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
By Bettina Berendt, Bjorn Bringmann, Elisa Fromont, Gemma Garriga and Pauli Miettinen
"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: Bettina BerendtBjorn BringmannElisa FromontGemma GarrigaPauli Miettinen
- Language: English
- Number of Pages: 307
- Publisher: Springer
- Publish Date: 2016
- Publish Location: Cham
- Library of Congress Classification: QA76.9.D343Q334-342Q
“Machine Learning and Knowledge Discovery in Databases” Subjects and Themes:
- Subjects: Machine learning - Data mining - Databases
Edition Specifications:
- Weight: 5.037
Edition Identifiers:
- The Open Library ID: OL34387205M - OL25624397W
- ISBN-13: 9783319461304 - 9783319461311
- All ISBNs: 9783319461304 - 9783319461311
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
Read “Machine Learning and Knowledge Discovery in Databases”:
Read “Machine Learning and Knowledge Discovery in Databases” by choosing from the options below.
Search for “Machine Learning and Knowledge Discovery in Databases” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Machine Learning and Knowledge Discovery in Databases” in Libraries Near You:
Read or borrow “Machine Learning and Knowledge Discovery in Databases” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Machine Learning and Knowledge Discovery in Databases” at a library near you.
Buy “Machine Learning and Knowledge Discovery in Databases” online:
Shop for “Machine Learning and Knowledge Discovery in Databases” on popular online marketplaces.
- Ebay: New and used books.