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Computational Intelligence and Data Analytics de Rajkumar Buyya

Computational Intelligence and Data Analytics: Lecture Notes on Data Engineering and Communications Technologies, cartea 142

Editat de Rajkumar Buyya, Susanna Munoz Hernandez, Ram Mohan Rao Kovvur, T. Hitendra Sarma
en Limba Engleză Paperback – 3 sep 2022

Considerăm că un exemplu definitoriu pentru rigoarea acestui volum este studiul dedicat dezvoltării unui sistem de autentificare securizat prin PIN, bazat pe recunoașterea clipitului ochilor (eye-blink). Acest proiect demonstrează modul în care Computational Intelligence and Data Analytics transformă biometria într-un instrument de securitate cibernetică aplicabil în scenarii reale. Volumul, care reunește lucrările conferinței ICCIDA 2022, oferă o perspectivă tehnică asupra intersecției dintre inteligența artificială și procesarea avansată a informațiilor.

Structura cărții urmărește o progresie logică, de la fundamente teoretice precum abordările de sumarizare a textului prin transfer learning, până la studii de caz medicale, cum ar fi utilizarea algoritmilor de machine learning pentru identificarea anemiei sau clasificarea fructelor prin tehnici decision tree. Această varietate indică o acoperire vastă a domeniului, transformând datele brute în decizii automatizate precise. Complementar volumului Innovations in Data Analytics, care se axează pe securitatea rețelelor și telecomunicații, prezentul titlu pune un accent mai puternic pe algoritmii de învățare bayesiană și aplicațiile de computer vision.

Editorul Rajkumar Buyya continuă aici direcția stabilită în lucrările sale anterioare, precum Resource Management in Distributed Systems sau Artificial Intelligence-based Internet of Things Systems. Dacă în volumele precedente accentul cădea pe infrastructură și alocarea resurselor, în această ediție focusul se mută către inteligența algoritmică aplicată pe seturi de date complexe. Recomandăm acest volum pentru calitatea peer-review-ului și pentru modul în care reușește să integreze cercetarea academică din Hyderabad într-un context tehnologic global, fiind o resursă esențială în seria Lecture Notes on Data Engineering and Communications Technologies.

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Specificații

ISBN-13: 9789811933905
ISBN-10: 9811933901
Pagini: 648
Ilustrații: XIV, 633 p. 296 illus., 221 illus. in color.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 1.08 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes on Data Engineering and Communications Technologies
Seria Lecture Notes on Data Engineering and Communications Technologies

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte inginerilor de date și cercetătorilor în AI care caută implementări concrete ale algoritmilor de clasificare și predicție. Cititorul câștigă acces la metodologii testate pentru securitate biometrică și diagnostic medical asistat de calculator. Este un motiv solid de achiziție pentru oricine dorește să înțeleagă cum transfer learning și algoritmii de tip decision tree pot fi aplicați pe seturi de date din viața reală.

Despre autor

Rajkumar Buyya și echipa editorială, incluzând contribuția simbolică a unor cercetători precum Hai Jin, reprezintă elita academică în domeniul sistemelor de calcul. Hai Jin este profesor la Huazhong University of Science and Technology, cu un doctorat în inginerie electrică și electronică. Expertiza sa în cluster computing și sisteme distribuite, acumulată și la University of Southern California, se reflectă în rigoarea selectării lucrărilor pentru acest volum. Cu peste 50 de lucrări publicate internațional, acesta aduce o perspectivă critică asupra modului în care datele masive sunt procesate în arhitecturi computaționale moderne.

Descriere scurtă

The book presents high-quality research papers presented at the International Conference on Computational Intelligence and Data Analytics (ICCIDA 2022), organized by the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India in January 2022. ICCIDA provides an excellent platform for exchanging knowledge with the global community of scientists, engineers, and educators. This volume covers cutting-edge research in two prominent areas – computational intelligence and data analytics, and allied research areas.

Cuprins

Text Summarization Approaches under Transfer Learning and Domain Adaptation Settings – A Survey.- An Effective Eye-Blink Based Cyber Secure PIN Password Authentication System.- A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory.- Application of Machine Learning Algorithm in Identification of Anaemia Diseases.- Detection of Fruits Image Applying Decision Tree Classifier Techniques.

Notă biografică

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 750 publications and published seven textbooks which are more popular internationally. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most Productive (#1) Author in Cloud Computing. He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field established nearly 50 years ago.
 
Susana Muñoz Hernández obtained Ph.D. in Computer Science from the Technical University of Madrid (UPM), Master in Management of Information Technologies from the Ramón Llull University of Barcelona, and a graduate in International Affairs from the Society of International Studies of Madrid. She won the first prize in a national competition for talented young people organized by the University of La Salle of Madrid in 2003. She has professional experience in some companies (ICT and bank sector) and join research (national and European) projects of recognized prestige in Computational Logic and Artificial Intelligence. She has been working as an Associate Professor at the Computer Science School of the Technical University of Madrid since 1998. She develops her research activity in the BABEL group with more than eighty publications. She received the UPM prize of research in international cooperation for development in 2011. She has been part of the organizing committees of more than 15international conferences.

Dr. K. Ram Mohan Rao received Ph.D in Computer Science and Engineering from Jawaharlal Nehru Technology University (JNTU) in the year 2014 with a Research specialization in Grid Computing. He has more than 25 years of teaching experience in various cadres and currently, he is the Professor and Head of the Information Technology Department, Vasavi College of Engineering, Telangana, Hyderabad, INDIA. He received many prestigious awards from reputed organizations. Dr. Ram Mohan Rao has published and Presented more than 25 research articles in National and International Journals and Conferences. He obtained a grant of Rs 19.31 Lakhs from AICTE under MODROBS and established Deep Learning Lab. As a part of their Research work, he established a Grid Environment using Globus ToolKit (open source software toolkit used for building Grid systems). Further, he also Established Cloud Lab, VCE using Aneka Platform (US Patented) of Manjrasoft Pvt Ltd. His research areas include Distributed Systems Cloud Computing and Data Science.

Dr. T. Hitendra Sarma received Ph.D. in Machine Learning from JNT University Anantapur, India, in Dec’ 2013.  He has more than 14 years of teaching and research experience. Served at different reputed institutes in various capacities. Currently, Dr. Sarma is working as Associate Professor at Vasavi College of Engineering, Hyderabad. Dr. Sarma has published more than 30 research articles in various peer-reviewed International Journals and Conferences by Springer, Elsevier, and IEEE. His research interests include Machine Learning, Hyperspectral Image Processing, Artificial Neural Networks, Data Mining, Data Science, etc. Dr. Sarma holds a project funded by SERB, INDIA. Dr. Sarma is an active researcher. He presented his research articles at reputed conferences like IEEE WCCI (2016 Vancouver, Canada), IEEE CEC (2018, Rio de Janeiro, Brazil), and IEEE ICECIE (2019 Malaysia). He delivered an Invited Talk at the Third International Conference on Data Mining (ICDM) 2017 in Hualien, Taiwan.

Caracteristici

Presents research works in the field of computational intelligence and data analytics Results of ICCIDA 2022 held in Hyderabad, India during April 2022 Serves as a reference for researchers and practitioners in academia and industry