This document summarizes the results of an exploratory survey about process mining and the ProM framework. The survey received responses from practitioners, researchers, students and others. Key findings include:
- ProM was the most frequently used process mining tool. Benefits included process analysis and improvement while drawbacks included complexity and performance issues.
- Respondents represented a wide geographical spread and varied in age and process mining expertise. Process mining was mainly applied to quality, performance, and audit areas.
- Features like the plug-ins and flexibility of ProM were seen as benefits, while usability and learning curve were identified as drawbacks. Most respondents had used ProM 5 or 6.
Economic perspective on deep and under cover exploration - Trench et al - Mar...John Sykes
Economic perspective on deep and under cover exploration - Trench et al - Mar 2015 - Centre for Exploration Targeting / Curtin University / University of Western Australia
Every Step you need in planning to extend a working open cast mine to underground mine on reaching a pit bottom.
Step-wise procedure to be followed is clearly mentioned.
Justifies the Indian Laws.
Sublevel Stoping method is explained in detail.
Case study of a copper mine is presented for eg.
Schmidt's Hammer Rebound Value Analysis for finding Uniaxial Compressive Stre...Jasmeet Singh Saluja
An innovative & easy way of establishing a relationship ship between Schmidt's Hammer Rebound value & Uniaxial Compressive Strength, Point Load Index & Density of rocks to obtain the value of UCS on site.
This method helps in eliminating the need of laboratory analysis of rock for UCS, Point Load Index & density determination.
Economic perspective on deep and under cover exploration - Trench et al - Mar...John Sykes
Economic perspective on deep and under cover exploration - Trench et al - Mar 2015 - Centre for Exploration Targeting / Curtin University / University of Western Australia
Every Step you need in planning to extend a working open cast mine to underground mine on reaching a pit bottom.
Step-wise procedure to be followed is clearly mentioned.
Justifies the Indian Laws.
Sublevel Stoping method is explained in detail.
Case study of a copper mine is presented for eg.
Schmidt's Hammer Rebound Value Analysis for finding Uniaxial Compressive Stre...Jasmeet Singh Saluja
An innovative & easy way of establishing a relationship ship between Schmidt's Hammer Rebound value & Uniaxial Compressive Strength, Point Load Index & Density of rocks to obtain the value of UCS on site.
This method helps in eliminating the need of laboratory analysis of rock for UCS, Point Load Index & density determination.
A detailed description and innovation by me on HIghwall Mining Methods.
Methods presented can inhance highwall stability and extraction %.
Contact me via mail @ jasmeetsinghsaluja@hotmail.com for method details, video and the program
Mineral Economics for Geologists: Take the Test Now - Centre for Exploration ...John Sykes
Are you a geologist in the mining sector?
Do you know how mineral economics drives decision making and success in you industry?
Prove it! Take the test now!
massive type interlayer with gabbroic rocks in the Eastern Desert; Main occurrences of Ti-Fe oxide deposits in Egypt; Abu Ghalaga Ore Deposit; Abu Ghalaga ilmenite ore deposit categories ; Abu Ghalaga Mineral composition; Mining Techniques; Origins; Korabkanci titano-magnetite ore; black sand placer deposits type; Rosetta (or Rashid East); Northern Sinai Coast
A new method is proposed that can be implemented in case of mine fire. One of the most fatal accidents in Mining is outbreak of mine fire, this method helps to isolate the area under fire and simultaneously tries to diminish the fire to prevent coal loss.
Indian Mining Legislation Mines Safety India Safety RulesNarayanan Nair
Mining Legislation in India, Indian Mines Regulatory Agency. Director General of Mines Safety, DGMS, Mines Rules, Metalliferous Mines Regulation, Mines Safety Rules
Occurrences of asbestos, vermiculite, corundum, magnesite and talc, are typically associated with Pan-African ultramafic rocks such as peridotite, serpentinite, gabbro, and norite.
Migif-Hafafit area in the Eastern Desert of Egypt contains asbestos-vermiculite deposits at several sites, occurs in the magnesium-rich metapelitic schist-ultramafic complex.
Sulfide mineralization are the main resource for exploiting Pb, Zn, and Cu metals in Egypt.
Sulfide mineralization is represented by four sulfide types of the different setting, lithology and ages, namely:
i) Lead-Zinc sulphide Deposits
ii) Cu-NiCo sulphide Deposits
This type of mineralization is well represented in Abu Swayel in South Eastern Desert. The ore is closely related to mafic-ultramafic and gabbro of ophiolitic rocks.
iii) Cu-Ni sulphide deposits
This type of mineralization occurs in layered mafic-ultramafic intrusions like gabbro rocks at Akarm and El Geneina .
iv) Stratiform Massive Sulphide (Zn-Cu-Pb) Deposits
This type of mineralization is represented by a group of small lenses associated with talc deposits in South Eastern Desert at: Um Samuki, Helgit, Maakal, Atshan, Darhib, Abu Gurdi, and Egat.
Manganese ore deposits are widely scattered in various districts in Egypt.
They occur at some localities in Sinai Peninsula and at a few localities in the Eastern Desert.
Manganese deposits are known:
in the Um Bogma district in west central Sinai; and
in the Halaib "Elba" district in the southern portion of Eastern Desert.
In addition, minor occurrences are known in Wadi Mialik near Abu Ghosun and Ras Banas in the Southern Eastern Desert, and Wadi Abu Shaar El Qibli (Black Hill), to the north of Hurghada
Egyptian Phosphate Ore Deposits; Red Sea Coast Phosphate Deposits; Nile Valley Phosphate Deposits; New Valley Geological Setting of Egyptian Phosphate; Geology of the Main Phosphate Regions; Egyptian Phosphate Ore Deposits:; Red Sea Coast Phosphate Deposits; Nile Valley Phosphate Deposits; New Valley Phosphate Deposits; Abu Tartur Ore Phosphate; Dakhla Phosphate; Common Characters of the Egyptian Phosphorites; Characteristics of the phosphate producing facies area; Phosphate Microfacies; Mineralogical composition ; Geochemistry ; Phosphate Reserves and Production
MINE LIFE CYCLE; LIFE CYCLE OF DEPOSITS; LIFE-CYCLE OF A MINE PROJECT; STAGES IN THE LIFE CYCLE OF A MINE PROJECT; Prospecting; Exploration ; 3D modeling software's for mining sectors; Mineral Resource; Mineral Reserve; Development; Exploitation ; MINE PLANNING CYCLE ; Reclamation; ENVIRONMENTAL IMPACTS OF NONRENEWABLE MINERAL RESOURCES; SOURCES OF METAL POLLUTION; Harmful Environmental Effects of Mining; Persistent, Bio-accumulative and Toxi (PBT ); Lead; Mercury; Cadmium; Arsenic
Presentation given at the BPM Executive Day, Bogota, Colombia, December 4, 2012. The presentation outlines the different dimensions of BPM activities an organization should consider when organizing their BPM efforts.
A detailed description and innovation by me on HIghwall Mining Methods.
Methods presented can inhance highwall stability and extraction %.
Contact me via mail @ jasmeetsinghsaluja@hotmail.com for method details, video and the program
Mineral Economics for Geologists: Take the Test Now - Centre for Exploration ...John Sykes
Are you a geologist in the mining sector?
Do you know how mineral economics drives decision making and success in you industry?
Prove it! Take the test now!
massive type interlayer with gabbroic rocks in the Eastern Desert; Main occurrences of Ti-Fe oxide deposits in Egypt; Abu Ghalaga Ore Deposit; Abu Ghalaga ilmenite ore deposit categories ; Abu Ghalaga Mineral composition; Mining Techniques; Origins; Korabkanci titano-magnetite ore; black sand placer deposits type; Rosetta (or Rashid East); Northern Sinai Coast
A new method is proposed that can be implemented in case of mine fire. One of the most fatal accidents in Mining is outbreak of mine fire, this method helps to isolate the area under fire and simultaneously tries to diminish the fire to prevent coal loss.
Indian Mining Legislation Mines Safety India Safety RulesNarayanan Nair
Mining Legislation in India, Indian Mines Regulatory Agency. Director General of Mines Safety, DGMS, Mines Rules, Metalliferous Mines Regulation, Mines Safety Rules
Occurrences of asbestos, vermiculite, corundum, magnesite and talc, are typically associated with Pan-African ultramafic rocks such as peridotite, serpentinite, gabbro, and norite.
Migif-Hafafit area in the Eastern Desert of Egypt contains asbestos-vermiculite deposits at several sites, occurs in the magnesium-rich metapelitic schist-ultramafic complex.
Sulfide mineralization are the main resource for exploiting Pb, Zn, and Cu metals in Egypt.
Sulfide mineralization is represented by four sulfide types of the different setting, lithology and ages, namely:
i) Lead-Zinc sulphide Deposits
ii) Cu-NiCo sulphide Deposits
This type of mineralization is well represented in Abu Swayel in South Eastern Desert. The ore is closely related to mafic-ultramafic and gabbro of ophiolitic rocks.
iii) Cu-Ni sulphide deposits
This type of mineralization occurs in layered mafic-ultramafic intrusions like gabbro rocks at Akarm and El Geneina .
iv) Stratiform Massive Sulphide (Zn-Cu-Pb) Deposits
This type of mineralization is represented by a group of small lenses associated with talc deposits in South Eastern Desert at: Um Samuki, Helgit, Maakal, Atshan, Darhib, Abu Gurdi, and Egat.
Manganese ore deposits are widely scattered in various districts in Egypt.
They occur at some localities in Sinai Peninsula and at a few localities in the Eastern Desert.
Manganese deposits are known:
in the Um Bogma district in west central Sinai; and
in the Halaib "Elba" district in the southern portion of Eastern Desert.
In addition, minor occurrences are known in Wadi Mialik near Abu Ghosun and Ras Banas in the Southern Eastern Desert, and Wadi Abu Shaar El Qibli (Black Hill), to the north of Hurghada
Egyptian Phosphate Ore Deposits; Red Sea Coast Phosphate Deposits; Nile Valley Phosphate Deposits; New Valley Geological Setting of Egyptian Phosphate; Geology of the Main Phosphate Regions; Egyptian Phosphate Ore Deposits:; Red Sea Coast Phosphate Deposits; Nile Valley Phosphate Deposits; New Valley Phosphate Deposits; Abu Tartur Ore Phosphate; Dakhla Phosphate; Common Characters of the Egyptian Phosphorites; Characteristics of the phosphate producing facies area; Phosphate Microfacies; Mineralogical composition ; Geochemistry ; Phosphate Reserves and Production
MINE LIFE CYCLE; LIFE CYCLE OF DEPOSITS; LIFE-CYCLE OF A MINE PROJECT; STAGES IN THE LIFE CYCLE OF A MINE PROJECT; Prospecting; Exploration ; 3D modeling software's for mining sectors; Mineral Resource; Mineral Reserve; Development; Exploitation ; MINE PLANNING CYCLE ; Reclamation; ENVIRONMENTAL IMPACTS OF NONRENEWABLE MINERAL RESOURCES; SOURCES OF METAL POLLUTION; Harmful Environmental Effects of Mining; Persistent, Bio-accumulative and Toxi (PBT ); Lead; Mercury; Cadmium; Arsenic
Presentation given at the BPM Executive Day, Bogota, Colombia, December 4, 2012. The presentation outlines the different dimensions of BPM activities an organization should consider when organizing their BPM efforts.
A system for designing, analyzing & controlling manufacturing through timely measurements (i.e during processing) of critical quality & performance attributes for raw & in-process materials & processes with the goal of ensuring final product quality.”
Why do we perform research?
What exactly is research?
How to perform research?
How to perform natural science?
How to perform design science?
How to design research?
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Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
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Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
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1. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Process Mining and the ProM
Framework: An Exploratory Survey
Jan Claes and Geert Poels
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012
2. Process mining survey
Exploratory survey
Goal: to reveal perceptions about
Process mining in general
ProM tool in particular
From 2012-3-18 to 2012-5-1 (44 days)
15 + 3 questions
28 – 119 answers per question (97 on average)
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 2/23
3. Process Mining Survey
Goal of this presentation
Presenting results
Discussion of results
Not to get feedback (although always welcome)
Feel free to interrupt at any time!
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 3/23
4. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Demographics
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012
5. Profession of respondents (98 respondents)
PRACTITIONER
auditor
consultant
processanalyst
researcher
student
other
RESEARCHER
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 5/23
6. Age of respondents (90 respondents)
21-24 year
25-29 year
30-34 year
35-39 year
40-44 year
45-49 year
50-54 year
55-60 year
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 6/23
7. Process mining expertise (98 respondents)
excellent
good
intermediate
bad
nonexistent
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 7/23
8. Application area (87 respondents)
quality
performance
audit
other
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 8/23
9. Geographical spread (90 respondents)
30 respondents 1 respondent
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 9/23
10. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
Process Mining
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012
11. Process mining tools (119 respondents)
ProM
ProM Import
Nitro
XESame
Disco
BPMOne
Futura Reflect
ARIS Process Performance…
QPR ProcessAnalyzer/Analysis
Interstage Autom. Process…
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 11/23
12. Benefits of process mining (94 respondents)
60 57
50
40
30
20 16 18
11 9
10 7 5 5 7
4 3 2 3 4 2
1
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 12/23
13. Drawback of process mining (90 respondents)
30 27
25 24
20 19
16 15
15
10 8 7
5 5
5 3 3 2 2 2 3
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 13/23
14. FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION
ProM
Faculty of Economics and Business Administration Process mining survey, BPI’12
Department of Management Information and Operations Management 3 September, 2012
15. Benefits & drawbacks of ProM (78 respondents)
60 58
50
41
40
30 22
20 13
9
10 5 3 2 5 5 2 2
0
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 15/23
16. Versions of ProM (114 respondents)
ProM 6
ProM 5
ProM 4
ProM 3
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 16/23
17. practice research ProM 5 vs. ProM 6 (114 respondents)
prom5
prom6
prom5
prom6
prom5
total
prom6
Frequent use Occasional use Tried it once Didn't use but heard about Never heard about
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 17/23
18. Plug-ins of ProM 5.2 (115 respondents)
Fuzzy Miner
Heuristics miner
Social network miner
Dotted Chart analysis
Alpha algorithm plugin
LTL Checker
Log Summary
Geneteic algorithm plugin
Alpha++ algorithm plugin
Basic Performance Analysis
Organizational Miner
Perf. Sequence Diagram Analysis
SCIFF Checker Plugin
Advanced Dotted Chart Analysis
Originator by Task Matrix
Transition System Generator
Semantic LTL Checker
Basic Log Statistics
Sequence Clustering
0 10 20 30 40 50
Frequent use Occasional use Tried it once
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 18/23
19. Plug-ins of ProM 6.1 (115 respondents)
Heuristics Miner
Mine for a Fuzzy Model
Analyze using Dotted Chart
Replay a Log on PN for Conf. Analysis
Animate Event Log in Fuzzy instance
Add Artificial Events
Mine for a Handover-of-Work Social Network
Trace Alignment (with Guide Tree)
LTL Checker Default
Mine for a PN using Alpha-algorithm
LTL Checker
Flexible Heuristics Miner
Mine for a Working-Together Social Network
Filter Log Using Simple Heuristics
Analyze Transition System
Mine Transition System
0 5 10 15 20 25 30
Frequent use Occasional use Tried it once
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 19/23
20. Plug-ins of ProM 5.2 (48 respondents)
Basic Log Statistics
Log Summary
Basic Performance Analysis
Originator by Task Matrix
Social network miner
Organizational Miner
Heuristics miner
Alpha algorithm plugin
Alpha++ algorithm plugin
Advanced Dotted Chart Analysis
LTL Checker
Dotted Chart analysis
Perf. Sequence Diagram Analysis
Fuzzy Miner
Semantic LTL Checker
Transition System Generator
SCIFF Checker Plugin
Sequence Clustering
Trace Clustering
Genetic algorithm plugin
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 20/23
21. Plug-ins of ProM 6.1 (48 respondents)
Add Artificial Events
Mine for a PN using Alpha-algorithm
Analyze using Dotted Chart
Animate Event Log in Fuzzy instance
Mine for a Fuzzy Model
Heuristics Miner
LTL Checker Default
Replay Log on PN for Conf. Analysis
Flexible Heuristics Miner
Mine Transition System
Mine for a PN using ILP
LTL Checker
Genetic Miner - from initial population
Trace Alignment (with Guide Tree)
intuitive understand trust fast default settings
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 21/23
22. Conclusion
Focus was on relevance rather than rigor
Limitations
Open questions (risk of misinterpretation)
Optional questions (no linking of questions possible)
Some anomalies detected (e.g. double answers)
Implications
Research: perliminary insights to derive hypotheses
Practice: insight in (perceived) properties
Developers: general feedback and specific focus points
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 22/23
23. Contact information
Download the extended report and the raw data set
at http://www.janclaes.info/papers/PMSurvey/
(the link is also mentioned in the paper)
Download a digital copy of the paper
at http://processmining.ugent.be/contributions.php
(the link is also mentioned in the paper)
Jan Claes
jan.claes@ugent.be
http://www.janclaes.info
Twitter: @janclaesbelgium
Faculty of Economics and Business Administration Process mining survey , BPI’12
Department of Management Information and Operations Management 23/23