Big Data Analytics : 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings / edited by Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy.

Format:

Book

Contributor:

Madria, Sanjay, editor.

Fournier-Viger, Philippe, editor.

Caudharī, Sañjaya, 1963- editor.

Reddy, P. Krishna (Polepalli Krishna), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11932.

Information Systems and Applications, incl. Internet/Web, and HCI ; 11932

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Application software.

Database management.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Database Management.

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Database Management.

Physical Description:

1 online resource (XIII, 462 pages) : 290 illustrations, 142 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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.

Contents:

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 and 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.

Other Format:

Printed edition:

ISBN:

978-3-030-37188-3

9783030371883

Access Restriction:

Restricted for use by site license.