Download KDNet (NOE) , KDubiq (CA) and Beyond

KDNet (NOE) , KDubiq (CA) and Beyond
Codrina Lauth
Fraunhofer AIS, Sankt Augustin
and
Institute for Computer Science III, University Bonn
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Ina Lauth, Fraunhofer AIS, St. Augustin, Germany
Outline
ƒ
Fraunhofer AIS and University
Bonn will host ICML/ILP 2005
7-13 August 2005
ƒ
EU Projects: Networking and
Activities Coordination
ƒ
from KDNet to KDubiq
ƒ
Text Mining Research
Activities
Lastname
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Machine Learning and Data Mining in Bonn
ƒ
University of Bonn, Computer Science III: 15 researchers
-
ƒ
Machine learning and Data Mining Groups (Stefan Wrobel)
Algorithmic Learning Theory (Marek Karpinski)
Machine learning in robotics (Armin Cremers)
Fraunhofer AIS: 10 researchers,
20 project engineers
-
Knowledge Discovery Group
(Michael May, Stefan Wrobel)
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Interactive Discovery and
Visualization Group (Hans Voss)
-
Lastname
Robotics and Reinforcement
Learning Group (Joachim Hertzberg,
Thomas Christaller)
Embedded Data Mining
Machine Learning,
ILP
Grid Computing
Databases
Spatial Knowledge Discovery
Statistics
Text-Mining
Audio-Mining
Video-Mining
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Knowledge Discovery Team @ AIS
(Michael May, Stefan Wrobel)
ƒRepresentation of knowledge (methods for
complex, structured and/or multi-relational data)
ƒScalability (run time complexity,
parallelization and distribution, sampling)
ƒApplication domains (Spatial-,Text-, Multimedia-,
Web-Mining, Data Warehouses)
Text Mining Research @ KD
ƒIE, NER, term clustering with SVM, PLSI, LDA
ƒOntology learning, multimedia archives
ƒautom. extraction of semantic relations
ƒLing. methods: semantic tagging/parsing for ontology
mapping/extraction (using graphs methods)
ƒVisualization: Semantic Maps
ƒGroupware- Applications
Lastname
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Sample of Data Mining Projects @ KD
ƒ FAW (20
04-2006): M
odelling of
evaluation
frequencie
of poster a
s for the
dvertiseme
n
t
ƒ SPR (200
4 -2
frequencies 005): Extrapolation an
d shaping o
for cities of
f traffic
Switzerland
based on G
ƒ REWE (2
PS data
004- …,): D
ata Mining
manageme
for assortm
nt
ent
ƒ Vodafon
e (2004-20
05): Data M
planning
ining for ra
dio network
ƒ SIMDAT
(EU 2004-2
008) – Data
computing
Mining and
for complex
Grid
industrial a
pplications
ƒ KDNet (E
U2
Discovery N 002-2004) – Europea
n Knowledg
etwork of E
e
xcellence
ƒ Diastasis
(EU 2003-2
004) – Web
of statistica
Mining and
l indicators
extraction
ƒ Rolex (In
dustry, 200
4) –
imitation an
d plagiarism Study for recognition
of
based on T
the field of
ext Mining
Ebay
methods in
ƒ Mediaran
k (Industry,
2003-2005
commercia
) – Evaluati
l text minin
on and of
g systems
(
w
it
h
PAN , W D R
ƒ PI-Avida
(BMBF, 20
)
0
1-2003) – T
Video- Min
ext-, Audio
ing
- and
Lastname
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KDNet vs KDubiq
KDNet (NOE)
KDubiq (CA)
900 000 EUR
1 000 000 EUR
2002-2004
Oct 2005-2007
36 months (130+ active members)
30 months
WP2 – Blueprint editing (5 PM)
WP3 – Clustering Projects (4 PM)
WP3 – Research Project Forum (Maarten WP4 – Online Information Services (AIS) (4 PM)
van Someren, Dunja Mladenic)
WP4 – eTraining and Virtual Innovation Center
(4 PM)
WP4 – Online Information Services
(Stefan Wrobel)
WP6 – Areas Integration (Donato Malerba),
3 PM (WG: 12 PM)
WP5 – Training (Katharina Morik)
WP7 – Application Transfer (DaimlerChrysler)
WP6 – Industrial Workshops
(4 PM)
(DaimlerChrysler)
WP 8 – Evaluation, Standards, Benchmarking
WP7 – Public Sector Workshops (Willi
(Michele Sebag) (2 PM)
Klösgen,Donato Malerba)
WP 1+9 – AIS (PM 30)
WP8 – Scientific Sector (Neighboring
Disciplines) (Arno Siebes)
WP2 – Trends in Research (Lorenza
Saitta, Jaakko Hollmen)
WP9 – Dissemination (Ina Lauth)
Lastname
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WP6: Areas Integration
Application
Distributed
Technology
Learning
Data Types
Security
HCI,Cognitive
Modelling
WP2: Blueprint Editing
WP3: Project Clustering
WP4: Portal
WP5: Training
WP7: Transfer
WP8: Standards
WP9: Blueprint Dissemination
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Ina Lauth, Fraunhofer AIS, St. Augustin, Germany
Working Group
WG Coordinator
Country
Application Environments
Hillol Kargupta
Gholamreza Nakhaeizadeh
USA
Germany
Ubiquitous Technologies
Domenico Talia
Assaf Schuster
Georgios Paliouras
Italy
Israel
Greece
Learning Components
Michèle Sebag
Stefan Wrobel
France
Germany
Data Types
Pavel Brazdil/ Joao Gama
Gerd Stumme/Myra Spiliopoulou
Portugal
Germany
Security & Privacy
Yücel Saygin
Fosca Giannotti
Turkey
Italy
HCI & Cognitive Modelling Bettina Berendt
Ernestina Menasalvas
Eduardo Alonso
Lastname
Germany
Spain
UK
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KDubiq (not attributed funding)
Category
Travel Costs
Euro
Total EUR
120,000
Student Exchange
60,000
Workshop organization
70,000
Printing
10,000
Conference Support
45,000
Others
Lastname
7,000
312,000
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KDNet vs KDubiq
Lastname
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Challenge: Data Mining in distributed information systems
Industrial Use Case Daimler Chrysler:
Text repositories for CRM, quality management with millions of documents and
constant inflow of new documents.
High amount of data, distributed and local
accrue, organizational barriers
⇒ Centralized data management or text
repositories almost impossible
Goal: Intelligent distribution of the learning
and classification process
Methods:
• Text Mining,
• Ontology Learning,
• Distribution data management, data access, preprocessing, classification, learning
• GRID Computing
Lastname
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