Title Data analysis, machine learning and knowledge discovery / Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning, editors

Published Cham ; New York : Springer, [2014]

Click on the following:
Springer eBooks
Springer Mathematics and Statistics eBooks

Copies

Description 1 online resource (xxi, 470 pages) : illustrations (some color), map Series Studies in Classification, Data Analysis, and Knowledge Organization Studies in classification, data analysis, and knowledge organization. Contents 880-01 Part II. AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks -- Implementing Inductive Concept Learning For Cooperative Query Answering / Maheen Bakhtyar, Nam Dang, Katsumi Inoue and Lena Wiese -- Clustering Large Datasets Using Data Stream Clustering Techniques / Matthew Bolaños, John Forrest and Michael Hahsler -- Feedback Prediction for Blogs / Krisztian Buza -- Spectral Clustering: Interpretation and Gaussian Parameter / Sandrine Mouysset, Joseph Noailles, Daniel Ruiz and Clovis Tauber -- On the Problem of Error Propagation in Classifier Chains for Multi-label Classification / Robin Senge, Juan José del Coz and Eyke Hüllermeier -- Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition / Igor Vatolkin, Bernd Bischl, Günter Rudolph and Claus Weihs 880-01/(S Part I. AREA Statistics and Data Analysis: Classification, Cluster Analysis, Factor Analysis and Model Selection -- On Limiting Donor Usage for Imputation of Missing Data via Hot Deck Methods / Udo Bankhofer and Dieter William Joenssen -- The Most Dangerous Districts of Dortmund / Tim Beige, Thomas Terhorst, Claus Weihs and Holger Wormer -- Benchmarking Classification Algorithms on High-Performance Computing Clusters / Bernd Bischl, Julia Schiffner and Claus Weihs -- Visual Models for Categorical Data in Economic Research / Justyna Brzezińska -- How Many Bee Species? A Case Study in Determining the Number of Clusters / Christian Hennig -- Two-Step Linear Discriminant Analysis for Classification of EEG Data / Nguyen Hoang Huy, Stefan Frenzel and Christoph Bandt -- Predictive Validity of Tracking Decisions: Application of a New Validation Criterion / Florian Klapproth, Sabine Krolak-Schwerdt, Thomas Hörstermann and Romain Martin -- DD α -Classification of Asymmetric and Fat-Tailed Data / Tatjana Lange, Karl Mosler and Pavlo Mozharovskyi -- The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensional Objects / Tatjana Lange and Pavlo Mozharovskyi -- Support Vector Machines on Large Data Sets: Simple Parallel Approaches / Oliver Meyer, Bernd Bischl and Claus Weihs -- Soft Bootstrapping in Cluster Analysis and Its Comparison with Other Resampling Methods / Hans-Joachim Mucha and Hans-Georg Bartel -- Dual Scaling Classification and Its Application in Archaeometry / Hans-Joachim Mucha, Hans-Georg Bartel and Jens Dolata -- Gamma-Hadron-Separation in the MAGIC Experiment / Tobias Voigt, Roland Fried, Michael Backes and Wolfgang Rhode Part III. AREA Data Analysis and Classification in Marketing -- The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems / Michel Ballings and Dirk Van den Poel -- Multinomial SVM Item Recommender for Repeat-Buying Scenarios / Christina Lichtenthäler and Lars Schmidt-Thieme -- Predicting Changes in Market Segments Based on Customer Behavior / Anneke Minke and Klaus Ambrosi -- Symbolic Cluster Ensemble based on Co-Association Matrix versus Noisy Variables and Outliers / Marcin Pełka -- Image Feature Selection for Market Segmentation: A Comparison of Alternative Approaches / Susanne Rumstadt and Daniel Baier -- The Validity of Conjoint Analysis: An Investigation of Commercial Studies Over Time / Sebastian Selka, Daniel Baier and Peter Kurz -- Solving Product Line Design Optimization Problems Using Stochastic Programming / Sascha Voekler and Daniel Baier Part IV. AREA Data Analysis in Finance -- On the Discriminative Power of Credit Scoring Systems Trained on Independent Samples / Miguel Biron and Cristián Bravo -- A Practical Method of Determining Longevity and Premature-Death Risk Aversion in Households and Some Proposals of Its Application / Lukasz Feldman, Radoslaw Pietrzyk and Pawel Rokita -- Correlation of Outliers in Multivariate Data / Bartosz Kaszuba -- Value-at-Risk Backtesting Procedures Based on Loss Functions: Simulation Analysis of the Power of Tests / Krzysztof Piontek Part V. AREA Data Analysis in Biostatistics and Bioinformatics -- Rank Aggregation for Candidate Gene Identification / Andre Burkovski, Ludwig Lausser, Johann M. Kraus and Hans A. Kestler -- Unsupervised Dimension Reduction Methods for Protein Sequence Classification / Dominik Heider, Christoph Bartenhagen, J. Nikolaj Dybowski, Sascha Hauke, Martin Pyka and Daniel Hoffman -- Three Transductive Set Covering Machines / Florian Schmid, Ludwig Lausser and Hans A. Kestler Part VI. AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology -- Tone Onset Detection Using an Auditory Model / Nadja Bauer, Klaus Friedrichs, Dominik Kirchhoff, Julia Schiffner and Claus Weihs -- A Unifying Framework for GPR Image Reconstruction / Andre Busche, Ruth Janning, Tomáš Horváth and Lars Schmidt-Thieme -- Recognition of Musical Instruments in Intervals and Chords / Markus Eichhoff and Claus Weihs -- ANOVA and Alternatives for Causal Inferences / Sonja Hahn -- Testing Models for Medieval Settlement Location / Irmela Herzog -- Supporting Selection of Statistical Techniques / Kay F. Hildebrand -- Alignment Methods for Folk Tune Classification / Ruben Hillewaere, Bernard Manderick and Darrell Conklin -- Comparing Regression Approaches in Modelling Compensatory and Noncompensatory Judgment Formation / Thomas Hörstermann and Sabine Krolak-Schwerdt -- Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model / Daniel Kasper, Ali Ünlü and Bernhard Gschrey -- Confidence Measures in Automatic Music Classification / Hanna Lukashevich -- Using Latent Class Models with Random Effects for Investigating Local Dependence / Matthias Trendtel, Ali Ünlü, Daniel Kasper and Sina Stubben -- The OECD's Programme for International Student Assessment (PISA) Study: A Review of Its Basic Psychometric Concepts / Ali Ünlü, Daniel Kasper, Matthias Trendtel and Michael Schurig -- Music Genre Prediction by Low-Level and High-Level Characteristics / Igor Vatolkin, Günther Rötter and Claus Weihs Part VII. LIS WORKSHOP: Workshop on Classification and Subject Indexing in Library and Information Science -- Using Clustering Across Union Catalogues to Enrich Entries with Indexing Information / Magnus Pfeffer -- Text Mining for Ontology Construction / Silke Rehme, Michael Schwantner -- Data Enrichment in Discovery Systems Using Linked Data / Dominique Ritze and Kai Eckert.₉ AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection -- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks -- AREA Data Analysis and Classification in Marketing -- AREA Data Analysis in Finance -- AREA Data Analysis in Biostatistics and Bioinformatics -- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.-LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science Summary Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012 Bibliography Includes bibliographical references and indexes Notes Print version record Subject Machine learning -- Congresses Data mining -- Congresses Computational intelligence -- Congresses Artificial intelligence. Artificial Intelligence artificial intelligence. COMPUTERS -- General. Artificial intelligence Computational intelligence Data mining Machine learning Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Spiliopoulou, Myra, editor. Schmidt-Thieme, Lars, 1970- editor. Janning, Ruth, editor Gesellschaft für Klassifikation. Jahrestagung (36th : 2012 : University of Hildesheim) ISBN 9783319015958 3319015958 331901594X 9783319015941

  Permalink