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Machine Learning and Knowledge Discovery in Databases

Overview of attention for book
Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Tool for Subjective and Interactive Visual Data Exploration
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    Chapter 2 GMMbuilder – User-Driven Discovery of Clustering Structure for Bioarchaeology
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    Chapter 3 Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series
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    Chapter 4 h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience
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    Chapter 5 INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data
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    Chapter 6 Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Football
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    Chapter 7 Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics
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    Chapter 8 The SPMF Open-Source Data Mining Library Version 2
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    Chapter 9 DANCer: Dynamic Attributed Network with Community Structure Generator
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    Chapter 10 Topy: Real-Time Story Tracking via Social Tags
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    Chapter 11 Ranking Researchers Through Collaboration Pattern Analysis
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    Chapter 12 Learning Language Models from Images with ReGLL
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    Chapter 13 Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering
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    Chapter 14 SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series
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    Chapter 15 Finding Incident-Related Social Media Messages for Emergency Awareness
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    Chapter 16 TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle
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    Chapter 17 Using Social Media to Promote STEM Education: Matching College Students with Role Models
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    Chapter 18 Concept Neurons – Handling Drift Issues for Real-Time Industrial Data Mining
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    Chapter 19 PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations
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    Chapter 20 Finding Dynamic Co-evolving Zones in Spatial-Temporal Time Series Data
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    Chapter 21 ECG Monitoring in Wearable Devices by Sparse Models
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    Chapter 22 Do Street Fairs Boost Local Businesses? A Quasi-Experimental Analysis Using Social Network Data
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    Chapter 23 Intelligent Urban Data Monitoring for Smart Cities
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    Chapter 24 Automatic Detection of Non-Biological Artifacts in ECGs Acquired During Cardiac Computed Tomography
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    Chapter 25 Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
  27. Altmetric Badge
    Chapter 26 Engine Misfire Detection with Pervasive Mobile Audio
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    Chapter 27 From Plagiarism Detection to Bible Analysis: The Potential of Machine Learning for Grammar-Based Text Analysis
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    Chapter 28 A KDD Process for Discrimination Discovery
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    Chapter 29 Personality-Based User Modeling for Music Recommender Systems
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    Chapter 30 Time and Again:
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    Chapter 31 Resource-Aware Steel Production Through Data Mining
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    Chapter 32 Learning from Software Project Histories
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    Chapter 33 Practical Bayesian Inverse Reinforcement Learning for Robot Navigation
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    Chapter 34 Machine Learning Challenges for Single Cell Data
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    Chapter 35 Multi-target Classification: Methodology and Practical Case Studies
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    Chapter 36 Query Log Mining for Inferring User Tasks and Needs
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    Chapter 37 Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns
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    Chapter 38 Machine Learning for Crowdsourced Spatial Data
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    Chapter 39 Local Exceptionality Detection on Social Interaction Networks
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
10 X users

Citations

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7 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Machine Learning and Knowledge Discovery in Databases
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46131-1
ISBNs
978-3-31-946130-4, 978-3-31-946131-1
Editors

Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 25%
Unspecified 2 25%
Student > Ph. D. Student 2 25%
Student > Master 1 13%
Professor 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 63%
Engineering 2 25%
Unspecified 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 May 2022.
All research outputs
#5,374,479
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#1,527
of 8,229 outputs
Outputs of similar age
#83,914
of 405,194 outputs
Outputs of similar age from Lecture notes in computer science
#199
of 585 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 81% 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 405,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 585 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.