Machine learning for intelligent decision science:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2020]
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| Schriftenreihe: | Algorithms for intelligent systems
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xii, 209 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811536885 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents 1 2 Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India................................................................................. Paramita Roy, Rabin Chakrabortty, Indrajit Chowdhuri, Sadhan Malik, Biswajit Das, and Subodh Chandra Pal Classification of ECG Heartbeat Using Deep Convolutional Neural Network................... Saroj Kumar Pandey, Rekh Ram Janghel, and Kshitiz Varma 3 Breast Cancer Identification and Diagnosis Techniques................ V. Anji Reddy and Badai Soni 4 5 6 Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm............................................................. V. Dinesh Reddy, G. R. Gangadharan, G. S. V. R. K. Rao, and Marco Aiello Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making........................................................................................... Sheba Selvam, Blessy Selvam, and J. Naveen Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study ............................................................... Hemant H. Kumar, Tanisha Sabherwal, Nimish Bongale, and Mydhili K. Nair 1 27 49 71 93 115 ix
x Contents 7 MuIti-agent-Based Systems in Machine Learning and Ite Practical Case Studies................................................................. 153 K. R. Shrinidhi, Sneha V, Vybhav Jain, and Mydhili K. Nair 8 Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images ..................................................................................................... Golia Madhu 191
Algorithms for Intelligent Systems Series Editors: Jagdish Grand Bansal · Kusum Deep · Atulya K. Nagar Jitendra Kumar Rout -Minakhi Rout Himansu Das Editors Machine Learning for Intelligent Decision Science The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making:
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| adam_txt |
Contents 1 2 Development of Different Machine Learning Ensemble Classifier for Gully Erosion Susceptibility in Gandheswari Watershed of West Bengal, India. Paramita Roy, Rabin Chakrabortty, Indrajit Chowdhuri, Sadhan Malik, Biswajit Das, and Subodh Chandra Pal Classification of ECG Heartbeat Using Deep Convolutional Neural Network. Saroj Kumar Pandey, Rekh Ram Janghel, and Kshitiz Varma 3 Breast Cancer Identification and Diagnosis Techniques. V. Anji Reddy and Badai Soni 4 5 6 Energy-Efficient Resource Allocation in Data Centers Using a Hybrid Evolutionary Algorithm. V. Dinesh Reddy, G. R. Gangadharan, G. S. V. R. K. Rao, and Marco Aiello Root-Cause Analysis Using Ensemble Model for Intelligent Decision-Making. Sheba Selvam, Blessy Selvam, and J. Naveen Spider Monkey Optimization Algorithm in Data Science: A Quantifiable Objective Study . Hemant H. Kumar, Tanisha Sabherwal, Nimish Bongale, and Mydhili K. Nair 1 27 49 71 93 115 ix
x Contents 7 MuIti-agent-Based Systems in Machine Learning and Ite Practical Case Studies. 153 K. R. Shrinidhi, Sneha V, Vybhav Jain, and Mydhili K. Nair 8 Computer Vision and Machine Learning Approach for Malaria Diagnosis in Thin Blood Smears from Microscopic Blood Images . Golia Madhu 191
Algorithms for Intelligent Systems Series Editors: Jagdish Grand Bansal · Kusum Deep · Atulya K. Nagar Jitendra Kumar Rout -Minakhi Rout Himansu Das Editors Machine Learning for Intelligent Decision Science The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making: |
| any_adam_object | 1 |
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| author2 | Rout, Jitendra Kumar Rout, Minakhi Das, Himansu |
| author2_role | edt edt edt |
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| author_facet | Rout, Jitendra Kumar Rout, Minakhi Das, Himansu |
| building | Verbundindex |
| bvnumber | BV046814135 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)1190907485 (DE-599)BVBBV046814135 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| isbn | 9789811536885 |
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| spelling | Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das (editors) Singapore Springer [2020] xii, 209 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Algorithms for intelligent systems Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Entscheidungstechnik (DE-588)4152413-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s Entscheidungstechnik (DE-588)4152413-5 s DE-604 Künstliche Intelligenz (DE-588)4033447-8 s Rout, Jitendra Kumar edt Rout, Minakhi (DE-588)1205163522 edt Das, Himansu edt Erscheint auch als Online-Ausgabe 978-981-15-3689-2 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032222628&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032222628&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Machine learning for intelligent decision science Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Entscheidungstechnik (DE-588)4152413-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4193754-5 (DE-588)4152413-5 (DE-588)4143413-4 |
| title | Machine learning for intelligent decision science |
| title_auth | Machine learning for intelligent decision science |
| title_exact_search | Machine learning for intelligent decision science |
| title_exact_search_txtP | Machine learning for intelligent decision science |
| title_full | Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das (editors) |
| title_fullStr | Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das (editors) |
| title_full_unstemmed | Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das (editors) |
| title_short | Machine learning for intelligent decision science |
| title_sort | machine learning for intelligent decision science |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Entscheidungstechnik (DE-588)4152413-5 gnd |
| topic_facet | Künstliche Intelligenz Maschinelles Lernen Entscheidungstechnik Aufsatzsammlung |
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