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Advances in Data Science and Information Engineering - Proceedings from ICDATA 2020 and IKE 2020 (Hardcover, 1st ed. 2021):... Advances in Data Science and Information Engineering - Proceedings from ICDATA 2020 and IKE 2020 (Hardcover, 1st ed. 2021)
Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R Arabnia, …
R5,508 Discovery Miles 55 080 Ships in 10 - 15 working days

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Principles of Data Science (Paperback, 1st ed. 2020): Hamid R Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard... Principles of Data Science (Paperback, 1st ed. 2020)
Hamid R Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, …
R4,740 Discovery Miles 47 400 Ships in 10 - 15 working days

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice

Principles of Data Science (Hardcover, 1st ed. 2020): Hamid R Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard... Principles of Data Science (Hardcover, 1st ed. 2020)
Hamid R Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, …
R4,773 Discovery Miles 47 730 Ships in 10 - 15 working days

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice

Real World Data Mining Applications (Paperback, 2015 ed.): Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss Real World Data Mining Applications (Paperback, 2015 ed.)
Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss
R4,252 Discovery Miles 42 520 Ships in 10 - 15 working days

Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter- and multidisciplinary approach is well reflected within the field of information systems. The information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. Furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring synergies at the intersection with information systems. It will serve as a platform for academics and practitioners to highlight their recent achievements and reveal potential opportunities in the field. Thanks to its multidisciplinary nature, the volume is expected to become a vital resource for a broad readership ranging from students, throughout engineers and developers, to researchers and academics.

Computational Logistics - Third International Conference, ICCL 2012, Shanghai, China, September 24-26, 2012, Proceedings... Computational Logistics - Third International Conference, ICCL 2012, Shanghai, China, September 24-26, 2012, Proceedings (Paperback, 2012 ed.)
Hao Hu, Xiaoning Shi, Robert Stahlbock, Stefan Voss
R1,990 Discovery Miles 19 900 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the Third International Conference on Computational Logistics, held in Shanghai, China, in September 2012. The 15 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections on maritime shipping; logistics and supply chain management; planning and operations; and case studies.

Computational Logistics - Second International Conference, ICCL 2011, Hamburg, Germany, September 19-22, 2011, Proceedings... Computational Logistics - Second International Conference, ICCL 2011, Hamburg, Germany, September 19-22, 2011, Proceedings (Paperback)
Jurgen W. Boese, Hao Hu, Carlos Jahn, Xiaoning Shi, Robert Stahlbock, …
R1,584 Discovery Miles 15 840 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the Second International Conference on Computational Logistics, ICCL 2011, held in Hamburg, Germany, in September 2011.
The 26 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on transport services, logistics systems and production, and maritime shipping and container terminals.

Data Mining - Special Issue in Annals of Information Systems (Paperback, 2010 ed.): Robert Stahlbock, Sven F. Crone, Stefan... Data Mining - Special Issue in Annals of Information Systems (Paperback, 2010 ed.)
Robert Stahlbock, Sven F. Crone, Stefan Lessmann
R4,654 Discovery Miles 46 540 Ships in 10 - 15 working days

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research.

This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN'07 and DMIN'08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.

Advances in Data Science and Information Engineering - Proceedings from ICDATA 2020 and IKE 2020 (Paperback, 1st ed. 2021):... Advances in Data Science and Information Engineering - Proceedings from ICDATA 2020 and IKE 2020 (Paperback, 1st ed. 2021)
Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Cheng-Ying Yang, Hamid R Arabnia, …
R5,475 Discovery Miles 54 750 Ships in 10 - 15 working days

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Data Mining (Paperback): Robert Stahlbock, Gary M. Weiss Data Mining (Paperback)
Robert Stahlbock, Gary M. Weiss
R2,229 R2,005 Discovery Miles 20 050 Save R224 (10%) Ships in 12 - 17 working days

Data Mining is a compendium of articles and papers that were presented at DMIN '16, an international conference that serves researchers, scholars, professionals, students, and academicians.

Data Mining (Paperback): Robert Stahlbock, Gary M. Weiss Data Mining (Paperback)
Robert Stahlbock, Gary M. Weiss
R2,318 R2,006 Discovery Miles 20 060 Save R312 (13%) Ships in 12 - 17 working days

This volume contains the proceedings of the 2017 International Conference on Data Mining (DMIN'17).

Data Science (Paperback): Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr Data Science (Paperback)
Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr
R4,136 Discovery Miles 41 360 Ships in 12 - 17 working days

Proceedings of the 2019 International Conference on Data Science (ICDATA'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Data Mining (Paperback): Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Hamid R Arabnia Data Mining (Paperback)
Robert Stahlbock, Gary M. Weiss, Mahmoud Abou-Nasr, Hamid R Arabnia
R2,098 R1,883 Discovery Miles 18 830 Save R215 (10%) Ships in 12 - 17 working days

Data Mining is a compendium of articles and papers that were presented at DMIN '14, an international conference that serves researchers, scholars, professionals, students, and academicians. Selected topics include: Real-World Data Mining Applications, Challenges, and Perspectives Classification, Clustering, Association Web, Text, Multimedia Mining Late Breaking Papers and Position Papers: Data Mining

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