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Big Data Mining and Complexity

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Computers - Algorithms and Data Structures
Big Data Mining and Complexity

Big Data Mining and Complexity

Brian C. Castellani, Rajeev Rajaram

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This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.

درجه (قاطیغوری(:

Computers - Algorithms and Data Structures

کال:

2022

خپرونه:

1

خپرندویه اداره:

SAGE

ژبه:

english

صفحه:

180

ISBN 10:

1529710995

ISBN 13:

9781529710991

لړ (سلسله):

The SAGE Quantitative Research Kit

فایل:

PDF, 2.84 MB

IPFS:

,

english, 2022

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ممکن تاسی علاقمند شی

Taylor & Francis Group — Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data

Chong Ho Alex Yu — Data Mining and Exploration: From Traditional Statistics to Modern Data Science

Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna — Knowledge Graphs Applied - MEAP V02

Ciza Thomas, Andries Engelbrecht — Data Mining: Concepts and Applictions

Om Prakash Jena — Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining

the knowledge engineering approach (2007) — evolving connectionist systems

Ge, Zongyuan; Liu, Shen; McGree, James; Xie, Yang — Computational and Statistical Methods for Analysing Big Data with Applications

D. Binu (editor), B.R. Rajakumar (editor) — Artificial Intelligence in Data Mining: Theories and Applications

Rakesh M. Verma; David J. Marchette — Cybersecurity Analytics

Maurice Kleman, Oleg D. Lavrentovich — Soft Computing for Knowledge Discovery and Data Mining

Peter Wlodarczak — Machine Learning and Its Applications

Hassan A. Karimi, Bobak Karimi — Geospatial Data Science Techniques and Applications

Diego Galar Pascual — Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis

Brian C. Castellani, Rajeev Rajaram — Big Data Mining and Complexity

Ruhul Sarker, Hussein A. Abbass, Charles Newton — Heuristic and Optimization for Knowledge Discovery

A. B. M. Shawkat Ali, Yang Xiang — Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches (Premier Reference Source)

Fausto Pedro Garcia Marquez (editor) — Advanced Multi-industry Applications of Big Data Clustering and Machine Learning

Nikola Kasabov — Evolving Connectionist Systems: A Knowledge Engineering Approach

Ruhul Sarker, Hussein A. Abbass, Charles Newton — Heuristic and Optimization for Knowledge Discovery

Prof. Giacomo Della Riccia, Prof. Dr. Hans-Joachim Lenz, Prof. Dr. Rudolf Kruse (eds.) — Learning, Networks and Statistics

Witold Pedrycz; Shyi-Ming Chen — Data Science and Big Data: An Environment of Computational Intelligence

Ngoc Thanh Nguyen, Elias Pimenidis, Zaheer Khan, Bogdan Trawiński — Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part I

Carla S. Möller-Levet, Hujun Yin (auth.), Zheng Rong Yang, Hujun Yin, Richard M. Everson (eds.) — Intelligent Data Engineering and Automated Learning – IDEAL 2004: 5th International Conference, Exeter, UK. August 25-27, 2004. Proceedings

Petra P. (ed.) — Advances In Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications

Christine L. Mumford (auth.), Christine L. Mumford, Lakhmi C. Jain (eds.) — Computational Intelligence: Collaboration, Fusion and Emergence

Giorgio Giacinto (auth.), Petra Perner (eds.) — Advances in Data Mining. Applications and Theoretical Aspects: 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings

Florin Gorunescu (auth.) — Data Mining: Concepts, Models and Techniques

Sio-Iong Ao (auth.) — Applied Time Series Analysis and Innovative Computing

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