Big Data Analytics
Springer International Publishing (Verlag)
978-3-030-37187-6 (ISBN)
The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.
Big Data Analytics: Vision and Perspectives.- Transforming Sensing Data into Smart Data for Smart Sustainable Cities.- Deep Learning Models for Medical Image Analysis: Challenges and Future Directions.- Recent Advances and Challenges in design of Non-Goal Oriented Dialogue System.- Data Cube is Dead, Long Life to Data Cube in the Age of Web Data.- Search and Information Extraction.- Improving Result Diversity using Query Term Proximity in Exploratory Search.- Segment-search vs Knowledge Graphs: Making a Keyword Search Engine for Web Documents.- Pairing Users in Social Media via Processing Meta-data from Conversational Files.- Large-Scale Information Extraction from Emails with Data Constraints.- Comparative Analysis of Rule-based, Dictionary-based and Hybrid Stemmers for Gujarati Language.- Predictive Analytics in Medical and Agricultural Domains.- Artificial Intelligence and Bayesian Knowledge Network in Health Care - Smartphone Apps for diagnosis and differentiation of anemias with higher accuracy at Resource Constrained Point-of-Care settings.- Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification.- Market Intelligence for Agricultural Commodities using Forecasting and Deep Learning Techniques.- Graph Analytics.- TKG: Efficient Mining of Top-K Frequent Subgraphs.- Why Multilayer Networks Instead Of Simple Graphs? Modeling Effectiveness And Analysis Flexibility & Efficiency!.- Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks.- Data-Driven Optimization of Public Transit Schedule.- Pattern Mining.- Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases.- Efficient Algorithms For Flock Detection in Large Spatio-Temporal Data.- Local Temporal Compression for (Globally) Evolving Spatial Surfaces.- An Explicit Relationship between Sequential Patterns and their Concise Representations.- Machine Learning.- A novel approach to identify the determinants of online review helpfulness and predict the helpfulness score across product categories.- Analysis and Recognition of Hand-drawn Images with Effective Data Handling.- Real Time Static Gesture Detection Using Deep Learning.- Interpreting Context of Images using Scene Graphs.- Deep Learning in the Domain of Near-Duplicate Document Detection.
| Erscheinungsdatum | 24.01.2020 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 462 p. 290 illus., 142 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 724 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Artificial Intelligence • Big Data • Computer Science • computer vision • conference proceedings • data analytics • Databases • Data Mining • Deep learning • digital storage • HCI • Human-Computer interaction • Image Processing • Informatics • Information Management • information systems • Information Technology • machine learning • Neural networks • Research |
| ISBN-10 | 3-030-37187-5 / 3030371875 |
| ISBN-13 | 978-3-030-37187-6 / 9783030371876 |
| Zustand | Neuware |
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