Advances in Intelligent Data Analysis VII

7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007. Proceedings

  • Editors
  • Michael R. Berthold
  • John Shawe-Taylor
  • Nada Lavrač
Conference proceedings IDA 2007

DOI: 10.1007/978-3-540-74825-0

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4723)

Table of contents (33 papers)

  1. Front Matter
  2. Statistical Data Analysis

    1. Multiplicative Updates for L1–Regularized Linear and Logistic Regression
      Fei Sha, Y. Albert Park, Lawrence K. Saul
      Pages 13-24
    2. Learning to Align: A Statistical Approach
      Elisa Ricci, Tijl de Bie, Nello Cristianini
      Pages 25-36
    3. Transductive Reliability Estimation for Kernel Based Classifiers
      Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
      Pages 37-47
  3. Bayesian Approaches

  4. Clustering Methods

    1. DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
      Alexander Hinneburg, Hans-Henning Gabriel
      Pages 70-80
    2. Visualising the Cluster Structure of Data Streams
      Dimitris K. Tasoulis, Gordon Ross, Niall M. Adams
      Pages 81-92
    3. Relational Topographic Maps
      Alexander Hasenfuss, Barbara Hammer
      Pages 93-105
  5. Ensemble Learning

    1. Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification
      José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales-Bueno
      Pages 106-117
    2. Combining Bagging and Random Subspaces to Create Better Ensembles
      Panče Panov, Sašo Džeroski
      Pages 118-129
    3. Two Bagging Algorithms with Coupled Learners to Encourage Diversity
      Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
      Pages 130-139
  6. Ranking

    1. Relational Algebra for Ranked Tables with Similarities: Properties and Implementation
      Radim Belohlavek, Stanislav Opichal, Vilem Vychodil
      Pages 140-151
    2. A New Way to Aggregate Preferences: Application to Eurovision Song Contests
      Jérémy Besson, Céline Robardet
      Pages 152-162
  7. Trees

    1. Conditional Classification Trees Using Instrumental Variables
      Valerio A. Tutore, Roberta Siciliano, Massimo Aria
      Pages 163-173
    2. Robust Tree-Based Incremental Imputation Method for Data Fusion
      Antonio D’Ambrosio, Massimo Aria, Roberta Siciliano
      Pages 174-183
  8. Sequence/ Time Series Analysis

    1. Recurrent Predictive Models for Sequence Segmentation
      Saara Hyvönen, Aristides Gionis, Heikki Mannila
      Pages 195-206
    2. Sequence Classification Using Statistical Pattern Recognition
      José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
      Pages 207-218

About these proceedings

Introduction

Weareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of “bringing together researchers from diverse disciplines,” we believe we have achieved an excellent balance of presentationsfromthemoretheoretical–bothstatisticalandmachinelearning– to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds.

Keywords

Analysis classification cognition data analysis data mining learning machine learning modeling pattern recognition statistics visualization

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74824-3
  • Online ISBN 978-3-540-74825-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349