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Process mining is a new emerging research trend over the last decade which focuses on analyzing the processes using event log and data. The raising integration of information systems for the operation of business processes provides the…

Software Engineering · Computer Science 2019-09-16 B. Kamala

Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation…

Advanced systems such as IoT comprise many heterogeneous, interconnected, and autonomous entities operating in often highly dynamic environments. Due to their large scale and complexity, large volumes of monitoring data are generated and…

Software Engineering · Computer Science 2020-04-09 Lucas Sakizloglou , Sona Ghahremani , Thomas Brand , Matthias Barkowsky , Holger Giese

Linked Data have emerged as a successful publication format and one of its main strengths is its fitness for integration of data from multiple sources. This gives them a great potential both for semantic applications and the enterprise…

Databases · Computer Science 2014-10-30 Jan Michelfeit , Tomáš Knap , Martin Nečaský

Information Fusion Systems are now widely used in different fusion contexts, like scientific processing, sensor networks, video and image processing. One of the current trends in this area is to cope with distributed systems. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-06-26 Eric Benoit , Marc-Philippe Huget , Patrice Moreaux , Olivier Passalacqua

Developing a novel research idea is hard. It must be distinct enough from prior work to claim a contribution while also building on it. This requires iteratively reviewing literature and refining an idea based on what a researcher reads;…

Human-Computer Interaction · Computer Science 2026-04-14 Hita Kambhamettu , Bhavana Dalvi Mishra , Andrew Head , Jonathan Bragg , Aakanksha Naik , Joseph Chee Chang , Pao Siangliulue

In Big data era, information integration often requires abundant data extracted from massive data sources. Due to a large number of data sources, data source selection plays a crucial role in information integration, since it is costly and…

Databases · Computer Science 2016-11-01 Yiming Lin , Hongzhi Wang , Jianzhong Li , Hong Gao

Data-driven storytelling has gained prominence in journalism and other data reporting fields. However, the process of creating these stories remains challenging, often requiring the integration of effective visualizations with compelling…

Human-Computer Interaction · Computer Science 2025-04-01 Yu Fu , Dennis Bromley , Vidya Setlur

The emerging age of connected, digital world means that there are tons of data, distributed to various organizations and their databases. Since this data can be confidential in nature, it cannot always be openly shared in seek of artificial…

Software Engineering · Computer Science 2021-03-17 Tuomas Granlund , Aleksi Kopponen , Vlad Stirbu , Lalli Myllyaho , Tommi Mikkonen

Decision mining enables the discovery of decision rules from event logs or streams, and constitutes an important part of in-depth analysis and optimisation of business processes. So far, decision mining has been merely applied in an ex-post…

Artificial Intelligence · Computer Science 2023-03-08 Beate Scheibel , Stefanie Rinderle-Ma

In modern advanced emergency management systems many solutions for decision support have been provided as attempts to support humans to take important decisions for the critical situations recovery. The critical situation detection is a…

Computers and Society · Computer Science 2014-05-01 Massimiliano L. Itria , Alessandro Daidone , Andrea Ceccarelli

The emerging practice of data-driven storytelling is framing data using familiar narrative mechanisms such as slideshows, videos, and comics to make even highly complex phenomena understandable. However, current data stories are still not…

Human-Computer Interaction · Computer Science 2025-11-18 Zhenpeng Zhao , Niklas Elmqvist

We present a new model for rollback recovery in distributed dataflow systems. We explain existing rollback schemes by assigning a logical time to each event such as a message delivery. If some processors fail during an execution, the system…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-01 Michael Isard , Martín Abadi

The advantages of event-sensing over conventional sensors (e.g., higher dynamic range, lower time latency, and lower power consumption) have spurred research into machine learning for event data. Unsurprisingly, deep learning has emerged as…

Machine Learning · Computer Science 2021-06-11 Fuqiang Gu , Weicong Sng , Xuke Hu , Fangwen Yu

A method for representing the digest information of each dataset is proposed, oriented to the aid of innovative thoughts and the communication of data users who attempt to create valuable products, services, and business models using or…

Databases · Computer Science 2022-08-09 Yukio Ohsawa , Kaira Sekiguchi , Tomohide Maekawa , Hiroki Yamaguchi , Son Yeon Hyuk , Sae Kondo

Event prediction is the ability of anticipating future events, i.e., future real-world occurrences, and aims to support the user in deciding on actions that change future events towards a desired state. An event prediction method learns the…

Artificial Intelligence · Computer Science 2025-07-10 Janik-Vasily Benzin , Stefanie Rinderle-Ma

Multimedia data is a form of data that can represent all types of data (images, sound and text). The use of multimedia data for the online application requires a more comprehensive database in the use of storage media, Sorting / indexing,…

Multimedia · Computer Science 2010-03-17 A. Muslim , A. B. Mutiara , C. M. Karyati , P. Musa

Themed collocated events, such as conferences, workshops, and seminars, invite people with related life experiences to connect with each other. In this era when people record lives through the Internet, individual experiences exist in…

Human-Computer Interaction · Computer Science 2018-11-09 Shuo Niu , D. Scott McCrickard , Steve Harrison

Digital twins are becoming increasingly popular across many industries for real-time data streaming, processing, and visualization. They allow stakeholders to monitor, diagnose, and optimize assets. Emerging technologies used for immersive…

Signal Processing · Electrical Eng. & Systems 2024-01-05 Florian Stadtmann , Hary Pirajan Mahalingam , Adil Rasheed

Traditionally, research in Business Process Management has put a strong focus on centralized and intra-organizational processes. However, today's business processes are increasingly distributed, deviating from a centralized layout, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-10 Michael Borkowski , Walid Fdhila , Matteo Nardelli , Stefanie Rinderle-Ma , Stefan Schulte