"Machine Learning and Knowledge Discovery in Databases" - Information and Links:

Machine Learning and Knowledge Discovery in Databases - Info and Reading Options

European Conference, Ecml Pkdd 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part III

"Machine Learning and Knowledge Discovery in Databases" was published by Springer in 2016 - Cham, it has 307 pages and the language of the book is English.


“Machine Learning and Knowledge Discovery in Databases” Metadata:

  • Title: ➤  Machine Learning and Knowledge Discovery in Databases
  • Authors:
  • Language: English
  • Number of Pages: 307
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Cham
  • Library of Congress Classification: QA76.9.D343Q334-342Q

“Machine Learning and Knowledge Discovery in Databases” Subjects and Themes:

Edition Specifications:

  • Weight: 5.037

Edition Identifiers:

AI-generated Review of “Machine Learning and Knowledge Discovery in Databases”:


"Machine Learning and Knowledge Discovery in Databases" Description:

Open Data:

Intro -- Foreword to the ECML PKDD 2016 Demo Track -- Foreword to the ECML PKDD 2016 Industry Track -- Foreword to the ECML PKDD 2016 Nectar Track -- Organization -- Invited Talks Abstracts (Industrial Track) -- Towards Industrial Machine Intelligence -- Machine Learning Challenges at Amazon -- Contents -- Part III -- Demo Track Contributions -- A Tool for Subjective and Interactive Visual Data Exploration -- 1 Introduction -- 2 Subjectively Interesting Projections -- 3 User Interface -- 4 Conclusions -- References -- GMMbuilder -- User-Driven Discovery of Clustering Structure for Bioarchaeology -- 1 Introduction -- 2 GMMbuilder -- 3 Demo Scenario -- References -- Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Tool Overview -- 4 Conclusion -- References -- h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience -- 1 Introduction -- 2 System Overview -- 3 Use Case: Eliciting Hypotheses for the Musk Odor -- References -- INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data -- 1 Introduction -- 2 System Description -- 3 Demo Description -- References -- Coordinate Transformations for Characterization and Cluster Analysis of Spatial Configurations in Fo ... -- Abstract -- 1 Introduction -- 2 Characterization and Analysis of Spatial Configurations -- 3 Example -- References -- Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics -- Abstract -- 1 Introduction -- 2 Approach Summary -- References -- The SPMF Open-Source Data Mining Library Version 2 -- 1 Introduction -- 2 Novel Features -- 3 Conclusion and Future Work -- References -- DANCer: Dynamic Attributed Network with Community Structure Generator -- 1 Introduction -- 2 Model -- 3 Software Overview -- 4 Conclusion -- Reference

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