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Towards comprehensive support for organizational mining

Minseok Song, Wil M.P. van der Aalst
2008 Decision Support Systems  
The omnipresence of event logs is an important enabler for process mining. The primary goal of process mining is to extract knowledge from these logs and use it for a detailed analysis of reality.  ...  To do this, we present new process mining techniques but also use existing techniques in an innovative manner. The approach has been implemented in the context of the ProM framework.  ...  Moreover, we showed how organizational mining can benefit from creatively using approaches developed for the process perspective.  ... 
doi:10.1016/j.dss.2008.07.002 fatcat:wszvxwh4irc2fm7xvkxiswryfy

Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners

Zoe Y. Zhuang, Leonid Churilov, Frada Burstein, Ken Sikaris
2009 European Journal of Operational Research  
from these data through data mining with Kohonen's self-organizing maps constitutes the base that, with further assistance of modern data visualization tools and on-line processing interfaces, can provide  ...  In this paper a novel methodology for integrating data mining and case-based reasoning for decision support for pathology ordering is proposed.  ...  large group of peer GPs Judgment based on individual GP's knowledge and experience Situational relevance Data is prepared from a patient-oriented perspective Caters well to a particular patient  ... 
doi:10.1016/j.ejor.2007.11.003 fatcat:cymld3nvkjgurdzg76igcvhyvq

Ubiquitous Data [chapter]

Andreas Hotho, Rasmus Ulslev Pedersen, Michael Wurst
2010 Lecture Notes in Computer Science  
While data themselves are a central part of the knowledge discovery process, in a ubiquitous setting new challenges arise.  ...  The first example comes from Web 2.0 and includes network mining and social networks. Later, we look at sensor networks and wireless sensor networks in particular.  ...  Thus by collaborating in the Data Mining process, each learner can profit from the work done by other nodes [18] . Network Mining.  ... 
doi:10.1007/978-3-642-16392-0_4 fatcat:2wc2yy55yfa5jnmpwc2ez2dwiu

Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients [article]

Adriano Augusto, Timothy Deitz, Noel Faux, Jo-Anne Manski-Nankervis, Daniel Capurro
2021 arXiv   pre-print
Process mining is a discipline sitting between data mining and process science, whose goal is to provide theoretical methods and software tools to analyse process execution data, known as event logs.  ...  By using a combination of process mining techniques and traditional data mining, we were able to demonstrate that vaccinations in Victoria did not drop drastically--as other interactions did.  ...  [7] designed a process mining approach to automatically and in real-time detect process deviations from recommended clinical guidelines.  ... 
arXiv:2112.04634v2 fatcat:q4n2wtsrsffvpbhzoqkhewuoei

The Use of Mobile Technology for Detecting Landmines

Iraky Kalifa, Aliaa Youssif, Ahmed Adel
2014 International Journal of Computer Applications  
This paper presents an enhancements of the method of mine detection of previously published research paper in [1], enhancements include a new direct approach for remote sensing based on the concept of  ...  The solution based on integrated technologies by using the wireless communications, cellular technologies, the packet oriented mobile data service and sensor technology to obtain a full control from a  ...  so that you can view the Earth from a unique perspective or Google Map application for exploring the surface of the Earth and underground locations.  ... 
doi:10.5120/16008-5034 fatcat:6b3mvyicmfdpblqslzmk2qfmt4

Applications for the Hovermap autonomous drone system in underground mining operations

E. Jones, J. Sofonia, C. Canales, S. Hrabar, F. Kendoul
2020 Journal of the Southern African Institute of Mining and Metallurgy  
The examples discussed focus principally on improving the detail of observational data from inaccessible areas commonly encountered in underground mines.  ...  Synopsis The development and application of the Hovermap autonomous flight system are discussed in relation to underground mining, with examples from its early adoption.  ...  Using Hovermap results, mining professionals can capture a better perspective of the blockage for a more targeted approach to its removal.  ... 
doi:10.17159/2411-9717/862/2020 fatcat:yk67pr7ov5gkxirbzj4244zxxa

Engineering contextual knowledge for autonomic pervasive services

Gabriella Castelli, Marco Mamei, Franco Zambonelli
2008 Information and Software Technology  
In the past few years, a number of different research communities, from pervasive computing, to data mining and granular computing, have somewhat recognized the above problems, and have proposed solutions  ...  and understanding them, towards a model of "situation-awareness", in which services access properly structured and organized information reflecting comprehensive contextual knowledge related to a "situation  ...  This approach is similar to the classical data mining process, in which in a first step is devoted to identify all data sets, and then patterns and rules are inferred from sets.  ... 
doi:10.1016/j.infsof.2007.10.009 fatcat:7inwvm4rljgpnnsrdnpsyb6jee

A Multi-level Approach for Identifying Process Change in Cancer Pathways [chapter]

Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David Hogg, Owen Johnson
2019 Lecture Notes in Business Information Processing  
Our approach applies a qualitative process comparison at three levels of abstraction: a holistic perspective summarizing patient pathways (process model level), a middle level perspective based on activity  ...  We propose a structured approach to analyse process change over time suitable for the complex domain of healthcare.  ...  Method General Method Our structured approach combined the well-established PM 2 process mining method [15] with concept drift analysis [4] . Bose et al.  ... 
doi:10.1007/978-3-030-37453-2_48 fatcat:ugl3k2hkpfa7talrcfc26t6ktu

Enhancement of Machinery Activity Recognition in a Mining Environment with GPS Data

Paulina Gackowiec, Edyta Brzychczy, Marek Kęsek
2021 Energies  
Our approach enables a significant acceleration of subsequent analyses, e.g., analysis of the machine states structure, which may be helpful in the optimisation of its use.  ...  Fast-growing methods of automatic data acquisition allow for collecting various types of data from the production process.  ...  Figure 10 . 10 A process model of wheel loader operation. Figure 10 . 10 A process model of wheel loader operation. bucket statuses and other variables (e.g., GPS position).  ... 
doi:10.3390/en14123422 fatcat:odcnxdt645bgrimjwhipj3lrk4

Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective

Zoe Zhuang, Rasika Amarasiri, Leonid Churilov, Damminda Alahakoon, Ken Sikaris
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
a doctors' perspective.  ...  requests obtained from a pathology company in Australia.  ...  Text mining is the automated or partially automated processing of text by imposing structure upon text and extracting useful information from text [9] .  ... 
doi:10.1109/hicss.2007.220 dblp:conf/hicss/ZhuangACAS07 fatcat:gvtn6g4u3bbxdgcl5zf57f2lbq

Gaussian process modeling of large-scale terrain

Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh Durrant-Whyte
2009 Journal of Field Robotics  
Experiments performed on sparse GPS based survey data as well as dense laser scanner data taken at different mine-sites are reported in support of these claims.  ...  A single Non-Stationary (Neural Network) Gaussian Process is shown to be powerful enough to model large and complex terrain, handling issues relating to discontinuous data effectively.  ...  The second data set comprises of GPS based survey data (4612 points) from a large Kimberlite (diamond) mine.  ... 
doi:10.1002/rob.20309 fatcat:62h2fa5klvfydpvn5yeqq5cvzm

Gaussian Process modeling of large scale terrain

S. Vasudevan, F. Ramos, E. Nettleton, H. Durrant-Whyte, A. Blair
2009 2009 IEEE International Conference on Robotics and Automation  
Experiments performed on sparse GPS based survey data as well as dense laser scanner data taken at different mine-sites are reported in support of these claims.  ...  A single Non-Stationary (Neural Network) Gaussian Process is shown to be powerful enough to model large and complex terrain, handling issues relating to discontinuous data effectively.  ...  The second data set comprises of GPS based survey data (4612 points) from a large Kimberlite (diamond) mine.  ... 
doi:10.1109/robot.2009.5152677 dblp:conf/icra/VasudevanRNDB09 fatcat:nrz24nvh4rb43lqivkxbzk2uvy

Applying Process Mining and RTLS for Modeling, and Analyzing Patients' Pathways

Sina Namaki Araghi, Franck Fontanili, Elyes Lamine, Ludovic Tancerel, Frédérick Benaben
2018 Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies  
The approach of this work helps to visualize patients' pathways and analyze them by associating real-time localization and process mining.  ...  Findings: Healthcare organizations are getting more eager to learn from the execution of their processes. They seek different tools and approaches to analyze the processes and visualize the problems.  ...  Process mining is a set of techniques and methods which are subjected to discover the business processes from event logs.  ... 
doi:10.5220/0006651605400547 dblp:conf/biostec/AraghiFLTB18 fatcat:kxtpqqkqvjce5kw4yya6vfls6a

Geo-Friends Recommendation in GPS-based Cyber-physical Social Network

Xiao Yu, Ang Pan, Lu-An Tang, Zhenhui Li, Jiawei Han
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
Our approach estimates link relevance and finds promising geo-friends by employing a random walk process on the heterogeneous information network.  ...  By combining GPS information and social network structures, we build a pattern-based heterogeneous information network.  ...  This can be explained from different perspectives. 1) High frequency patterns usually indicate common public locations people can all related to, e.g., a bus station, or a hospital.  ... 
doi:10.1109/asonam.2011.118 dblp:conf/asunam/YuPTLH11 fatcat:3uebaemtergp5bxup4quvlys3a

Uncovering the Patterns in Pathology Ordering by Australian General Practitioners: A Data Mining Perspective

Zoe Yan Zhuang, L. Churilov, K. Sikaris
2006 Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)  
The novelty of this approach is in using data mining techniques on pathology ordering data in order to provide a patient oriented perspective for understanding the nature of ordering patterns. .  ...  Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide.  ...  Research design This project is designed as an exploratory investigation of pathology ordering by GPs from a patient oriented perspective.  ... 
doi:10.1109/hicss.2006.513 dblp:conf/hicss/ZhuangCS06 fatcat:tbq323w3rjeh5lcjppzsqlzsjm
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