Big Data Analytics -

Big Data Analytics

7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings
Buch | Softcover
XIII, 462 Seiten
2020 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-37187-6 (ISBN)
53,49 inkl. MwSt
This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019.
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
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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