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Towards comprehensive support for organizational mining
2008
Decision Support Systems
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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
2009
European Journal of Operational Research
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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]
2010
Lecture Notes in Computer Science
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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]
2021
arXiv
pre-print
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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
2014
International Journal of Computer Applications
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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
2020
Journal of the Southern African Institute of Mining and Metallurgy
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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
2008
Information and Software Technology
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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]
2019
Lecture Notes in Business Information Processing
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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
2021
Energies
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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
2007
2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)
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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
2009
Journal of Field Robotics
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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
2009
2009 IEEE International Conference on Robotics and Automation
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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
2018
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies
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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
2011
2011 International Conference on Advances in Social Networks Analysis and Mining
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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
2006
Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)
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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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