Advances in Intelligent Data Analysis IX: 9th International Symposium, Ida 2010, Tucson, Az, Usa, May 19-21, 2010, Proceedings

ISBN-13: 9783642130618 / Angielski / Miękka / 2010 / 260 str.

Paul R. Cohen; Niall Adams; Michael R. Berthold

Opis

The background to IDA 2010, the 9th International Symposium on Intelligent DataAnalysis(IDA), is ratherunusual. Previously, thesymposiawereheldbi- nially at European venues. Over this time, the IDA Symposium had established an identity, a dedicated group of Program Committee members, and a regular audience. However, this success had come at a cost to the original ambitions for the symposium concerned with interfacing AI, statistics and computer science for important and di?cult real-world data analysis problems being comp- mised in favor of more standard data mining content. IDA 2010 was organized explicitly to re-align the IDA Symposia series with a set of objectives evolved from the original ambitions. This should be construed not as a criticism of r- tine data mining research but rather as an admission that the IDA symposium had taken the path of least resistance with respect to the call for papers and the reviewing process. This is the proceedings volume of IDA 2010, a special event held only a year after the eighth symposium in an attempt to revitalize the area of IDA. There were two major changes compared to previous symposia. First, the Call for - pers (CfP) was completely rewritten, placing great emphasis on algorithms and systems thatsupportmodelling andanalysisofcomplex real-worldsystems. - reover, the CfP explicitly discouraged submissions that might be characterized as incrementaladvances indata mining algorithms. Second, the reviewing- chanism was extended to include a senior ProgrammeCommittee, in response to perceived shortcomings in the existing reviewing process."

Spis treści

Changing the Focus of the IDA Symposium.- Changing the Focus of the IDA Symposium.- Invited Papers.- Graph Identification.- Intelligent Data Analysis of Intelligent Systems.- Selected Contributions.- Measurement and Dynamical Analysis of Computer Performance Data.- Recursive Sequence Mining to Discover Named Entity Relations.- Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies.- Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search.- Oracle Coached Decision Trees and Lists.- Statistical Modelling for Data from Experiments with Short Hairpin RNAs.- InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance.- Deterministic Finite Automata in the Detection of EEG Spikes and Seizures.- Bipartite Graphs for Monitoring Clusters Transitions.- Data Mining for Modeling Chiller Systems in Data Centers.- The Applications of Artificial Neural Networks in the Identification of Quantitative Structure-Activity Relationships for Chemotherapeutic Drug Carcinogenicity.- Image Approach towards Document Mining in Neuroscientific Publications.- Similarity Kernels for Nearest Neighbor-Based Outlier Detection.- End-to-End Support for Dating Paleolandforms.- Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture.- Selecting the Links in BisoNets Generated from Document Collections.- Novelty Detection in Projected Spaces for Structural Health Monitoring.- A Framework for Path-Oriented Network Simplification.- A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction.- Using CAPTCHAs to Index Cultural Artifacts.