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89534703
Kdd '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Vol 3, (Paperback)
Item #:
89534703
LKR 101096
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KDD conferences have been the bridge between theory and practice, a great facilitator and catalyst for the exchange of knowledge in data science and AI.
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What Stands Out
Comprehensive Research
This collection presents cutting-edge research and insights in data mining, addressing significant issues faced by scholars and practitioners, making it an essential resource for academic libraries and professionals alike.
Peer-Reviewed Quality
Each paper included is rigorously peer-reviewed, ensuring the highest academic standards and contributing valuable findings to the field, which can guide future research and applications in data science.
Diverse Topics
Covering a wide array of topics, this volume appeals to researchers and students interested in various aspects of knowledge discovery, from algorithms to applications, providing a holistic view of the current landscape.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2018 |
| Pages | 982 |
| Edition | 1 |
| Publisher | ACM |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Assembled product height | 1.5 in (3.8 cm) |
| Assembled product weight | 4.9 lb (2.22 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Scientists
Essential for data scientists seeking the latest research and methodologies in knowledge discovery and data mining.
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Academics Researchers
Provides comprehensive insights and findings valuable for academics conducting research in data mining and analytics.
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Graduate Students
Helpful resource for graduate students specializing in data science, offering current trends and innovations in the field.
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Casual Readers
Not ideal for casual readers without a strong background in data mining, as it may be too technical.
Product Description
Kdd '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Vol 3, (Paperback)
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Customer Questions & Answers
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Question:
What are the dates for the KDD 2018 conference?
Answer: The KDD 2018 conference was held from November 16 to November 21, 2018. -
Question:
Who are the keynote speakers of KDD 2018?
Answer: Keynote speakers include David Hand, Alvin E. Roth, Jeannette M. Wing, and Yee Whye Teh. -
Question:
What topics will be covered at the conference?
Answer: The conference will cover data science, artificial intelligence, machine learning, and innovative applications in various sectors.
ACM All Books Editorial Review
Kdd '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining Vol 3 is a comprehensive paperback collection published by ACM in November 2018, consisting of 982 pages of non-fiction content focused on computing and internet technologies. This volume explores various advancements and research findings in the field, making it an essential read for professionals and students alike. The book is well-structured and provides insights into data mining methodologies, which can significantly enhance one's understanding of knowledge discovery. Readers appreciate its depth and scholarly approach to complex topics, making it a valuable addition to any technology enthusiast's library.
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Pros
- Comprehensive coverage of data mining topics
- Well-structured for academic study
- Published by a reputable organization
- Rich in research findings and methodologies
Cons
- Heavier than standard academic textbooks
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LKR 101096
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Features & Benefits
- Explore groundbreaking research at KDD 2018, a premier conference in data mining and AI.
- Engage with leading experts through keynotes and interactive tutorials.
- Network with researchers and practitioners to exchange innovative ideas.
- Experience hands-on workshops designed to enhance practical knowledge.
- Benefit from insights on applying AI for social good from industry leaders.
- Join in the vibrant hub of London, the AI capital of Europe, for unparalleled learning opportunities.
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