Order Total (1 Item Items):
Shipping Destination:
Koutra Danai (87 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (87)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (75)
- As New, Fine or Near Fine (5)
- Very Good or Good (5)
- Fair or Poor (No further results match this refinement)
- As Described (2)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (87)
Collectible Attributes
- First Edition (8)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (34)
- Not Print on Demand (63)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
-
-
Condition: As New. Unread book in perfect condition.
-
Machine Learning and Knowledge Discovery in Databases: Research Track (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031434234 ISBN 13: 9783031434235
First Edition
Paperback. Condition: new. Paperback. The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: Robustness; Time Series; Transfer and Multitask Learning.Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
Individual and Collective Graph Mining: Principles, Algorithms, and Applications (Synthesis Lectures on Data Mining and Knowledge Discovery)
Language: English
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1681730391 ISBN 13: 9781681730394
Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
-
-
Individual and Collective Graph Mining : Principles, Algorithms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18â"22, 2023, . I (Lecture Notes in Computer Science, 14169)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Good. minor wear and creasing cover warped.
-
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18â"22, 2023, . (Lecture Notes in Artificial Intelligence)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Good. minor wear and creasing.
-
Individual and Collective Graph Mining : Principles, Algorithms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18â"22, 2023, . II (Lecture Notes in Computer Science, 14170)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
-
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18â"22, 2023, . IV (Lecture Notes in Artificial Intelligence)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
-
-
Machine Learning and Knowledge Discovery in Databases: Research Track
Language: English
Published by Springer International Publishing AG, 2023
ISBN 10: 303143420X ISBN 13: 9783031434204
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Machine Learning and Knowledge Discovery in Databases: Research Track (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 303143420X ISBN 13: 9783031434204
First Edition
Paperback. Condition: new. Paperback. The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: Robustness; Time Series; Transfer and Multitask Learning.Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
-
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Machine Learning and Knowledge Discovery in Databases: Research Track (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031434145 ISBN 13: 9783031434143
First Edition
Paperback. Condition: new. Paperback. The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: Robustness; Time Series; Transfer and Multitask Learning.Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Machine Learning and Knowledge Discovery in Databases - Research Track : European Conference, Ecml Pkdd 2023, Turin, Italy, September 18-22, 2023, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Condition: As New. Unread book in perfect condition.
-
Condition: NEW.
-
Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, ... IV (Lecture Notes in Artificial Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
-
Machine Learning and Knowledge Discovery in Databases: Research Track (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031434110 ISBN 13: 9783031434112
First Edition
Paperback. Condition: new. Paperback. The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows:Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Machine Learning and Knowledge Discovery in Databases - Research Track: European Conference, Ecml Pkdd 2023, Turin, Italy, September 18-22, 2023, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031434234 ISBN 13: 9783031434235
Paperback. Condition: Brand New. 513 pages. 9.25x6.10x1.04 inches. In Stock.
-
-
Taschenbuch. Condition: Neu. Individual and Collective Graph Mining | Principles, Algorithms, and Applications | Danai Koutra (u. a.) | Taschenbuch | Synthesis Lectures on Data Mining and Knowledge Discovery | xi | Englisch | 2017 | Springer | EAN 9783031007835 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Machine Learning and Knowledge Discovery in Databases - Research Track : European Conference, Ecml Pkdd 2023, Turin, Italy, September 18-22, 2023, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Condition: New. pp. 764.
