Issue 3/2019
Special Issue: Big Data, IoT Streams and Heterogeneous Source Mining
Content (7 Articles)
Editorial
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining
Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip Yu
Open Access
Regular Paper
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams
Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl
Regular Paper
Analyzing evolving stories in news articles
Roberto Camacho Barranco, Arnold P. Boedihardjo, M. Shahriar Hossain
Regular Paper
AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks
Dean Teffer, Ravi Srinivasan, Joydeep Ghosh
Open Access
Regular Paper
Online conformance checking: relating event streams to process models using prefix-alignments
Sebastiaan J. van Zelst, Alfredo Bolt, Marwan Hassani, Boudewijn F. van Dongen, Wil M. P. van der Aalst
Regular Paper
Data-driven discovery of causal interactions
Saisai Ma, Lin Liu, Jiuyong Li, Thuc Duy Le
Applications
Location identification for real estate investment using data analytics
E. Sandeep Kumar, Viswanath Talasila, Naphtali Rishe, T. V. Suresh Kumar, S. S. Iyengar