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Machine Learning And Knowledge Discovery In Databases Applied Data Science Track

Applied Data Science
Author: Yuxiao Dong
Publisher: Springer
ISBN: 9783030676667
Size: 39.70 MB
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The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
The The Applied Data Science Workshop
Language: en
Pages: 352
Authors: Alex Galea
Categories: Computers
Type: BOOK - Published: 2020-07-22 - Publisher: Packt Publishing Ltd
The Applied Data Science Workshop explores the key elements and interesting applications of data science techniques with the help of practical examples and interactive exercises. Following a hands-on approach, it allows you the freedom of analyzing data in the Jupyter Notebook effectively using many diverse open-source Python libraries.
Applied Data Science with Python and Jupyter
Language: en
Pages: 192
Authors: Alex Galea
Categories: Computers
Type: BOOK - Published: 2018-10-31 - Publisher: Packt Publishing Ltd
Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts such as SVM, KNN classifiers, and Random Forests Discover how
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
Language: en
Pages: 577
Authors: Frank Hutter, Yuxiao Dong, Georgiana Ifrim, Dunja Mladenić, Craig Saunders, Sofie Van Hoecke
Categories: Application software
Type: BOOK - Published: 2021 - Publisher: Springer Nature
The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE
Language: en
Pages: 516
Authors: Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José A. Lozano
Categories: Data mining
Type: BOOK - Published: 2021 - Publisher: Springer Nature
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Language: en
Pages: 653
Authors: Chkoniya, Valentina
Categories: Computers
Type: BOOK - Published: 2021-06-25 - Publisher: IGI Global
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful
Applied Data Science
Language: en
Pages: 465
Authors: Martin Braschler, Thilo Stadelmann, Kurt Stockinger
Categories: Computers
Type: BOOK - Published: 2019-06-13 - Publisher: Springer
This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement
THE APPLIED DATA SCIENCE WORKSHOP: Prostate Cancer Classification and Recognition Using Machine Learning and Deep Learning with Python GUI
Language: en
Pages: 215
Authors: Vivian Siahaan, Rismon Hasiholan Sianipar
Categories: Computers
Type: BOOK - Published: 2021-11-28 - Publisher: BALIGE PUBLISHING
Prostate cancer is cancer that occurs in the prostate. The prostate is a small walnut-shaped gland in males that produces the seminal fluid that nourishes and transports sperm. Prostate cancer is one of the most common types of cancer. Many prostate cancers grow slowly and are confined to the prostate
THE APPLIED DATA SCIENCE WORKSHOP: Urinary biomarkers Based Pancreatic Cancer Classification and Prediction Using Machine Learning with Python GUI
Language: en
Pages: 193
Authors: Vivian Siahaan
Categories: Computers
Type: BOOK - Published: 2021-12-04 - Publisher: BALIGE PUBLISHING
Pancreatic cancer is an extremely deadly type of cancer. Once diagnosed, the five-year survival rate is less than 10%. However, if pancreatic cancer is caught early, the odds of surviving are much better. Unfortunately, many cases of pancreatic cancer show no symptoms until the cancer has spread throughout the body.
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track
Language: en
Pages: 580
Authors: Yuxiao Dong, Dunja Mladenić, Craig Saunders
Categories: Computers
Type: BOOK - Published: 2021-02-25 - Publisher: Springer
The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online
Product Analytics
Language: en
Pages: 448
Authors: Joanne Rodrigues-Craig
Categories: Big data
Type: BOOK - Published: 2020-08-31 - Publisher: Addison-Wesley Professional
Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for