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B01=Dmitry A. Zaitsev
B01=Houbing Herbert Song
B01=Peter Han Joo Chong
B01=Pethuru Raj
B01=Pushan Kumar Dutta
Category1=Non-Fiction
Category=UB
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases

English

Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Use Cases delineates how graph data science significantly empowers the application of data science. The book discusses the emerging paradigm of graph data science in detail along with its practical research and real-world applications. Readers will be enriched with the knowledge of graph data science, graph analytics, algorithms, databases, platforms, and use cases across a variety of research and topics and applications. This book also presents how graphs are used as a programming language, especially demonstrating how Sleptsov Net Computing can contribute as an entirely graphical concurrent processing language for supercomputers. Graph data science is emerging as an expressive and illustrative data structure for optimally representing a variety of data types and their insightful relationships. These data structures include graph query languages, databases, algorithms, and platforms. From here, powerful analytics methods and machine learning/deep learning (ML/DL) algorithms are quickly evolving to analyze and make sense out of graph data. As a result, ground-breaking use cases across scientific research topics and industry verticals are being developed using graph data representation and manipulation. A wide range of complex business and scientific research requirements are efficiently represented and solved through graph data analysis, and Applied Graph Data Science: Graph Algorithms and Platforms, Knowledge Graphs, Neural Networks, and Applied Graph Data Science gives readers both the conceptual foundations and technical methods for applying these powerful techniques. See more
Current price €151.04
Original price €158.99
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Age Group_Uncategorizedautomatic-updateB01=Dmitry A. ZaitsevB01=Houbing Herbert SongB01=Peter Han Joo ChongB01=Pethuru RajB01=Pushan Kumar DuttaCategory1=Non-FictionCategory=UBCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 01 Feb 2025

Product Details
  • Weight: 450g
  • Dimensions: 191 x 235mm
  • Publication Date: 01 Feb 2025
  • Publisher: Elsevier Science & Technology
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443296543

About

Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE) Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch India. He has gained more than 18 years of IT industry experience. He finished the CSIR-sponsored PhD degree in Anna University Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation Indian Institute of Science Bangalore. Thereafter he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big Fast and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE ACM Springer-Verlag Inderscience etc. Pushan Kumar Dutta is a distinguished Assistant Professor Grade III at Amity University Kolkata specializing in Electronics and Communication Engineering. He holds a PhD from Jadavpur University and completed a postdoctorate with scholarship from Erasmus Mundus Association at the University of Oradea Romania. Dr. Dutta has an extensive research background with diverse interests including data mining AI edge computing predictive analytics and earthquake precursor study. His expertise is recognized globally through keynote speeches delivered at international events like the Data Science Europe summit. In addition to his academic pursuits Dr. Dutta actively mentors students and coordinates sports and innovation competitions at Amity University Kolkata. He teaches classes on IoT (Internet of Things) robotics and engineering while being involved in various technical programming committees for prestigious conferences worldwide. Furthermore his achievements include receiving the ATAL NITI Aayog Mentor of Change recognition from NITI Aayog (National Institution for Transforming India). Under his guidance a group won Best Presentation award worth $1000 during Tech Connections session held by Johnson Controls. Dr. Duttas passion for education is evident through his copyright entitled 'Innovative Digital Teaching and Learning for Professional Readiness'. Professor Peter Han Joo Chong is the Associate Head of School (Research) at the School of Engineering Computer and Mathematical Sciences Auckland University of Technology New Zealand. Between 2016 and 2021 he was the Head of Department of Electrical and Electronic Engineering at AUT. He received the B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia Canada in 1993 and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia Canada in 1996 and 2000 respectively. He has visited Tohoku University Japan as a Visiting Scientist in 2010 and Chinese University of Hong Kong (CUHK) Hong Kong between 2011 and 2012. He is currently an Adjunct Professor at the Department of Information Engineering CUHK. He is an Honorary Professor at Amity University India. He is a Fellow of the Institution of Engineering and Technology (FIET) UK. Prof. Chong is listed in the World's Top 2% Scientists published by Stanford University in 2022. Before joining AUT in 2016 Professor Chong was an Associate Professor (tenured) from July 2009 to April 2016 and Assistant Professor from May 2002 to June 2009 at the School of Electrical and Electronic Engineering Nanyang Technological University (NTU) Singapore. Between 2011 and 2013 he was the Assistant Head of Division of Communication Engineering. Between 2013 and 2016 he was the Director of Infinitus Centre for Infocomm Technology. He was the recipient of EEE Teaching Excellence Award and Nanyang Award Excellence in Teaching in 2010 and Nanyang Education Award (College) in 2015. In 2015 he became a Fellow of the Teaching Excellence Academy in NTU. From February 2001 to May 2002 he was with the Radio Communications Laboratory at Nokia Research Center Finland. Between July 2000 and January 2001 he worked in the Advanced Networks Division at Agilent Technologies Canada Inc. Canada. He co-founded P2 Wireless Technology in Hong Kong in 2009 and Zyetric Technologies in Hong Kong New Zealand and US in 2017. His current research projects focus on machine learning techniques applied to software defined vehicular networks. He has been developing techniques of deep reinforcement learning (DRL)-based resource management for future 5G-V2X networks. His research interests are in the areas of wireless/mobile communications systems including radio resource management multiple access MANETs/VANETs green radio networks and 5G-V2X networks. He has published over 300 journal and conference papers 1 edited book and 13 book chapters in the relevant areas. Houbing Song Security and Optimization for Networked Globe Laboratory University of Maryland Baltimore County (UMBC) Baltimore USA. His research interests include cyber-physical systems cybersecurity and privacy IoT big data analytics connected vehicles smart health wireless communications and networking. Dr. Song has edited and authored several books in the field including Cyber-Physical Systems: Foundations Principles and Applications. Dmitry A. Zaitsev received the Eng. degree in applied mathematics from Donetsk Polytechnic Institute Donetsk Ukraine in 1986 the Ph.D. degree in automated control from the Kiev Institute of Cybernetics Kiev Ukraine in 1991 and the D.Sc. degree in telecommunications from the Odessa National Academy of Telecommunications Odessa Ukraine in 2006. He is a professor of Computer Science Department University of Information Technology and Management in Rzeszow senior member of the ACM and IEEE recently visiting professor to Université Côte dAzur France. In 2017 he was a visiting professor to The University of Tennessee Knoxville USA on a Fulbright scholarship working in the Innovative Computing Laboratory headed by Jack Dongarra. As a result a joint paper was published and software ParAd issued. Dmitry A. Zaitsev developed: theory of linear system clans; small universal Petri and Sleptsov nets in explicit form; generalized neighbourhood for cellular automata; theory of infinite Petri nets; Sleptsov net computing; equivalent transformations of timed Petri nets algorithm for fuzzy logic function synthesis. He designed the Opera-Topaz system for production control models of protocols and networking technologies TCP BGP IOTP MPLS Bluetooth PBB offered and implemented in the Linux kernel a new stack of networking protocols E6.

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