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From Data and Information Analysis to Knowledge Engineering

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Boosting and ℓ 1 -Penalty Methods for High-dimensional Data with Some Applications in Genomics
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    Chapter 2 Striving for an Adequate Vocabulary: Next Generation ‘Metadata’
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    Chapter 3 Scalable Swarm Based Fuzzy Clustering
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    Chapter 4 SolEuNet: Selected Data Mining Techniques and Applications
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    Chapter 5 Inferred Causation Theory: Time for a Paradigm Shift in Marketing Science?
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    Chapter 6 Text Mining in Action!
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    Chapter 7 Identification of Real-world Objects in Multiple Databases
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    Chapter 8 Kernels for Predictive Graph Mining
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    Chapter 9 PRISMA: Improving Risk Estimation with Parallel Logistic Regression Trees
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    Chapter 10 Latent Class Analysis and Model Selection
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    Chapter 11 An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
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    Chapter 12 On the Use of Some Classification Quality Measure to Construct Mean Value Estimates Under Nonresponse
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    Chapter 13 A Wrapper Feature Selection Method for Combined Tree-based Classifiers
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    Chapter 14 Input Variable Selection in Kernel Fisher Discriminant Analysis
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    Chapter 15 The Wavelet Packet Based Cepstral Features for Open Set Speaker Classification in Marathi
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    Chapter 16 A New Effective Algorithm for Stepwise Principle Components Selection in Discriminant Analysis
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    Chapter 17 A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets
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    Chapter 18 Discriminant Analysis of Polythetically Described Older Palaeolithic Stone Flakes: Possibilities and Questions
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    Chapter 19 Model-based Density Estimation by Independent Factor Analysis
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    Chapter 20 Identifying Multiple Cluster Structures Through Latent Class Models
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    Chapter 21 Gene Selection in Classification Problems via Projections onto a Latent Space
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    Chapter 22 The Recovery Performance of Two-mode Clustering Methods: Monte Carlo Experiment
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    Chapter 23 On the Comparability of Relialibility Measures: Bifurcation Analysis of Two Measures in the Case of Dichotomous Ratings
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    Chapter 24 On Active Learning in Multi-label Classification
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    Chapter 25 From Ranking to Classification: A Statistical View
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    Chapter 26 Assessing Unidimensionality within PLS Path Modeling Framework
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    Chapter 27 The Partial Robust M-approach
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    Chapter 28 Classification in PLS Path Models and Local Model Optimisation
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    Chapter 29 Hierarchical Clustering by Means of Model Grouping
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    Chapter 30 Deepest Points and Least Deep Points: Robustness and Outliers with MZE
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    Chapter 31 Robust Transformations and Outlier Detection with Autocorrelated Data
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    Chapter 32 Robust Multivariate Methods: The Projection Pursuit Approach
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    Chapter 33 Finding Persisting States for Knowledge Discovery in Time Series
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    Chapter 34 Restricted Co-inertia Analysis
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    Chapter 35 Hausman Principal Component Analysis
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    Chapter 36 Nonlinear Time Series Modelling: Monitoring a Drilling Process
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    Chapter 37 Word Length and Frequency Distributions in Different Text Genres
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    Chapter 38 Bootstrapping an Unsupervised Morphemic Analysis
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    Chapter 39 Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes
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    Chapter 40 Learning Ontologies to Improve Text Clustering and Classification
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    Chapter 41 Discovering Communities in Linked Data by Multi-view Clustering
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    Chapter 42 Crosslinguistic Computation and a Rhythm-based Classification of Languages
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    Chapter 43 Using String Kernels for Classification of Slovenian Web Documents
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    Chapter 44 Semantic Decomposition of Character Encodings for Linguistic Knowledge Discovery
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    Chapter 45 Applying Collaborative Filtering to Real-life Corporate Data
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    Chapter 46 Quantitative Text Typology: The Impact of Sentence Length
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    Chapter 47 A Hybrid Machine Learning Approach for Information Extraction from Free Text
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    Chapter 48 Text Classification with Active Learning
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    Chapter 49 Towards Structure-sensitive Hypertext Categorization
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    Chapter 50 Evaluating the Performance of Text Mining Systems on Real-world Press Archives
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    Chapter 51 Part-of-Speech Induction by Singular Value Decomposition and Hierarchical Clustering
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    Chapter 52 Near Similarity Search and Plagiarism Analysis
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    Chapter 53 Objective Function-based Discretization
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    Chapter 54 Understanding and Controlling the Membership Degrees in Fuzzy Clustering
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    Chapter 55 Autonomous Sensor-based Landing Systems: Fusion of Vague and Incomplete Information by Application of Fuzzy Clustering Techniques
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    Chapter 56 Outlier Preserving Clustering for Structured Data Through Kernels
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    Chapter 57 Classification-relevant Importance Measures for the West German Business Cycle
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    Chapter 58 The Classification of Local and Branch Labour Markets in the Upper Silesia
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    Chapter 59 An Overview of Artificial Life Approaches for Clustering
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    Chapter 60 Design Problems of Complex Economic Experiments
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    Chapter 61 Traffic Sensitivity of Long-term Regional Growth Forecasts
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    Chapter 62 Spiralling in BTA Deep-hole Drilling: Models of Varying Frequencies
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    Chapter 63 Analysis of the Economic Development of Districts in Poland as a Basis for the Framing of Regional Policies
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    Chapter 64 The Classification of Candlestick Charts: Laying the Foundation for Further Empirical Research
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    Chapter 65 Modeling and Estimating the Credit Cycle by a Probit-AR(1)-Process
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    Chapter 66 Comparing and Selecting SVM-Kernels for Credit Scoring
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    Chapter 67 Value at Risk Using the Principal Components Analysis on the Polish Power Exchange
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    Chapter 68 A Market Basket Analysis Conducted with a Multivariate Logit Model
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    Chapter 69 Solving and Interpreting Binary Classification Problems in Marketing with SVMs
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    Chapter 70 Modeling the Nonlinear Relationship Between Satisfaction and Loyalty with Structural Equation Models
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    Chapter 71 Job Choice Model to Measure Behavior in a Multi-stage Decision Process
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    Chapter 72 Semiparametric Stepwise Regression to Estimate Sales Promotion Effects
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    Chapter 73 Implications of Probabilistic Data Modeling for Mining Association Rules
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    Chapter 74 Copula Functions in Model Based Clustering
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    Chapter 75 Attribute-aware Collaborative Filtering
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    Chapter 76 Towards a Flexible Framework for Open Source Software for Handwritten Signature Analysis
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    Chapter 77 Multimodal Biometric Authentication System Based on Hand Features
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    Chapter 78 Labelling and Authentication for Medical Imaging Through Data Hiding
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    Chapter 79 Hand-geometry Recognition Based on Contour Landmarks
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    Chapter 80 A Cross-cultural Evaluation Framework for Behavioral Biometric User Authentication
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    Chapter 81 On External Indices for Mixtures: Validating Mixtures of Genes
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    Chapter 82 Tests for Multiple Change Points in Binary Markov Sequences
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    Chapter 83 UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data
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    Chapter 84 A Ridge Classification Method for High-dimensional Observations
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    Chapter 85 Assessing the Trustworthiness of Clustering Solutions Obtained by a Function Optimization Scheme
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    Chapter 86 Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
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    Chapter 87 The Assessment of Second Primary Cancers (SPCs) in a Series of Splenic Marginal Zone Lymphoma (SMZL) Patients
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    Chapter 88 Heart Rate Classification Using Support Vector Machines
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    Chapter 89 Visual Mining in Music Collections
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    Chapter 90 Modeling Memory for Melodies
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    Chapter 91 Parameter Optimization in Automatic Transcription of Music
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    Chapter 92 GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies
Attention for Chapter 47: A Hybrid Machine Learning Approach for Information Extraction from Free Text
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Chapter title
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Chapter number 47
Book title
From Data and Information Analysis to Knowledge Engineering
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/3-540-31314-1_47
Book ISBNs
978-3-54-031313-7, 978-3-54-031314-4
Authors

Günter Neumann, Neumann, Günter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 5 83%
Unknown 1 17%