report of ds 2004 einoshin suzuki yokohama national university, japan october 2, 2004 discovery...
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Report of DS 2004Report of DS 2004
Einoshin Suzuki
Yokohama National University, Japan
October 2, 2004Discovery Science 2004 @ Padova, Italy
Basic Statistics of DS 2004Basic Statistics of DS 2004
• 1 track
• 4 tutorials
• 5 invited talks
• 7th in its series
• 80? participants from 14? countries
• 400 euro early registration fee (with ALT,
lunch included)
• 3245 Springer LNAI
Number of Submissions and Number of Submissions and AcceptancesAcceptances
th conf.submissi
onlon
gregular/
short
7DS-
200480 20 19(20)
6DS-
200380 18 29
5DS-
200276 17 27(29)
4DS-
200144? 30 11
3DS-
200048 15 22
2DS-
199974 26 25
Number of Submissions and Number of Submissions and AcceptancesAcceptances
0
10
20
30
40
50
60
70
80
1 2 3 4 5 61999Tokyo
2000Kyoto
2001D.C.
2002Luebeck
2003Sapporo
2004Padova
reject
regular/short/poster
long
Program CommitteeProgram Committee
Luc De Raedt Germany Ramamohanarao Kotagiri Australia
Tobias Scheffer Germany Achim Hoffmann Australia
Andreas Dress Germany Wray Buntine Finland
Gunter Grieser Germany Tapio Elomaa Finland
Johannes Fuernkranz Germany Hannu Toivonen Finland
Michael May Germany Domenico Sacca' Italy
Fabrice Guillet France Elisa Bertino Italy
Mohand-Said Hacid France Manoranjan Dash Singapore
Djamel A. Zighed France Rudy Setiono Singapore
Vincent Corruble France Ljupco Todorovski Slovenia
Akihiro Yamamoto Japan Saso Dzeroski Slovenia
Masayuki Takeda Japan Eamonn Keogh USA
Hiroshi Motoda Japan Aleksandar Lazarevic USA
Einoshin Suzuki Japan Jan Rauch Czech Republic
Kai Ming Ting Australiahas a PC chair experience(with my limited knowledge)
selected by quality of reviews, history, and recommendations
Review ProcessReview Process
• June 1: (received 80 submissions)
• June 2 – June 6: Bidding phase
• June 7 – June 27: Review phase (8 or 9
papers/PC member, 2 or 3 reviews/paper)
• June 28 – July 2: Discussion phase
• June 6: (notified 20 long acceptance, 20
poster acceptance, 40 rejection)
cf. Microsoft CMT, Independence day
very tight for the PC chair
Review PolicyReview Policy• a long paper: must have high evaluation in
"Important comments to
the authors" and “Comments for the PC"
categories in average
• a regular paper: must have high evaluation
at best In case of conflict between the reviews/discussions and the personalopinion of the PC chair, the reviews/discussions were respected.
Review ResultReview Result
• "your recommendation" category 3.5 - 5.0:
20 long papers + 4 regular papers (at least
50 % downgrade, informative)
• "your recommendation" category 2.3 - 3.3:
16 regular papers + 3 rejected (no positive
comments)
• "your recommendation" category 1.0 - 2.0:
37 rejected (no positive evaluation)
Data Sorted by Countries (1)Data Sorted by Countries (1)
Japan 6 3 4 13
France 2 3 0 5
Italy 2 2 0 4
Australia 2 0 2 4
Germany 2 0 0 2
China 1 3 8 12
Spain 1 1 2 4
Poland 1 1 1 3
USA 1 0 2 3
Canada 1 0 0 1
Finland 1 0 0 1
Korea 0 3 10 13
Russia 0 1 1 2
Catalonia 0 1 0 1
Scotland 0 1 0 1
UK 0 1 0 1
India 0 0 2 2
Romania 0 0 2 2
Algeria 0 0 1 1
Belgium 0 0 1 1
Czech Republic
0 0 1 1
England 0 0 1 1
Slovenia 0 0 1 1
Taiwan, R.O.C.
0 0 1 1
long regular reject total long regular reject total
Data Sorted by Countries (2)Data Sorted by Countries (2)
Germany
1.00 0.00 0.00
Canada 1.00 0.00 0.00
Finland 1.00 0.00 0.00
Italy 0.50 0.50 0.00
Australia
0.50 0.00 0.50
Japan 0.46 0.23 0.31
France 0.40 0.60 0.00
Poland 0.33 0.33 0.33
USA 0.33 0.00 0.67
Spain 0.25 0.25 0.50
China 0.08 0.25 0.67
Catalonia
0.00 1.00 0.00
Scotland
0.00 1.00 0.00
UK 0.00 1.00 0.00
Russia 0.00 0.50 0.50
Korea 0.00 0.23 0.77
India 0.00 0.00 1.00
Romania
0.00 0.00 1.00
Algeria 0.00 0.00 1.00
Belgium
0.00 0.00 1.00
Czech Rep.
0.00 0.00 1.00
England
0.00 0.00 1.00
Slovenia
0.00 0.00 1.00
Taiwan 0.00 0.00 1.00
long regular reject long regular reject
Data Sorted by Subjects (1)Data Sorted by Subjects (1)
data mining10
9 8 27
machine learning 2 1 4 7
knowledge discovery and human interaction 2 0 2 4
knowledge discovery from texts and the Web 1 4 5 10
application of knowledge discovery to natural and social sciences
1 0 4 5
data and knowledge visualization 1 0 1 2
human factors in knowledge discovery 1 0 1 2
logic for/of knowledge discovery 1 0 1 2
Bayesian networks 1 0 0 1
scientific discovery 0 2 3 5
intelligent network agents 0 1 2 3
knowledge discovery by inferences 0 1 0 1
philosophy and psychology of discovery 0 1 0 1
statistical methods and neural networks for knowledge discovery
0 0 5 5
heuristic search 0 0 2 2
long regular reject total
Data Sorted by Subjects (2)Data Sorted by Subjects (2)
Bayesian networks1.0
0 0.00 0.00
knowledge discovery and human interaction0.5
0 0.00 0.50
data and knowledge visualization0.5
0 0.00 0.50
human factors in knowledge discovery0.5
0 0.00 0.50
logic for/of knowledge discovery0.5
0 0.00 0.50
data mining0.3
7 0.33 0.30
machine learning0.2
9 0.14 0.57
application of knowledge discovery to natural and social sciences
0.20
0.00 0.80
knowledge discovery from texts and the Web0.1
0 0.40 0.50
knowledge discovery by inferences0.0
0 1.00 0.00
philosophy and psychology of discovery0.0
0 1.00 0.00
scientific discovery0.0
0 0.40 0.60
intelligent network agents0.0
0 0.33 0.67
statistical methods and neural networks for knowledge discovery
0.00
0.00 1.00
heuristic search0.0
0 0.00 1.00
long regular reject