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ORCIDBDA 2018: Warangal, India
- Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu:
Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings. Lecture Notes in Computer Science 11297, Springer 2018, ISBN 978-3-030-04779-5
Big Data Analytics: Vision and Perspectives
- Yoshiharu Ishikawa
, Kento Sugiura, Daiki Takao:
Fault Tolerant Data Stream Processing in Cooperation with OLTP Engine. 3-14 - Hoang Tam Vo, Mukesh K. Mohania, Dinesh Verma, Lenin Mehedy:
Blockchain-Powered Big Data Analytics Platform. 15-32 - Sharma Chakravarthy, Abhishek Santra, Kanthi Sannappa Komar:
Humble Data Management to Big Data Analytics/Science: A Retrospective Stroll. 33-54 - Praveen Paruchuri, Sujit Gujar:
Fusion of Game Theory and Big Data for AI Applications. 55-69
Financial Data Analytics and Data Streams
- Rao Casturi, Rajshekhar Sunderraman:
Distributed Financial Calculation Framework on Cloud Computing Environment. 73-88 - Narinder Singh Punn, Sonali Agarwal:
Testing Concept Drift Detection Technique on Data Stream. 89-99 - Sourabh Yadav, Nonita Sharma:
Homogenous Ensemble of Time-Series Models for Indian Stock Market. 100-114 - Mohit Gupta, Ayushi Asthana, Nishant Joshi, Pulkit Mehndiratta:
Improving Time Series Forecasting Using Mathematical and Deep Learning Models. 115-125 - Anirban Mondal, Atul Singh:
Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective. 126-136
Web and Social Media Data
- Srinath Srinivasa, Raksha Pavagada Subbanarasimha:
Design of the Cogno Web Observatory for Characterizing Online Social Cognition. 139-154 - Shriyansh Agrawal, Lalit Mohan S., Y. Raghu Reddy:
Automated Credibility Assessment of Web Page Based on Genre. 155-169 - Sonu Gupta, Shelly Sachdeva, Prateek Dewan, Ponnurangam Kumaraguru:
CbI: Improving Credibility of User-Generated Content on Facebook. 170-187 - Keshab Nath, Swarup Roy:
A Parallel Approach to Detect Communities in Evolving Networks. 188-203 - Shivani Batra, Shelly Sachdeva, Aayushi Bansal, Suyash Bansal:
Modeling Sparse and Evolving Data. 204-214
Big Data Systems and Frameworks
- Rashmi Girirajkumar Patidar, Shashank Shrestha, Subhash Bhalla:
Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives. 217-227 - K. T. Sridhar, M. A. Sakkeer, Shiju Andrews, Jimson Johnson:
MPP SQL Query Optimization with RTCG. 228-249 - Purnima Shah, Sanjay Chaudhary:
Big Data Analytics Framework for Spatial Data. 250-265 - Sanket Mishra, Mohit Jain, B. Siva Naga Sasank, Chittaranjan Hota:
An Ingestion Based Analytics Framework for Complex Event Processing Engine in Internet of Things. 266-281 - Vaibhav Pandey, Poonam Saini:
An Energy-Efficient Greedy MapReduce Scheduler for Heterogeneous Hadoop YARN Cluster. 282-291
Predictive Analytics in Healthcare and Agricultural Domains
- Jialin Wang, Yanchun Zhang, Qinying Ma:
Analysis of Narcolepsy Based on Single-Channel EEG Signals. 295-306 - Sakthi Ganesh, Asoke K. Talukder:
Formal Methods, Artificial Intelligence, Big-Data Analytics, and Knowledge Engineering in Medical Care to Reduce Disease Burden and Health Disparities. 307-321 - Rashmi Priya, Dharavath Ramesh:
Adaboost.RT Based Soil N-P-K Prediction Model for Soil and Crop Specific Data: A Predictive Modelling Approach. 322-331
Machine Learning and Pattern Mining
- Anurag Tripathi, Siddharth Srivastava, Ravi Kothari:
Deep Neural Network Based Image Captioning. 335-347 - D. Himaja, T. Maruthi Padmaja, P. Radha Krishna:
Oversample Based Large Scale Support Vector Machine for Online Class Imbalance Problem. 348-362 - Ashish Kumar Patel, Satyendra Singh Chouhan, Rajdeep Niyogi:
Using Crowd Sourced Data for Music Mood Classification. 363-375 - Amrit Pal, Manish Kumar:
Applying Big Data Intelligence for Real Time Machine Fault Prediction. 376-391 - Mohit Agrawal, R. Leela Velusamy:
PRISMO: Priority Based Spam Detection Using Multi Optimization. 392-401 - Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak:
Malware Detection Using Machine Learning and Deep Learning. 402-411 - Venkata M. V. Gunturi:
Spatial Co-location Pattern Mining. 412-421
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