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Advances in Data Analysis, Data Handling and Business Intelligence

Overview of attention for book
Cover of 'Advances in Data Analysis, Data Handling and Business Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification
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    Chapter 2 Strategies of Model Construction for the Analysis of Judgment Data
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    Chapter 3 Clustering of High-Dimensional Data via Finite Mixture Models
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    Chapter 4 Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data
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    Chapter 5 Kernel Methods for Detecting the Direction of Time Series
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    Chapter 6 Statistical Processes Under Change: Enhancing Data Quality with Pretests
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    Chapter 7 Evaluation Strategies for Learning Algorithms of Hierarchies
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    Chapter 8 Fuzzy Subspace Clustering
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    Chapter 9 Motif-Based Classification of Time Series with Bayesian Networks and SVMs
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    Chapter 10 A Novel Approach to Construct Discrete Support Vector Machine Classifiers
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    Chapter 11 Predictive Classification Trees
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    Chapter 12 Isolated Vertices in Random Intersection Graphs
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    Chapter 13 Strengths and Weaknesses of Ant Colony Clustering
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    Chapter 14 Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach
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    Chapter 15 Advances in Data Analysis, Data Handling and Business Intelligence
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    Chapter 16 Cluster Ensemble Based on Co-occurrence Data
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    Chapter 17 Localized Logistic Regression for Categorical Influential Factors
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    Chapter 18 Clustering Association Rules with Fuzzy Concepts
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    Chapter 19 Clustering with Repulsive Prototypes
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    Chapter 20 Weakly Homoscedastic Constraints for Mixtures of t -Distributions
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    Chapter 21 Bayesian Methods for Graph Clustering
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    Chapter 22 Determining the Number of Components in Mixture Models for Hierarchical Data
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    Chapter 23 Testing Mixed Distributions when the Mixing Distribution Is Known
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    Chapter 24 Classification with a Mixture Model Having an Increasing Number of Components
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    Chapter 25 Nonparametric Fine Tuning of Mixtures: Application to Non-Life Insurance Claims Distribution Estimation
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    Chapter 26 Classification of Text Processing Components: The Tesla Role System
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    Chapter 27 Nonparametric Distribution Analysis for Text Mining
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    Chapter 28 Linear Coding of Non-linear Hierarchies: Revitalization of an Ancient Classification Method
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    Chapter 29 Automatic Dictionary Expansion Using Non-parallel Corpora
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    Chapter 30 Multilingual Knowledge-Based Concept Recognition in Textual Data
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    Chapter 31 A Diversified Investment Strategy Using Autonomous Agents
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    Chapter 32 Classification with Kernel Mahalanobis Distance Classifiers
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    Chapter 33 Identifying Influential Cases in Kernel Fisher Discriminant Analysis by Using the Smallest Enclosing Hypersphere
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    Chapter 34 Self-Organising Maps for Image Segmentation
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    Chapter 35 Image Based Mail Piece Identification Using Unsupervised Learning
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    Chapter 36 Statistical Analysis of Human Body Movement and Group Interactions in Response to Music
  38. Altmetric Badge
    Chapter 37 Applying Statistical Models and Parametric Distance Measures for Music Similarity Search
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    Chapter 38 Finding Music Fads by Clustering Online Radio Data with Emergent Self Organizing Maps
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    Chapter 39 Analysis of Polyphonic Musical Time Series
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    Chapter 40 Hedge Funds and Asset Allocation: Investor Confidence, Diversification Benefits, and a Change in Investment Style Composition
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    Chapter 41 Mixture Hidden Markov Models in Finance Research
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    Chapter 42 Multivariate Comparative Analysis of Stock Exchanges: The European Perspective
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    Chapter 43 Empirical Examination of Fundamental Indexation in the German Market
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    Chapter 44 The Analysis of Power For Some Chosen VaR Backtesting Procedures: Simulation Approach
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    Chapter 45 Extreme Unconditional Dependence Vs. Multivariate GARCH Effect in the Analysis of Dependence Between High Losses on Polish and German Stock Indexes
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    Chapter 46 Is Log Ratio a Good Value for Measuring Return in Stock Investments?
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    Chapter 47 Designing Products Using Quality Function Deployment and Conjoint Analysis: A Comparison in a Market for Elderly People
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    Chapter 48 Analyzing the Stability of Price Response Functions: Measuring the Influence of Different Parameters in a Monte Carlo Comparison
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    Chapter 49 Real Options in the Assessment of New Products
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    Chapter 50 Exploring the Interaction Structure of Weblogs
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    Chapter 51 Analyzing Preference Rankings when There Are Too Many Alternatives
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    Chapter 52 Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach
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    Chapter 53 Dyadic Interactions in Service Encounter: Bayesian SEM Approach
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    Chapter 54 Estimating the Number of Buildings in Germany
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    Chapter 55 Mapping Findspots of Roman Military Brickstamps in Mogontiacum (Mainz) and Archaeometrical Analysis
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    Chapter 56 Analysis of Guarantor and Warrantee Relationships Among Government Officials in the Eighth Century in the Old Capital of Japan by Using Asymmetric Multidimensional Scaling
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    Chapter 57 Analysis of Massive Emigration from Poland: The Model-Based Clustering Approach
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    Chapter 58 Systematics of Short-range Correlations in Eukaryotic Genomes
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    Chapter 59 On Classification of Molecules and Species of Representation Rings
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    Chapter 60 The Precise and Efficient Identification of Medical Order Forms Using Shape Trees
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    Chapter 61 On the Prognostic Value of Gene Expression Signatures for Censored Data
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    Chapter 62 Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data
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    Chapter 63 A Comparison of Algorithms to Find Differentially Expressed Genes in Microarray Data
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    Chapter 64 Data Compression and Regression Based on Local Principal Curves
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    Chapter 65 Optimization of Centrifugal Impeller Using Evolutionary Strategies and Artificial Neural Networks
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    Chapter 66 Advances in Data Analysis, Data Handling and Business Intelligence
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    Chapter 67 Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications
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    Chapter 68 Dynamic Disturbances in BTA Deep-Hole Drilling: Modelling Chatter and Spiralling as Regenerative Effects
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    Chapter 69 Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images
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    Chapter 70 Collective Intelligence Generation from User Contributed Content
  72. Altmetric Badge
    Chapter 71 Computation of the Molenaar Sijtsma Statistic
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Readers on

mendeley
316 Mendeley
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Title
Advances in Data Analysis, Data Handling and Business Intelligence
Published by
ADS, October 2009
DOI 10.1007/978-3-642-01044-6
ISBNs
978-3-64-201043-9, 978-3-64-201044-6
Editors

Fink, Andreas, Lausen, Berthold, Seidel, Wilfried, Ultsch, Alfred

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 10 3%
Brazil 3 <1%
Portugal 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
South Africa 2 <1%
Switzerland 1 <1%
Chile 1 <1%
Germany 1 <1%
Other 4 1%
Unknown 288 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 113 36%
Student > Master 37 12%
Student > Doctoral Student 34 11%
Researcher 28 9%
Professor 18 6%
Other 59 19%
Unknown 27 9%
Readers by discipline Count As %
Business, Management and Accounting 114 36%
Social Sciences 45 14%
Computer Science 41 13%
Psychology 15 5%
Engineering 14 4%
Other 51 16%
Unknown 36 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2024.
All research outputs
#6,119,347
of 23,567,572 outputs
Outputs from ADS
#7,816
of 38,202 outputs
Outputs of similar age
#28,012
of 94,889 outputs
Outputs of similar age from ADS
#56
of 345 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 38,202 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 94,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.