Vai al contenuto principale della pagina
Titolo: | Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics : Second International Conference, ICETCE 2019, Jaipur, India, February 1–2, 2019, Revised Selected Papers / / edited by Arun K. Somani, Seeram Ramakrishna, Anil Chaudhary, Chothmal Choudhary, Basant Agarwal |
Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Edizione: | 1st ed. 2019. |
Descrizione fisica: | 1 online resource (xiii, 364 pages) : illustrations |
Disciplina: | 621.39 |
Soggetto topico: | Data mining |
Artificial intelligence | |
Application software | |
Computer organization | |
Optical data processing | |
Computer security | |
Data Mining and Knowledge Discovery | |
Artificial Intelligence | |
Information Systems Applications (incl. Internet) | |
Computer Systems Organization and Communication Networks | |
Image Processing and Computer Vision | |
Systems and Data Security | |
Persona (resp. second.): | SomaniArun K |
RamakrishnaSeeram | |
ChaudharyAnil | |
ChoudharyChothmal | |
AgarwalBasant | |
Nota di contenuto: | Innovative Mindset -- Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security -- An Efficient and Adaptive Method for Collision Probability of Ships, Icebergs Using CNN and DBSCAN Clustering Algorithm -- Robust Moving Object Detection and Tracking Framework Using Linear Phase FIR Filter -- Advance Persistent Threat Detection Using Long Short Term Memory (LSTM) Neural Networks -- IOT Enabled Machine Learning and Big Data Analytics Based Life Style Diseases: A Survey -- 3D Trajectory Reconstruction Using Color-based Optical Flow and Stereo Vision -- Medical Image Analysis using Deep Learning: A Systematic Literature Review -- Cross-Domain Spam Detection in Social Media: A Survey -- A Comparative Study on k-means Clustering Method and Analysis -- Smart Judiciary System: A Smart Dust based IoT Application -- Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytics -- The Survival Analysis for Auto-scaling of Cloud Resource Provisioning -- Rating Prediction by Combining User Interest and Friendly Relationship -- A Comparative Study of Methods for Hiding Large Size Audio File in Smaller Image Carriers -- An Improved SMS based Metering System -- Cervical Cancer Detection using Single Cell and Multiple Cell Histopathologic Images -- IoT Sensor based Alert System for Visually Impaired Persons -- Join Query Optimization using Genetic Ant Colony Optimization Algorithm for Distributed Database -- Solving an Intractable Stochastic Partial Backordering Inventory Problem using Machine Learning -- An Approach to Suggesting Code Smell Order for Refactoring -- Optimal Feature Selection of Technical Indicator and Stock Prediction using Machine Learning Technique -- Using Social Networking Sites: A Qualitative Cross-Cultural Comparison -- POS Tagging and Structural Annotation of Handwritten Text Image Corpus of Devnagari Script -- Automatic Parallelization of C code using OpenMP -- Expert System in Determining the Quality of Fish Guramy Superior Seedlings Using Forward Chaining-Based Websites -- Proactive Cache Placement and Optimal Partitioning in Named Data Networking -- Hybrid Multimodal Medical Image Fusion Algorithms for Astrocytoma Disease Analysis -- Advanced Expert System Using Bees Swarm Optimisation Based Adaptive Network Based Fuzzy Inference System to Diagonse the Physical Constitution of Human Body. |
Sommario/riassunto: | This book constitutes the refereed proceedings of the Second International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics, ICETCE 2019, held in Jaipur, India, in February 2019. The 28 revised full papers along with 1 short paper presented were carefully reviewed and selected from 253 submissions. ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in computer engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and experiences. |
Titolo autorizzato: | Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics |
ISBN: | 981-13-8300-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910350218203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |