Buch, Englisch, 320 Seiten
Network Algorithms and Python in Practice
Buch, Englisch, 320 Seiten
ISBN: 978-1-83669-162-4
Verlag: Wiley
Practical Graph Intelligence 2 delivers a comprehensive and application driven exploration of graph-based methods for understanding complex, interconnected data.
This book bridges theory and practice by presenting advanced techniques in graph theory, graph neural networks and network analytics, with a strong focus on real-world implementation. It addresses critical challenges such as scalability, interpretability and dynamic data handling while showcasing applications across healthcare, cybersecurity, social networks and smart systems.
Designed for researchers, practitioners and advanced students, this book highlights emerging trends and practical frameworks that enable efficient, data-driven decision-making. By integrating cutting-edge research with hands-on perspectives, it serves as a valuable resource for developing robust and intelligent graph-based solutions in today’s data intensive environments.
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Technische Informatik Hardware: Grundlagen und Allgemeines
Weitere Infos & Material
Preface xvii
Pramod Singh RATHORE, Abhishek KUMAR, Priya BATTA and Inam UL HAQ
Introduction xix
Pramod Singh RATHORE, Abhishek KUMAR, Priya BATTA and Inam UL HAQ
Chapter 1 Convolutional Neural Networks with Recurrent Layers for Network Intrusion Classification Using NSL-KDD Dataset 1
Ch Srinivasa RAO, P TEJASWINI, Shaik MAHEEN, R LIKITHA, R SAHITHYA and Pranathi URADI REDDY
Chapter 2 Spectral Graph Convolutional Networks for IoT Device Clustering and Anomalous Node Detection in Complex Network Topologies 13
R VANAJA, L MANJULA, K RAMACHANDRAN, T.R.K KUMAR, S Leoni SHARMILA and R BALAPRIYA
Chapter 3 Graph Intelligence-enhanced Quantum-Inspired Hybrid Algorithms for Black–Litterman Portfolio Optimization with Value-at-Risk Constraints 25
Srinivas YADLAPATY, G SHRINITHA, G AKSHAYA, G NANDINI, Erukulla SATHWIKA and A Vedha PRIYA
Chapter 4 Graph Intelligence-Assisted Variational Autoencoders and Monte Carlo Simulations for Financial Risk Assessment in the Quantum Computing Era 39
Ekbal RASHID, B MEGHANA, D Sri VARSHINI, Dasari HARINI, Chede RETHASVI and Cherala HARSHINI
Chapter 5 Auto-Regressive Integrated Moving Average (ARIMA) with Exogenous Variables and Fourier Features for Stock Volatility Prediction in Graph-Based Financial Networks 55
Mamilla MAHESWARI, Jerripothula CHAITHANYA, Gangadhari SWETHA, Kucharlapati VARSHITHA, G Navya ANJALI and Maridi HARSHINI
Chapter 6 Geometric Brownian Motion and Cox–Ingersoll–Ross Models: Jump-Diffusion Processes in Graph-based Queueing Theory for Network Performance Analysis 69
Shivani S BHASGI, G MEGHANA, G ABHINAYA, G MANVITHA, Chinta SAMATHA and A SANDHYA
Chapter 7 Enhancing Financial Fraud Detection by Leveraging Llama2 NLP and Neo4j Graph Database for Contextual Analysis and Relationship Modeling 85
Sakthitharan SUBRAMANIAN, Karan Veer BHANDARI and Mayank KAMBOJ
Chapter 8 Digital Finance and Financial Inclusion in India: Opportunities and Challenges 103
D GNYANESWER, Kasaram MANASA and B Mohan KUMAR
Chapter 9 Graph Intelligence-driven Early Risk Prediction in Autistic Children Using Multimodal Neuroimaging (fMRI, sMRI and EEG) 125
P.M.G JEGATHAMBAL and P Sheela GOWR
Chapter 10 Susceptible–Infected–Recovered (SIR) Models with Stochastic Differential Equations: Parameter Estimation via Kalman Filtering for Graph-based Epidemic Spread Analysis 139
Sumaiya SAMREEN, Dodda VISHALI, Elakoti VAISHNAVI, A SRIHTIHA, Gogulamudi RENU and A Silvia JASMINE
Chapter 11 Distributed MapReduce and RDD Abstractions in Apache Spark: Scalable Graph Processing for Petabyte-Scale Datasets 153
MAHITHA, Paloju ABHINAYA, Thotla MANISHA, Swarna SREEMAYI, T VARSHITHA and Thippani HARPITHA
Chapter 12 Beam Processing with Watermarking and Windowing Strategies in Apache Flink for Unbounded Stream Analysis 169
Manish Kumar SINHA, Rishita GANOLIYA, Yadlapalli SNEHITHA, Yarram NEHA, Suma Sri PALOJI and Shetti NITHISHA
Chapter 13 PageRank Algorithm Enhanced with Spectral Graph Theory for Multi-Layer Network Optimization in 5G Infrastructure 185
Shivani S BHASGI, Dodle AKSHAYA, Bhuvana Sri ADDAGATLA, Harsha Vardhani ADULA, Christina Charis RENTAPALLA and D KEERTHANA
Chapter 14 Graph Intelligence-enabled AI-driven Multiscale Computational Fluid Dynamics Framework for Predicting Heat and Mass Transfer in Microfluidic Channels Using Hybrid Nano-enhanced Fluids Under Transient Flow Conditions 201
K RAMACHANDRAN, T.R.K KUMAR, S Leoni SHARMILA, R BALAPRIYA, R VANAJA and L MANJULA
Chapter 15 AI-enabled Prediction and Inverse Design of Micro-Nano Scale Convective Heat and Mass Transfer Using Physics-informed Neural Networks Integrated with High-Fidelity Nanofluid CFD Simulations 217
T.R.K KUMAR, S Leoni SHARMILA, R BALAPRIYA, R VANAJA, L MANJULA and K RAMACHANDRAN
Chapter 16 Intelligent CFD–AI Hybrid Modeling of Multiphase Nanofluid Dynamics in Microfluidic Devices for Ultra-efficient Thermal Management, Energy Harvesting and Advanced Bio-thermal Applications 233
R BALAPRIYA, R VANAJA, L MANJULA, K RAMACHANDRAN, T.R.K KUMAR and S Leoni SHARMILA
Chapter 17 Graph Intelligence-enabled Precision Agriculture: Advanced Disease Detection System for Sugarcane Crops Using Intelligent Image Processing 245
Deepak Kumar PANT, Sameer Dev SHARMA, Deepak KUMAR and Aagman KAPARWAN
List of Authors 263
Index 271
