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Advances in Intelligent Data Analysis XIV

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Cover of 'Advances in Intelligent Data Analysis XIV'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Analytics and Optimisation for Assessing a Ride Sharing System
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    Chapter 2 Constraint-Based Querying for Bayesian Network Exploration
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    Chapter 3 Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
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    Chapter 4 Segregation Discovery in a Social Network of Companies
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    Chapter 5 A First-Order-Logic Based Model for Grounded Language Learning
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    Chapter 6 A Parallel Distributed Processing Algorithm for Image Feature Extraction
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    Chapter 7 Modeling Concept Drift: A Probabilistic Graphical Model Based Approach
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    Chapter 8 Diversity-Driven Widening of Hierarchical Agglomerative Clustering
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    Chapter 9 Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
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    Chapter 10 Time Series Classification with Representation Ensembles
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    Chapter 11 Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
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    Chapter 12 On Binary Reduction of Large-Scale Multiclass Classification Problems
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    Chapter 13 Probabilistic Active Learning in Datastreams
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    Chapter 14 Implicitly Constrained Semi-supervised Least Squares Classification
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    Chapter 15 Diagonal Co-clustering Algorithm for Document-Word Partitioning
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    Chapter 16 I-Louvain: An Attributed Graph Clustering Method
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    Chapter 17 Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?
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    Chapter 18 Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
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    Chapter 19 Using Entropy as a Measure of Acceptance for Multi-label Classification
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    Chapter 20 Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
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    Chapter 21 Exploratory Topic Modeling with Distributional Semantics
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    Chapter 22 Assigning Geo-relevance of Sentiments Mined from Location-Based Social Media Posts
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    Chapter 23 Continuous and Discrete Deep Classifiers for Data Integration
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    Chapter 24 A Bayesian Approach for Identifying Multivariate Differences Between Groups
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    Chapter 25 Automatically Discovering Offensive Patterns in Soccer Match Data
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    Chapter 26 Fast Algorithm Selection Using Learning Curves
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    Chapter 27 Optimally Weighted Cluster Kriging for Big Data Regression
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    Chapter 28 Slower Can Be Faster: The iRetis Incremental Model Tree Learner
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    Chapter 29 VoQs: A Web Application for Visualization of Questionnaire Surveys
Attention for Chapter 21: Exploratory Topic Modeling with Distributional Semantics
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Chapter title
Exploratory Topic Modeling with Distributional Semantics
Chapter number 21
Book title
Advances in Intelligent Data Analysis XIV
Published by
Springer, Cham, October 2015
DOI 10.1007/978-3-319-24465-5_21
Book ISBNs
978-3-31-924464-8, 978-3-31-924465-5
Authors

Samuel Rönnqvist

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Doctoral Student 3 14%
Student > Bachelor 2 10%
Lecturer 2 10%
Student > Master 2 10%
Other 4 19%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 14 67%
Linguistics 2 10%
Business, Management and Accounting 2 10%
Social Sciences 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 1 5%