Program of IDA 2010

Invited speakers

The program of IDA 2010 will include invited talks by distinguished members of the intelligent data analysis community.

Lise Getoor Lise Getoor is an Associate Professor at the University of Maryland, College Park. She is well-known for work in machine learning and reasoning under uncertainty and also done work in areas such as database management, social network analysis and visual analytics. She has served as senior PC or PC member on many major conferences including AAAI, ICML, IJCAI, KDD, SIGMOD, UAI, VLDB, and WWW. She is an ACM Transactions on Knowledge Discovery and Data Associate Editor, Journal of Artificial Intelligence Research Associate Editor, and Machine Learning Journal Action Editor, she is on the board of the International Machine Learning Society, and she has served on the AAAI Council. She is a recipient of an NSF Career Award, was a Microsoft New Faculty Fellow finalist and was awarded a National Physical Sciences Consortium Fellowship. She received her PhD from Stanford University and her Masters degree from University of California, Berkeley.

David C. Krakauer
David Krakauer is currently professor and chair of the faculty at the Santa Fe Institute in New Mexico. Krakauer was a Wellcome Research Fellow and lecturer at Pembroke College at Oxford University, a long-term member of the Institute for Advanced Study in Princeton, and a professor of evolutionary theory at Princeton University. He holds degrees in biology, mathematics, and a PHD in evolutionary theory. Krakauer's work is concerned with the evolutionary history of information-processing mechanisms in biology, with an emphasis on general principles of information acquisition, storage and transmission, and the role of signaling dynamics in promoting novel, higher-level structures such as language. He is the author of over eighty scientific publications and co-editor of Transitions between Non-Living and Living Matter (2009 MIT Press) and History, Big History and Metahistory (forthcoming 2010 Chicago University Press).

General Program of IDA 2010

The general program consists of invited talks by distinguished members of the intelligent data analysis community and contributd talks by the IDA community members. Poster session presenting late-breaking research will also be held.

time Tue, 18th Wed, 19th Thu, 20th

Fri, 21st

9:00 Registration, coffee Contributed papers 3 Contributed papers 5
9:30
10:00
10:30 opening at 10:45 coffee coffee
11:00 Inivited speaker I Contributed papers 4 Contributed papers 6
11:30
12:00 Lunch
12:30 Lunch Lunch
13:00 Contributed papers 1
13:30 Invited speaker II Contributed papers 7
14:00
14:30 coffee coffee coffee
15:00 Contributed papers 2 IDA panel on BioSciences  
15:30
16:00
16:30   Posters
17:00
17:30 Biosphere tour
18:00 Registration, welcome drinks
18:30
19.00 Dinner Conference dinner in Biosphere

There will be stargazing during Thursday evening, at about 21:00.

Accepted papers

The proceedings of the IDA 2010 symposium are published in LNCS volume 6065 of the Lecture Notes in Computer Science (LNCS) Series.

  • Changing the Focus of the IDA Symposium, Niall M. Adams, Paul R. Cohen and Michael R. Berthold, [SpringerLink]

  • Graph Identification, Lise Getoor, [SpringerLink]

  • Intelligent Data Analysis of Intelligent Systems, David C. Krakauer, Jessica C. Flack, Simon Dedeo, Doyne Farmer and Daniel Rockmore, [SpringerLink]

  • Measurement and Dynamical Analysis of Computer Performance Data, Zachary Alexander, Todd Mytkowicz, Amer Diwan and Elizabeth Bradley, [SpringerLink]

  • Recursive Sequence Mining to Discover Named Entity Relations, Peggy Cellier, Thierry Charnois, Marc Plantevit and Bruno Crémilleux, [SpringerLink]

  • Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies, Michelle Guy, Paul Earle, Chris Ostrum, Kenny Gruchalla and Scott Horvath, [SpringerLink]

  • Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search, Waidah Ismail, Rosline Hassan and Stephen Swift, [SpringerLink]

  • Oracle Coached Decision Trees and Lists, Ulf Johansson, Cecilia Sönströd and Tuve Löfström, [SpringerLink]

  • Statistical Modelling for Data from Experiments with Short Hairpin RNAs, Frank Klawonn, Torsten Wüstefeld and Lars Zender, [SpringerLink]

  • InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance, Arno Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders and Joost Kok, [SpringerLink]

  • Deterministic Finite Automata in the Detection of EEG Spikes and Seizures, Rory A. Lewis, Doron Shmueli and Andrew M. White, [SpringerLink]

  • Bipartite Graphs for Monitoring Clusters Transitions, Márcia Oliveira and João Gama, [SpringerLink]

  • Data Mining for Modeling Chiller Systems in Data Centers, Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma and Naren Ramakrishnan, [SpringerLink]

  • The Applications of Artificial Neural Networks in the Identification of Quantitative Structure-Activity Relationships for Chemotherapeutic Drug Carcinogenicity, Alexander C. Priest, Alexander J. Williamson and Hugh M. Cartwright, [SpringerLink]

  • Image Approach towards Document Mining in Neuroscientific Publications, Jayaprakash Rajasekharan, Ulrike Scharfenberger, Nicolau Gonçalves and Ricardo Vigário, [SpringerLink]

  • Similarity Kernels for Nearest Neighbor-Based Outlier Detection, Ruben Ramirez-Padron, David Foregger, Julie Manuel, Michael Georgiopoulos and Boris Mederos, [SpringerLink]

  • End-to-End Support for Dating Paleolandforms, Laura Rassbach, Ken Anderson, Liz Bradley, Chris Zweck and Marek Zreda, [SpringerLink]

  • Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture, Georg Ruß and Alexander Brenning, [SpringerLink]

  • Selecting the Links in BisoNets Generated from Document Collections, Marc Segond and Christian Borgelt, [SpringerLink]

  • Novelty Detection in Projected Spaces for Structural Health Monitoring, Janne Toivola, Miguel A. Prada and Jaakko Hollmén, [SpringerLink]

  • A Framework for Path-Oriented Network Simplification, Hannu Toivonen, Sébastien Mahler and Fang Zhou, [SpringerLink]

  • A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction, Chen Yu, Thomas G. Smith, Shohei Hidaka, Matthias Scheutz and Linda B. Smith, [SpringerLink]

  • Using CAPTCHAs to Index Cultural Artifacts, Qiang Zhu and Eamonn Keogh, [SpringerLink]


  • IDA 2010 — The Ninth International Symposium on Intelligent Data Analysis, 19-21 May, 2010, http://www.ida2010.org