Policy & Assessment Center, Georgia Tech. Georgia
3School of Management & Economics, Beijing Institute of Technology, Beijing, China
A KDDSE-independent PMML Visualizer
Dietrich Wettschereck
_
University of Applied Sciences, Bonn-Rhein-Sieg, Grantham Allee 20, 53757 Sankt Augustin,
Germany,
dietrich.wettschereck@fh-bonn-rhein-sieg.de
Feature Selection with Labelled and Unlabelled Data
Shaomin Wu and Peter A. Flach
Department of Computer Science, University of Bristol,
Woodland Road, Bristol BS8 1UB, U.K
{shaomin,flach}@cs.bris.ac.uk
Model Selection for Dynamic Processes
Shaomin Wu and Peter A. Flach
Department of Computer Science, University of Bristol,
Woodland Road, Bristol BS8 1UB, U.K
{shaomin,flach}@cs.bris.ac.uk