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ORCID7th BDA 2019: Ahmedabad, India
- Sanjay Madria, Philippe Fournier-Viger
, Sanjay Chaudhary, P. Krishna Reddy:
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11932, Springer 2019, ISBN 978-3-030-37187-6
Big Data Analytics: Vision and Perspectives
- Koji Zettsu:
Transforming Sensing Data into Smart Data for Smart Sustainable Cities. 3-19 - R. K. Agrawal, Akanksha Juneja:
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions. 20-32 - Akanksha Mehndiratta, Krishna Asawa:
Recent Advances and Challenges in Design of Non-goal-Oriented Dialogue Systems. 33-43 - Selma Khouri, Nabila Berkani, Ladjel Bellatreche, Dihia Lanasri:
Data Cube Is Dead, Long Life to Data Cube in the Age of Web Data. 44-64
Search and Information Extraction
- Vikram Singh, Mayank Dave:
Improving Result Diversity Using Query Term Proximity in Exploratory Search. 67-87 - Rashmi P. Sarode, Shelly Sachdeva, Wanming Chu, Subhash Bhalla:
Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents. 88-107 - Meghna Chaudhary, Ravi Sharma, Sriram Chellappan:
Pairing Users in Social Media via Processing Meta-data from Conversational Files. 108-123 - Rajeev Gupta, Ranganath Kondapally, Siddharth Guha:
Large-Scale Information Extraction from Emails with Data Constraints. 124-139 - Nakul R. Dave, Mayuri A. Mehta:
Comparative Analysis of Rule-Based, Dictionary-Based and Hybrid Stemmers for Gujarati Language. 140-155
Predictive Analytics in Medical and Agricultural Domains
- Shubham Yadav, Sakthi Ganesh, Debanjan Das, U. Venkanna, Rajarshi Mahapatra, Ankur Kumar Shrivastava, Prantar Chakrabarti, Asoke K. Talukder:
Suśruta: 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. 159-175 - Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar:
Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification. 176-192 - Swapnil Shrivastava, Supriya N. Pal, Ranjeet Walia:
Market Intelligence for Agricultural Commodities Using Forecasting and Deep Learning Techniques. 193-205
Graph Analytics
- Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran:
TKG: Efficient Mining of Top-K Frequent Subgraphs. 209-226 - Sharma Chakravarthy, Abhishek Santra, Kanthi Sannappa Komar:
Why Multilayer Networks Instead of Simple Graphs? Modeling Effectiveness and Analysis Flexibility and Efficiency! 227-244 - Moumita Chatterjee, Anirban Mitra, Sudipta Roy, Somasis Roy, Hirav Shah, Sanjit Kumar Setua:
Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks. 245-264 - Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta, Abhishek Dubey:
Data-Driven Optimization of Public Transit Schedule. 265-284
Pattern Mining
- P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. 287-306 - Jui Mhatre, Harsha Agrawal, Sumit Sen:
Efficient Algorithms for Flock Detection in Large Spatio-Temporal Data. 307-323 - Xu Teng, Prabin Giri, Matthew Dwyer, Jidong Sun, Goce Trajcevski:
Local Temporal Compression for (Globally) Evolving Spatial Surfaces. 324-340 - Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
An Explicit Relationship Between Sequential Patterns and Their Concise Representations. 341-361
Machine Learning
- Debasmita Dey, Pradeep Kumar:
A Novel Approach to Identify the Determinants of Online Review Helpfulness and Predict the Helpfulness Score Across Product Categories. 365-388 - Mohit Gupta, Pulkit Mehndiratta:
Analysis and Recognition of Hand-Drawn Images with Effective Data Handling. 389-407 - Kalpdrum Passi, Sandipgiri Goswami:
Real Time Static Gesture Detection Using Deep Learning. 408-426 - Himangi Mittal, Ajith Abraham, Anuja Arora:
Interpreting Context of Images Using Scene Graphs. 427-438 - Rajendra Kumar Roul:
Deep Learning in the Domain of Near-Duplicate Document Detection. 439-459
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